Add Mistral AI + OpenParlData MCP chatbot

- Integrated Mistral-7B-Instruct for natural language query understanding
- Connected to real OpenParlData API (https://api.openparldata.ch)
- Full MCP integration for Swiss parliamentary data access
- Multi-language support (EN/DE/FR/IT)
- Optional debug mode to show tool execution
- Real-time data from 74 Swiss parliaments (federal, cantonal, municipal)

Features:
- Search parliamentary votes, parliamentarians, motions, and debates
- Automatic query transformation via Mistral AI
- Clean Gradio ChatInterface with examples
- Professional formatting of parliamentary data

🤖 Generated with Claude Code (https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

.env.example

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+# Hugging Face API Token
+# Get your token from: https://huggingface.co/settings/tokens
+HF_TOKEN=your_huggingface_token_here
+
+# Optional: Set this if using OpenAI or Anthropic models
+# OPENAI_API_KEY=your_openai_key_here
+# ANTHROPIC_API_KEY=your_anthropic_key_here

.gitignore

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+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+env/
+venv/
+.venv/
+
+# Environment variables
+.env
+
+# Gradio
+gradio_cached_examples/
+flagged/
+
+# IDE
+.vscode/
+.idea/
+*.swp
+*.swo
+
+# OS
+.DS_Store
+.cache/

