| | import os |
| | import sys |
| | import json |
| |
|
| | import httpx |
| | from dotenv import load_dotenv |
| | from mcp.server.fastmcp import FastMCP |
| |
|
| | load_dotenv() |
| |
|
| |
|
| | |
| | server = FastMCP( |
| | "bocha-search-mcp", |
| | prompt=""" |
| | # Bocha Search MCP Server |
| | |
| | Bocha is a Chinese search engine for AI, This server provides tools for searching the web using Bocha Search API. |
| | It allows you to get enhanced search details from billions of web documents, including weather, news, wikis, healthcare, train tickets, images, and more. |
| | |
| | ## Available Tools |
| | |
| | ### 1. bocha_web_search |
| | Search with Bocha Web Search and get enhanced search details from billions of web documents, including page titles, urls, summaries, site names, site icons, publication dates, image links, and more. |
| | |
| | ### 2. bocha_ai_search |
| | Search with Bocha AI Search, recognizes the semantics of search terms and additionally returns structured modal cards with content from vertical domains. |
| | |
| | ## Output Format |
| | |
| | All search results will be formatted as text with clear sections for each |
| | result item, including: |
| | |
| | - Bocha Web search: Title, URL, Description, Published date and Site name |
| | - Bocha AI search: Title, URL, Description, Published date, Site name, and structured data card |
| | |
| | If the API key is missing or invalid, appropriate error messages will be returned. |
| | """, |
| | ) |
| |
|
| |
|
| | @server.tool() |
| | async def bocha_web_search( |
| | query: str, freshness: str = "noLimit", count: int = 10 |
| | ) -> str: |
| | """Search with Bocha Web Search and get enhanced search details from billions of web documents, |
| | including page titles, urls, summaries, site names, site icons, publication dates, image links, and more. |
| | |
| | Args: |
| | query: Search query (required) |
| | freshness: The time range for the search results. (Available options YYYY-MM-DD, YYYY-MM-DD..YYYY-MM-DD, noLimit, oneYear, oneMonth, oneWeek, oneDay. Default is noLimit) |
| | count: Number of results (1-50, default 10) |
| | """ |
| | |
| | boch_api_key = os.environ.get("BOCHA_API_KEY", "") |
| |
|
| | if not boch_api_key: |
| | return ( |
| | "Error: Bocha API key is not configured. Please set the " |
| | "BOCHA_API_KEY environment variable." |
| | ) |
| |
|
| | |
| | endpoint = "https://api.bochaai.com/v1/web-search?utm_source=bocha-mcp-local" |
| |
|
| | try: |
| | payload = { |
| | "query": query, |
| | "summary": True, |
| | "freshness": freshness, |
| | "count": count, |
| | } |
| |
|
| | headers = { |
| | "Authorization": f"Bearer