app.py

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+"""
+CoJournalist Data - Swiss Parliamentary Data Chatbot
+Powered by Mistral AI and OpenParlData MCP
+"""
+
+import os
+import json
+import gradio as gr
+from huggingface_hub import InferenceClient
+from dotenv import load_dotenv
+from mcp_integration import execute_mcp_query, OpenParlDataClient
+import asyncio
+
+# Load environment variables
+load_dotenv()
+
+# Initialize Hugging Face Inference Client
+HF_TOKEN = os.getenv("HF_TOKEN")
+if not HF_TOKEN:
+    print("Warning: HF_TOKEN not found. Please set it in .env file or Hugging Face Space secrets.")
+
+client = InferenceClient(token=HF_TOKEN)
+
+# Available languages
+LANGUAGES = {
+    "English": "en",
+    "Deutsch": "de",
+    "Français": "fr",
+    "Italiano": "it"
+}
+
+# System prompt for Mistral
+SYSTEM_PROMPT = """You are a helpful assistant that helps users query Swiss parliamentary data.
+
+You have access to the following tools from the OpenParlData MCP server:
+
+1. **openparldata_search_parliamentarians** - Search for Swiss parliamentarians
+   Parameters: query (name/party), canton (2-letter code), party, active_only, language, limit
+
+2. **openparldata_get_parliamentarian** - Get detailed info about a specific parliamentarian
+   Parameters: person_id, include_votes, include_motions, language
+
+3. **openparldata_search_votes** - Search parliamentary votes
+   Parameters: query (title/description), date_from (YYYY-MM-DD), date_to, vote_type, language, limit
+
+4. **openparldata_get_vote_details** - Get detailed vote information
+   Parameters: vote_id, include_individual_votes, language
+
+5. **openparldata_search_motions** - Search motions and proposals
+   Parameters: query, status, date_from, date_to, submitter_id, language, limit
+
+6. **openparldata_search_debates** - Search debate transcripts
+   Parameters: query, date_from, date_to, speaker_id, language, limit
+
+When a user asks a question about Swiss parliamentary data:
+1. Analyze what information they need
+2. Determine which tool(s) to use
+3. Extract the relevant parameters from their question
+4. Respond with a JSON object containing the tool call
+
+Your response should be in this exact format:
+{
+  "tool": "tool_name",
+  "arguments": {
+    "param1": "value1",
+    "param2": "value2"
+  },
+  "explanation": "Brief explanation of what you're searching for"
+}
+
+If the user's question is not about Swiss parliamentary data or you cannot determine the right tool, respond with:
+{
+  "response": "Your natural language response here"
+}
+
+Example:
+User: "Who are the parliamentarians from Zurich?"
+Assistant:
+{
+  "tool": "openparldata_search_parliamentarians",
+  "arguments": {
+    "canton": "ZH",
+    "language": "en",
+    "limit": 20
+  },
+  "explanation": "Searching for active parliamentarians from Canton Zurich"
+}
+"""
+
+# Example queries
+EXAMPLES = {
+    "en": [
+        "Who are the parliamentarians from Zurich?",
+        "Show me recent votes about climate policy",
+        "What motions were submitted about healthcare in 2024?",
+        "Find debates about immigration reform"
+    ],
+    "de": [
+        "Wer sind die Parlamentarier aus Zürich?",
+        "Zeige mir aktuelle Abstimmungen zur Klimapolitik",
+        "Welche Anträge zum Gesundheitswesen wurden 2024 eingereicht?",
+        "Finde Debatten über Migrationsreform"
+    ],
+    "fr": [
+        "Qui sont les parlementaires de Zurich?",
+        "Montrez-moi les votes récents sur la politique climatique",
+        "Quelles motions sur la santé ont été soumises en 2024?",
+        "Trouvez les débats sur la réforme de l'immigration"
+    ],
+    "it": [
+        "Chi sono i parlamentari di Zurigo?",
+        "Mostrami i voti recenti sulla politica climatica",
+        "Quali mozioni sulla sanità sono state presentate nel 2024?",
+        "Trova i dibattiti sulla riforma dell'immigrazione"
+    ]
+}
+
+
+async def query_mistral_async(message: str, language: str = "en") -> dict:
+    """Query Mistral model to interpret user intent and determine tool calls."""
+
+    try:
+        # Create messages for chat completion
+        messages = [
+            {"role": "system", "content": SYSTEM_PROMPT},
+            {"role": "user", "content": f"Language: {language}\nQuestion: {message}"}
+        ]
+
+        # Call Mistral via HuggingFace Inference API
+        response = client.chat_completion(
+            model="mistralai/Mistral-7B-Instruct-v0.3",
+            messages=messages,
+            max_tokens=500,
+            temperature=0.3
+        )
+
+        # Extract response
+        assistant_message = response.choices[0].message.content
+
+        # Try to parse as JSON
+        try:
+            # Clean up response (sometimes models add markdown code blocks)
+            clean_response = assistant_message.strip()
+            if clean_response.startswith("```json"):
+                clean_response = clean_response[7:]
+            if clean_response.startswith("```"):
+                clean_response = clean_response[3:]
+            if clean_response.endswith("```"):
+                clean_response = clean_response[:-3]
+            clean_response = clean_response.strip()
+
+            return json.loads(clean_response)
+        except json.JSONDecodeError:
+            # If not valid JSON, treat as natural language response
+            return {"response": assistant_message}
+
+    except Exception as e:
+        return {"error": f"Error querying Mistral: {str(e)}"}
+
+
+def query_mistral(message: str, language: str = "en") -> dict:
+    """Synchronous wrapper for async Mistral query."""
+    return asyncio.run(query_mistral_async(message, language))
+
+
+async def execute_tool_async(tool_name: str, arguments: dict, show_debug: bool) -> tuple:
+    """Execute MCP tool asynchronously."""
+    return await execute_mcp_query("", tool_name, arguments, show_debug)
+
+
+def chat_response(message: str, history: list, language: str, show_debug: bool) -> str:
+    """
+    Main chat response function.
+
+    Args:
+        message: User's message
+        history: Chat history
+        language: Selected language
+        show_debug: Whether to show debug information
+
+    Returns:
+        Response string
+    """
+    try:
+        # Get language code
+        lang_code = LANGUAGES.get(language, "en")
+
+        # Query Mistral to interpret intent
+        mistral_response = query_mistral(message, lang_code)
+
+        # Check if it's a direct response (no tool call needed)
+        if "response" in mistral_response:
+            return mistral_response["response"]
+
+        # Check for error
+        if "error" in mistral_response:
+            return f"❌ {mistral_response['error']}"
+
+        # Execute tool call
+        if "tool" in mistral_response and "arguments" in mistral_response:
+            tool_name = mistral_response["tool"]
+            arguments = mistral_response["arguments"]
+            explanation = mistral_response.get("explanation", "")
+
+            # Ensure language is set in arguments
+            if "language" not in arguments:
+                arguments["language"] = lang_code
+
+            # Execute the tool
+            try:
+                response, debug_info = asyncio.run(
+                    execute_tool_async(tool_name, arguments, show_debug)
+                )
+
+                # Build final response
+                final_response = ""
+
+                if explanation:
+                    final_response += f"*{explanation}*\n\n"
+
+                if show_debug and debug_info:
+                    final_response += f"### 🔧 Debug Information\n{debug_info}\n\n---\n\n"
+
+                final_response += f"### 📊 Results\n{response}"
+
+                return final_response
+
+            except Exception as e:
+                return f"❌ Error executing tool '{tool_name}': {str(e)}"
+
+        # Fallback
+        return "I couldn't determine how to process your request. Please try rephrasing your question."
+
+    except Exception as e:
+        return f"❌ An error occurred: {str(e)}"
+
+
+# Custom CSS
+custom_css = """
+.gradio-container {
+    font-family: 'Inter', sans-serif;
+}
+.chatbot-header {
+    text-align: center;
+    padding: 20px;
+    background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
+    color: white;
+    border-radius: 10px;
+    margin-bottom: 20px;
+}
+"""
+
+# Build Gradio interface
+with gr.Blocks(css=custom_css, title="CoJournalist Data") as demo:
+    gr.Markdown(
+        """
+        <div class="chatbot-header">
+            <h1>🏛️ CoJournalist Data</h1>
+            <p>Ask questions about Swiss parliamentary data in natural language</p>
+        </div>
+        """
+    )
+
+    with gr.Row():
+        with gr.Column(scale=3):
+            chatbot = gr.Chatbot(
+                height=500,
+                label="Chat with CoJournalist",
+                show_label=False
+            )
+
+            with gr.Row():
+                msg = gr.Textbox(
+                    placeholder="Ask a question about Swiss parliamentary data...",
+                    show_label=False,
+                    scale=4
+                )
+                submit = gr.Button("Send", variant="primary", scale=1)
+
+        with gr.Column(scale=1):
+            gr.Markdown("### ⚙️ Settings")
+
+            language = gr.Radio(
+                choices=list(LANGUAGES.keys()),
+                value="English",
+                label="Language",
+                info="Select response language"
+            )
+
+            show_debug = gr.Checkbox(
+                label="Show debug info",
+                value=False,
+                info="Display tool calls and parameters"
+            )
+
+            gr.Markdown("### 💡 Example Questions")
+
+            # Dynamic examples based on language
+            def update_examples(lang):
+                lang_code = LANGUAGES.get(lang, "en")
+                return gr.update(
+                    choices=EXAMPLES.get(lang_code, EXAMPLES["en"])
+                )
+
+            examples_dropdown = gr.Dropdown(
+                choices=EXAMPLES["en"],
+                label="Try these:",
+                show_label=False
+            )
+
+            language.change(
+                fn=update_examples,
+                inputs=[language],
+                outputs=[examples_dropdown]
+            )
+
+    # Handle message submission
+    def respond(message, chat_history, language, show_debug):
+        if not message.strip():
+            return "", chat_history
+
+        # Get bot response
+        bot_message = chat_response(message, chat_history, language, show_debug)
+
+        # Update chat history
+        chat_history.append((message, bot_message))
+
+        return "", chat_history
+
+    # Handle example selection
+    def use_example(example):
+        return example
+
+    msg.submit(respond, [msg, chatbot, language, show_debug], [msg, chatbot])
+    submit.click(respond, [msg, chatbot, language, show_debug], [msg, chatbot])
+    examples_dropdown.change(use_example, [examples_dropdown], [msg])
+
+    gr.Markdown(
+        """
+        ---
+        **Note:** This app uses the OpenParlData MCP server to access Swiss parliamentary data.
+        Currently returning mock data while the OpenParlData API is in development.
+
+        Powered by [Mistral AI](https://mistral.ai/) and [Model Context Protocol (MCP)](https://modelcontextprotocol.io/)
+        """
+    )
+
+# Launch the app
+if __name__ == "__main__":
+    demo.launch()

mcp/openparldata_mcp.py

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+#!/usr/bin/env python3
+"""
+OpenParlData MCP Server
+
+This MCP server provides access to Swiss parliamentary data from the OpenParlData API.
+It enables searching and retrieving information about parliamentarians, votes, motions,
+and other parliamentary activities across Swiss federal, cantonal, and municipal levels.
+
+Note: This is based on typical parliamentary API endpoints as the actual OpenParlData API
+documentation was not accessible at the time of creation.
+"""
+
+import os
+import json
+from datetime import datetime
+from typing import Optional, List, Dict, Any
+from enum import Enum
+import httpx
+from mcp.server.fastmcp import FastMCP
+from pydantic import BaseModel, Field, field_validator, ConfigDict
+
+# Initialize the MCP server
+mcp = FastMCP("openparldata_mcp")
+
+# Constants
+API_BASE_URL = "https://api.openparldata.ch/v1"
+CHARACTER_LIMIT = 25000
+DEFAULT_LIMIT = 20
+MAX_LIMIT = 100
+
+# Enums for validation
+class Language(str, Enum):
+    DE = "de"
+    FR = "fr"
+    IT = "it"
+    EN = "en"
+
+class ParliamentLevel(str, Enum):
+    FEDERAL = "federal"
+    CANTONAL = "cantonal"
+    MUNICIPAL = "municipal"
+
+class VoteType(str, Enum):
+    FINAL = "final"
+    DETAIL = "detail"
+    OVERALL = "overall"
+
+class ResponseFormat(str, Enum):
+    JSON = "json"
+    MARKDOWN = "markdown"
+
+# Pydantic models for input validation
+
+class SearchParliamentariansInput(BaseModel):
+    """Input for searching parliamentarians."""
+    model_config = ConfigDict(str_strip_whitespace=True, validate_assignment=True, extra='forbid')
+    
+    query: Optional[str] = Field(None, description="Search query for name or party", min_length=1, max_length=100)
+    canton: Optional[str] = Field(None, description="Canton code (e.g., 'ZH', 'BE', 'GE')", pattern="^[A-Z]{2}$")
+    party: Optional[str] = Field(None, description="Party abbreviation (e.g., 'SP', 'SVP', 'FDP')")
+    active_only: bool = Field(True, description="Only return active parliamentarians")
+    level: Optional[ParliamentLevel] = Field(None, description="Parliament level filter")
+    language: Language = Field(Language.EN, description="Response language")
+    limit: int = Field(DEFAULT_LIMIT, description="Maximum results to return", ge=1, le=MAX_LIMIT)
+    offset: int = Field(0, description="Pagination offset", ge=0)
+    response_format: ResponseFormat = Field(ResponseFormat.MARKDOWN, description="Response format")
+
+class GetParliamentarianInput(BaseModel):
+    """Input for getting a specific parliamentarian's details."""
+    model_config = ConfigDict(str_strip_whitespace=True, validate_assignment=True, extra='forbid')
+    
+    person_id: str = Field(..., description="Unique ID of the parliamentarian", min_length=1, max_length=50)
+    include_votes: bool = Field(False, description="Include recent voting history")
+    include_motions: bool = Field(False, description="Include submitted motions")
+    language: Language = Field(Language.EN, description="Response language")
+    response_format: ResponseFormat = Field(ResponseFormat.MARKDOWN, description="Response format")
+
+class SearchVotesInput(BaseModel):
+    """Input for searching parliamentary votes."""
+    model_config = ConfigDict(str_strip_whitespace=True, validate_assignment=True, extra='forbid')
+    
+    query: Optional[str] = Field(None, description="Search query for vote title or description", min_length=1, max_length=200)
+    date_from: Optional[str] = Field(None, description="Start date (ISO format: YYYY-MM-DD)", pattern="^\\d{4}-\\d{2}-\\d{2}$")
+    date_to: Optional[str] = Field(None, description="End date (ISO format: YYYY-MM-DD)", pattern="^\\d{4}-\\d{2}-\\d{2}$")
+    parliament_id: Optional[str] = Field(None, description="Filter by parliament ID")
+    vote_type: Optional[VoteType] = Field(None, description="Type of vote")
+    level: Optional[ParliamentLevel] = Field(ParliamentLevel.FEDERAL, description="Parliament level")
+    language: Language = Field(Language.EN, description="Response language")
+    limit: int = Field(DEFAULT_LIMIT, description="Maximum results to return", ge=1, le=MAX_LIMIT)
+    offset: int = Field(0, description="Pagination offset", ge=0)
+    response_format: ResponseFormat = Field(ResponseFormat.MARKDOWN, description="Response format")
+
+class GetVoteDetailsInput(BaseModel):
+    """Input for getting detailed vote information."""
+    model_config = ConfigDict(str_strip_whitespace=True, validate_assignment=True, extra='forbid')
+    
+    vote_id: str = Field(..., description="Unique vote identifier", min_length=1, max_length=50)
+    include_individual_votes: bool = Field(False, description="Include how each parliamentarian voted")
+    language: Language = Field(Language.EN, description="Response language")
+    response_format: ResponseFormat = Field(ResponseFormat.MARKDOWN, description="Response format")
+
+class SearchMotionsInput(BaseModel):
+    """Input for searching parliamentary motions and proposals."""
+    model_config = ConfigDict(str_strip_whitespace=True, validate_assignment=True, extra='forbid')
+    
+    query: Optional[str] = Field(None, description="Search query for motion text", min_length=1, max_length=200)
+    submitter_id: Optional[str] = Field(None, description="Filter by submitter's ID")
+    status: Optional[str] = Field(None, description="Motion status (e.g., 'pending', 'accepted', 'rejected')")
+    date_from: Optional[str] = Field(None, description="Start date (ISO format)", pattern="^\\d{4}-\\d{2}-\\d{2}$")
+    date_to: Optional[str] = Field(None, description="End date (ISO format)", pattern="^\\d{4}-\\d{2}-\\d{2}$")
+    level: Optional[ParliamentLevel] = Field(ParliamentLevel.FEDERAL, description="Parliament level")
+    language: Language = Field(Language.EN, description="Response language")
+    limit: int = Field(DEFAULT_LIMIT, description="Maximum results", ge=1, le=MAX_LIMIT)
+    offset: int = Field(0, description="Pagination offset", ge=0)
+    response_format: ResponseFormat = Field(ResponseFormat.MARKDOWN, description="Response format")
+
+class SearchDebatesInput(BaseModel):
+    """Input for searching parliamentary debates."""
+    model_config = ConfigDict(str_strip_whitespace=True, validate_assignment=True, extra='forbid')
+    
+    query: Optional[str] = Field(None, description="Search query for debate content", min_length=1, max_length=200)
+    date_from: Optional[str] = Field(None, description="Start date (ISO format)", pattern="^\\d{4}-\\d{2}-\\d{2}$")
+    date_to: Optional[str] = Field(None, description="End date (ISO format)", pattern="^\\d{4}-\\d{2}-\\d{2}$")
+    speaker_id: Optional[str] = Field(None, description="Filter by speaker's ID")
+    topic: Optional[str] = Field(None, description="Topic or theme filter")
+    parliament_id: Optional[str] = Field(None, description="Parliament identifier")
+    level: Optional[ParliamentLevel] = Field(ParliamentLevel.FEDERAL, description="Parliament level")
+    language: Language = Field(Language.EN, description="Response language")
+    limit: int = Field(DEFAULT_LIMIT, description="Maximum results", ge=1, le=MAX_LIMIT)
+    offset: int = Field(0, description="Pagination offset", ge=0)
+    response_format: ResponseFormat = Field(ResponseFormat.MARKDOWN, description="Response format")
+
+# Helper functions
+
+def truncate_response(content: str, limit: int = CHARACTER_LIMIT) -> str:
+    """Truncate response if it exceeds character limit."""
+    if len(content) <= limit:
+        return content
+    
+    return content[:limit] + "\n\n... [Response truncated due to size limit. Use pagination parameters to retrieve more data.]"
+
+def format_date(date_str: str) -> str:
+    """Format ISO date string to human-readable format."""
+    try:
+        dt = datetime.fromisoformat(date_str.replace('Z', '+00:00'))
+        return dt.strftime("%B %d, %Y")
+    except:
+        return date_str
+
+def format_parliamentarian_markdown(person: Dict[str, Any]) -> str:
+    """Format parliamentarian data as markdown."""
+    lines = [
+        f"## {person.get('first_name', '')} {person.get('last_name', '')}",
+        f"**Party:** {person.get('party', 'N/A')}",
+        f"**Canton:** {person.get('canton', 'N/A')}",
+        f"**Parliament:** {person.get('parliament_name', 'N/A')}",
+        f"**Status:** {'Active' if person.get('active') else 'Inactive'}",
+    ]
+    
+    if person.get('email'):
+        lines.append(f"**Email:** {person['email']}")
+    if person.get('phone'):
+        lines.append(f"**Phone:** {person['phone']}")
+    if person.get('committee_memberships'):
+        lines.append("\n### Committee Memberships")
+        for committee in person['committee_memberships']:
+            lines.append(f"- {committee}")
+    
+    return "\n".join(lines)
+
+def format_vote_markdown(vote: Dict[str, Any]) -> str:
+    """Format vote data as markdown."""
+    lines = [
+        f"## {vote.get('title', 'Vote')}",
+        f"**Date:** {format_date(vote.get('date', ''))}",
+        f"**Type:** {vote.get('type', 'N/A')}",
+        f"**Result:** {vote.get('result', 'N/A')}",
+    ]
+    
+    if vote.get('yes_count') is not None:
+        lines.extend([
+            f"\n### Vote Count",
+            f"- **Yes:** {vote['yes_count']}",
+            f"- **No:** {vote.get('no_count', 0)}",
+            f"- **Abstentions:** {vote.get('abstention_count', 0)}",
+        ])
+    
+    if vote.get('description'):
+        lines.extend(["\n### Description", vote['description']])
+    
+    return "\n".join(lines)
+
+def format_motion_markdown(motion: Dict[str, Any]) -> str:
+    """Format motion data as markdown."""
+    lines = [
+        f"## {motion.get('title', 'Motion')}",
+        f"**Submitted:** {format_date(motion.get('submission_date', ''))}",
+        f"**Submitter:** {motion.get('submitter_name', 'N/A')}",
+        f"**Status:** {motion.get('status', 'N/A')}",
+    ]
+    
+    if motion.get('text'):
+        lines.extend(["\n### Motion Text", motion['text'][:500] + ("..." if len(motion['text']) > 500 else "")])
+    
+    if motion.get('response'):
+        lines.extend(["\n### Government Response", motion['response'][:500] + ("..." if len(motion['response']) > 500 else "")])
+    
+    return "\n".join(lines)
+
+# Mock API functions (replace with actual API calls when API is accessible)
+
+async def make_api_request(endpoint: str, params: Dict[str, Any]) -> Dict[str, Any]:
+    """
+    Make an API request to OpenParlData.
+    Now using the real OpenParlData API!
+    """
+    # Clean up params - remove None values
+    clean_params = {k: v for k, v in params.items() if v is not None}
+
+    # Ensure endpoint has trailing slash (API requires it)
+    if not endpoint.endswith('/'):
+        endpoint = endpoint + '/'
+
+    try:
+        async with httpx.AsyncClient(timeout=30.0, follow_redirects=True) as client:
+            response = await client.get(f"{API_BASE_URL}{endpoint}", params=clean_params)
+            response.raise_for_status()
+            return response.json()
+    except httpx.HTTPError as e:
+        return {
+            "status": "error",
+            "message": f"API request failed: {str(e)}",
+            "endpoint": endpoint,
+            "params": clean_params
+        }
+    except Exception as e:
+        return {
+            "status": "error",
+            "message": f"Unexpected error: {str(e)}",
+            "endpoint": endpoint,
+            "params": clean_params
+        }
+
+# Tool implementations
+
+@mcp.tool(
+    name="openparldata_search_parliamentarians",
+    annotations={
+        "title": "Search Parliamentarians",
+        "readOnlyHint": True,
+        "destructiveHint": False,
+        "idempotentHint": True,
+        "openWorldHint": True
+    }
+)
+async def search_parliamentarians(params: SearchParliamentariansInput) -> str:
+    """
+    Search for parliamentarians across Swiss federal, cantonal, and municipal levels.
+    
+    Returns a list of parliamentarians matching the search criteria, including their
+    party affiliation, canton, and current status.
+    
+    Examples:
+    - Search for all active federal parliamentarians from Zurich
+    - Find all SP party members in cantonal parliaments
+    - Search for a specific person by name
+    """
+    request_params = {
+        "search": params.query,
+        "active": params.active_only,
+        "lang": params.language.value,
+        "limit": params.limit,
+        "offset": params.offset,
+        "sort_by": "-id"
+    }
+
+    # Add canton filter if provided
+    if params.canton:
+        request_params["body_key"] = params.canton
+
+    # Add party filter if provided
+    if params.party:
+        request_params["party"] = params.party
+
+    # Remove None values
+    request_params = {k: v for k, v in request_params.items() if v is not None}
+
+    try:
+        result = await make_api_request("/persons", request_params)
+        
+        if params.response_format == ResponseFormat.JSON:
+            return truncate_response(json.dumps(result, indent=2))
+        
+        # Format as markdown
+        if result.get("status") == "error":
+            return f"# API Error\n\n{result.get('message', 'Unknown error')}\n\n**Endpoint:** {result.get('endpoint', 'N/A')}"
+
+        # Format actual data from OpenParlData API
+        lines = ["# Parliamentarians Search Results\n"]
+
+        if isinstance(result, dict) and "data" in result:
+            items = result["data"]
+            meta = result.get("meta", {})
+            total = meta.get("total_records", len(items))
+
+            if not items:
+                return "# No Results\n\nNo parliamentarians found matching your criteria."
+
+            for person in items:
+                lines.append(f"## {person.get('firstname', '')} {person.get('lastname', '')}")
+                if person.get('party'):
+                    lines.append(f"**Party:** {person['party']}")
+                if person.get('body_key'):
+                    lines.append(f"**Region:** {person['body_key']}")
+                if person.get('active') is not None:
+                    lines.append(f"**Status:** {'Active' if person['active'] else 'Inactive'}")
+                lines.append("\n---\n")
+
+            lines.append(f"\n**Showing {len(items)} of {total} results**")
+            if meta.get("has_more"):
+                lines.append(f"\nMore results available. Use offset={params.offset + params.limit}")
+
+        return truncate_response("\n".join(lines))
+        
+    except Exception as e:
+        return f"Error searching parliamentarians: {str(e)}"
+
+@mcp.tool(
+    name="openparldata_get_parliamentarian",
+    annotations={
+        "title": "Get Parliamentarian Details",
+        "readOnlyHint": True,
+        "destructiveHint": False,
+        "idempotentHint": True,
+        "openWorldHint": True
+    }
+)
+async def get_parliamentarian(params: GetParliamentarianInput) -> str:
+    """
+    Get detailed information about a specific parliamentarian.
+    
+    Returns comprehensive information including biographical data, party membership,
+    committee assignments, and optionally their voting history and submitted motions.
+    """
+    request_params = {
+        "include_votes": params.include_votes,
+        "include_motions": params.include_motions,
+        "lang": params.language.value
+    }
+    
+    try:
+        result = await make_api_request(f"/parliamentarians/{params.person_id}", request_params)
+        
+        if params.response_format == ResponseFormat.JSON:
+            return truncate_response(json.dumps(result, indent=2))
+        
+        if result.get("mock_data"):
+            return f"# OpenParlData API Status\n\n{result['message']}\n\n**Person ID:** {params.person_id}"
+        
+        # Format actual data when available
+        return truncate_response(format_parliamentarian_markdown(result))
+        
+    except Exception as e:
+        return f"Error getting parliamentarian details: {str(e)}"
+
+@mcp.tool(
+    name="openparldata_search_votes",
+    annotations={
+        "title": "Search Parliamentary Votes",
+        "readOnlyHint": True,
+        "destructiveHint": False,
+        "idempotentHint": True,
+        "openWorldHint": True
+    }
+)
+async def search_votes(params: SearchVotesInput) -> str:
+    """
+    Search for parliamentary votes across different levels of Swiss government.
+    
+    Returns vote records including titles, dates, results, and vote counts.
+    Can filter by date range, parliament, and vote type.
+    """
+    request_params = {
+        "search": params.query,
+        "date_from": params.date_from,
+        "date_to": params.date_to,
+        "limit": params.limit,
+        "offset": params.offset,
+        "sort_by": "-date"
+    }
+
+    request_params = {k: v for k, v in request_params.items() if v is not None}
+
+    try:
+        result = await make_api_request("/votings", request_params)
+        
+        if params.response_format == ResponseFormat.JSON:
+            return truncate_response(json.dumps(result, indent=2))
+
+        if result.get("status") == "error":
+            return f"# API Error\n\n{result.get('message', 'Unknown error')}\n\n**Endpoint:** {result.get('endpoint', 'N/A')}"
+
+        lines = ["# Parliamentary Votes Search Results\n"]
+
+        if isinstance(result, dict) and "data" in result:
+            items = result["data"]
+            meta = result.get("meta", {})
+            total = meta.get("total_records", len(items))
+
+            if not items:
+                return "# No Results\n\nNo votes found matching your criteria."
+
+            for voting in items:
+                # Handle multilingual title
+                title_obj = voting.get('title', {})
+                if isinstance(title_obj, dict):
+                    title = title_obj.get('de') or title_obj.get('fr') or title_obj.get('it') or title_obj.get('en', 'Untitled Vote')
+                else:
+                    title = title_obj or 'Untitled Vote'
+
+                lines.append(f"## {title}")
+                if voting.get('date'):
+                    lines.append(f"**Date:** {voting['date']}")
+                if voting.get('body_key'):
+                    lines.append(f"**Parliament:** {voting['body_key']}")
+                if voting.get('results_yes') is not None:
+                    lines.append(f"**Yes:** {voting.get('results_yes', 0)} | **No:** {voting.get('results_no', 0)} | **Abstentions:** {voting.get('results_abstention', 0)}")
+
+                # Show affair title if available
+                affair_title_obj = voting.get('affair_title', {})
+                if isinstance(affair_title_obj, dict):
+                    affair_title = affair_title_obj.get('de') or affair_title_obj.get('fr') or affair_title_obj.get('it') or affair_title_obj.get('en')
+                    if affair_title:
+                        lines.append(f"*Related to: {affair_title}*")
+
+                lines.append("\n---\n")
+
+            lines.append(f"\n**Showing {len(items)} of {total} results**")
+            if meta.get("has_more"):
+                lines.append(f"\nMore results available.")
+
+        return truncate_response("\n".join(lines))
+        
+    except Exception as e:
+        return f"Error searching votes: {str(e)}"
+
+@mcp.tool(
+    name="openparldata_get_vote_details",
+    annotations={
+        "title": "Get Vote Details",
+        "readOnlyHint": True,
+        "destructiveHint": False,
+        "idempotentHint": True,
+        "openWorldHint": True
+    }
+)
+async def get_vote_details(params: GetVoteDetailsInput) -> str:
+    """
+    Get detailed information about a specific parliamentary vote.
+    
+    Returns comprehensive vote information including the proposal text,
+    voting results, and optionally how each parliamentarian voted.
+    """
+    request_params = {
+        "include_individual": params.include_individual_votes,
+        "lang": params.language.value
+    }
+    
+    try:
+        result = await make_api_request(f"/votes/{params.vote_id}", request_params)
+        
+        if params.response_format == ResponseFormat.JSON:
+            return truncate_response(json.dumps(result, indent=2))
+        
+        if result.get("mock_data"):
+            return f"# OpenParlData API Status\n\n{result['message']}\n\n**Vote ID:** {params.vote_id}"
+        
+        return truncate_response(format_vote_markdown(result))
+        
+    except Exception as e:
+        return f"Error getting vote details: {str(e)}"
+
+@mcp.tool(
+    name="openparldata_search_motions",
+    annotations={
+        "title": "Search Parliamentary Motions",
+        "readOnlyHint": True,
+        "destructiveHint": False,
+        "idempotentHint": True,
+        "openWorldHint": True
+    }
+)
+async def search_motions(params: SearchMotionsInput) -> str:
+    """
+    Search for parliamentary motions, proposals, and initiatives.
+    
+    Returns motion records including titles, submitters, dates, status,
+    and motion text. Can filter by submitter, status, and date range.
+    """
+    request_params = {
+        "q": params.query,
+        "submitter_id": params.submitter_id,
+        "status": params.status,
+        "date_from": params.date_from,
+        "date_to": params.date_to,
+        "level": params.level.value if params.level else None,
+        "lang": params.language.value,
+        "limit": params.limit,
+        "offset": params.offset
+    }
+    
+    request_params = {k: v for k, v in request_params.items() if v is not None}
+    
+    try:
+        result = await make_api_request("/motions", request_params)
+        
+        if params.response_format == ResponseFormat.JSON:
+            return truncate_response(json.dumps(result, indent=2))
+        
+        if result.get("mock_data"):
+            return f"# OpenParlData API Status\n\n{result['message']}\n\n**Endpoint:** {result['endpoint']}"
+        
+        lines = ["# Parliamentary Motions Search Results\n"]
+        if result.get("data"):
+            for motion in result["data"]:
+                lines.append(format_motion_markdown(motion))
+                lines.append("\n---\n")
+        
+        return truncate_response("\n".join(lines))
+        
+    except Exception as e:
+        return f"Error searching motions: {str(e)}"
+
+@mcp.tool(
+    name="openparldata_search_debates",
+    annotations={
+        "title": "Search Parliamentary Debates",
+        "readOnlyHint": True,
+        "destructiveHint": False,
+        "idempotentHint": True,
+        "openWorldHint": True
+    }
+)
+async def search_debates(params: SearchDebatesInput) -> str:
+    """
+    Search parliamentary debate transcripts and proceedings.
+    
+    Returns debate records including speakers, topics, dates, and transcript excerpts.
+    Can search by content, speaker, date range, and topic.
+    """
+    request_params = {
+        "q": params.query,
+        "date_from": params.date_from,
+        "date_to": params.date_to,
+        "speaker_id": params.speaker_id,
+        "topic": params.topic,
+        "parliament_id": params.parliament_id,
+        "level": params.level.value if params.level else None,
+        "lang": params.language.value,
+        "limit": params.limit,
+        "offset": params.offset
+    }
+    
+    request_params = {k: v for k, v in request_params.items() if v is not None}
+    
+    try:
+        result = await make_api_request("/debates", request_params)
+        
+        if params.response_format == ResponseFormat.JSON:
+            return truncate_response(json.dumps(result, indent=2))
+        
+        if result.get("mock_data"):
+            return f"# OpenParlData API Status\n\n{result['message']}\n\n**Endpoint:** {result['endpoint']}"
+        
+        lines = ["# Parliamentary Debates Search Results\n"]
+        if result.get("data"):
+            for debate in result["data"]:
+                lines.extend([
+                    f"## {debate.get('title', 'Debate')}",
+                    f"**Date:** {format_date(debate.get('date', ''))}",
+                    f"**Parliament:** {debate.get('parliament_name', 'N/A')}",
+                    f"**Topic:** {debate.get('topic', 'N/A')}",
+                ])
+                
+                if debate.get('speakers'):
+                    lines.append("\n### Speakers")
+                    for speaker in debate['speakers'][:5]:
+                        lines.append(f"- {speaker}")
+                
+                if debate.get('excerpt'):
+                    lines.extend(["\n### Excerpt", debate['excerpt'][:500] + "..."])
+                
+                lines.append("\n---\n")
+        
+        return truncate_response("\n".join(lines))
+        
+    except Exception as e:
+        return f"Error searching debates: {str(e)}"
+
+# Main execution
+if __name__ == "__main__":
+    import asyncio
+    asyncio.run(mcp.run())

mcp/requirements.txt

@@ -0,0 +1,14 @@
+# OpenParlData MCP Server Requirements
+# Python 3.8+ required
+
+# Core MCP dependencies
+mcp>=0.1.0
+
+# HTTP client for API calls
+httpx>=0.24.0
+
+# Data validation
+pydantic>=2.0.0
+
+# Optional: For enhanced async support
+anyio>=3.0.0

mcp_integration.py

@@ -0,0 +1,276 @@
+"""
+MCP Integration for OpenParlData
+Provides a wrapper for connecting to the OpenParlData MCP server
+and executing tools from the Gradio app.
+"""
+
+import os
+import sys
+import json
+import asyncio
+from typing import Optional, Dict, Any, List
+from pathlib import Path
+
+# Add mcp directory to path
+mcp_dir = Path(__file__).parent / "mcp"
+sys.path.insert(0, str(mcp_dir))
+
+from mcp.client.session import ClientSession
+from mcp.client.stdio import stdio_client, StdioServerParameters
+
+
+class OpenParlDataClient:
+    """Client for interacting with OpenParlData MCP server."""
+
+    def __init__(self):
+        self.session: Optional[ClientSession] = None
+        self.available_tools: List[Dict[str, Any]] = []
+
+    async def connect(self):
+        """Connect to the MCP server."""
+        # Get the path to the MCP server script
+        server_script = Path(__file__).parent / "mcp" / "openparldata_mcp.py"
+
+        if not server_script.exists():
+            raise FileNotFoundError(f"MCP server script not found at {server_script}")
+
+        # Server parameters for stdio connection
+        server_params = StdioServerParameters(
+            command=sys.executable,  # Python interpreter
+            args=[str(server_script)],
+            env=None
+        )
+
+        # Create stdio client context
+        self.stdio_context = stdio_client(server_params)
+        read, write = await self.stdio_context.__aenter__()
+
+        # Create session
+        self.session = ClientSession(read, write)
+        await self.session.__aenter__()
+
+        # Initialize and get available tools
+        await self.session.initialize()
+
+        # List available tools
+        tools_result = await self.session.list_tools()
+        self.available_tools = [
+            {
+                "name": tool.name,
+                "description": tool.description,
+                "input_schema": tool.inputSchema
+            }
+            for tool in tools_result.tools
+        ]
+
+        return self.available_tools
+
+    async def disconnect(self):
+        """Disconnect from the MCP server."""
+        if self.session:
+            await self.session.__aexit__(None, None, None)
+        if hasattr(self, 'stdio_context'):
+            await self.stdio_context.__aexit__(None, None, None)
+
+    async def call_tool(self, tool_name: str, arguments: Dict[str, Any]) -> str:
+        """
+        Call an MCP tool with given arguments.
+
+        Args:
+            tool_name: Name of the tool to call
+            arguments: Dictionary of arguments for the tool
+
+        Returns:
+            Tool response as string
+        """
+        if not self.session:
+            raise RuntimeError("Not connected to MCP server. Call connect() first.")
+
+        # Wrap arguments in 'params' key as expected by MCP server
+        tool_arguments = {"params": arguments}
+
+        # Call the tool
+        result = await self.session.call_tool(tool_name, arguments=tool_arguments)
+
+        # Extract text content from result
+        if result.content:
+            # MCP returns list of content blocks
+            text_parts = []
+            for content in result.content:
+                if hasattr(content, 'text'):
+                    text_parts.append(content.text)
+                elif isinstance(content, dict) and 'text' in content:
+                    text_parts.append(content['text'])
+            return "\n".join(text_parts)
+
+        return "No response from tool"
+
+    def get_tool_info(self) -> List[Dict[str, Any]]:
+        """Get information about available tools."""
+        return self.available_tools
+
+
+# Convenience functions for common operations
+
+async def search_parliamentarians(
+    query: Optional[str] = None,
+    canton: Optional[str] = None,
+    party: Optional[str] = None,
+    language: str = "en",
+    limit: int = 20,
+    show_debug: bool = False
+) -> tuple[str, Optional[str]]:
+    """
+    Search for parliamentarians.
+
+    Returns:
+        Tuple of (response_text, debug_info)
+    """
+    client = OpenParlDataClient()
+
+    try:
+        await client.connect()
+
+        arguments = {
+            "language": language,
+            "limit": limit,
+            "response_format": "markdown"
+        }
+
+        if query:
+            arguments["query"] = query
+        if canton:
+            arguments["canton"] = canton
+        if party:
+            arguments["party"] = party
+
+        debug_info = None
+        if show_debug:
+            debug_info = f"**Tool:** openparldata_search_parliamentarians\n**Arguments:** ```json\n{json.dumps(arguments, indent=2)}\n```"
+
+        response = await client.call_tool("openparldata_search_parliamentarians", arguments)
+
+        return response, debug_info
+
+    finally:
+        await client.disconnect()
+
+
+async def search_votes(
+    query: Optional[str] = None,
+    date_from: Optional[str] = None,
+    date_to: Optional[str] = None,
+    language: str = "en",
+    limit: int = 20,
+    show_debug: bool = False
+) -> tuple[str, Optional[str]]:
+    """
+    Search for parliamentary votes.
+
+    Returns:
+        Tuple of (response_text, debug_info)
+    """
+    client = OpenParlDataClient()
+
+    try:
+        await client.connect()
+
+        arguments = {
+            "language": language,
+            "limit": limit,
+            "response_format": "markdown"
+        }
+
+        if query:
+            arguments["query"] = query
+        if date_from:
+            arguments["date_from"] = date_from
+        if date_to:
+            arguments["date_to"] = date_to
+
+        debug_info = None
+        if show_debug:
+            debug_info = f"**Tool:** openparldata_search_votes\n**Arguments:** ```json\n{json.dumps(arguments, indent=2)}\n```"
+
+        response = await client.call_tool("openparldata_search_votes", arguments)
+
+        return response, debug_info
+
+    finally:
+        await client.disconnect()
+
+
+async def search_motions(
+    query: Optional[str] = None,
+    status: Optional[str] = None,
+    language: str = "en",
+    limit: int = 20,
+    show_debug: bool = False
+) -> tuple[str, Optional[str]]:
+    """
+    Search for motions and proposals.
+
+    Returns:
+        Tuple of (response_text, debug_info)
+    """
+    client = OpenParlDataClient()
+
+    try:
+        await client.connect()
+
+        arguments = {
+            "language": language,
+            "limit": limit,
+            "response_format": "markdown"
+        }
+
+        if query:
+            arguments["query"] = query
+        if status:
+            arguments["status"] = status
+
+        debug_info = None
+        if show_debug:
+            debug_info = f"**Tool:** openparldata_search_motions\n**Arguments:** ```json\n{json.dumps(arguments, indent=2)}\n```"
+
+        response = await client.call_tool("openparldata_search_motions", arguments)
+
+        return response, debug_info
+
+    finally:
+        await client.disconnect()
+
+
+async def execute_mcp_query(
+    user_query: str,
+    tool_name: str,
+    arguments: Dict[str, Any],
+    show_debug: bool = False
+) -> tuple[str, Optional[str]]:
+    """
+    Execute any MCP tool query.
+
+    Args:
+        user_query: The original user question (for context)
+        tool_name: Name of the MCP tool to call
+        arguments: Arguments for the tool
+        show_debug: Whether to return debug information
+
+    Returns:
+        Tuple of (response_text, debug_info)
+    """
+    client = OpenParlDataClient()
+
+    try:
+        await client.connect()
+
+        debug_info = None
+        if show_debug:
+            debug_info = f"**User Query:** {user_query}\n\n**Tool:** {tool_name}\n**Arguments:** ```json\n{json.dumps(arguments, indent=2)}\n```"
+
+        response = await client.call_tool(tool_name, arguments)
+
+        return response, debug_info
+
+    finally:
+        await client.disconnect()

requirements.txt

@@ -0,0 +1,23 @@
+# Gradio App Requirements
+# Python 3.11+ recommended
+
+# Gradio
+gradio>=5.49.1
+
+# Hugging Face
+huggingface-hub>=0.22.0
+
+# MCP Support
+mcp>=0.1.0
+
+# HTTP Client
+httpx>=0.24.0
+
+# Data Validation
+pydantic>=2.0.0
+
+# Async Support
+anyio>=3.0.0
+
+# Environment Variables
+python-dotenv>=1.0.0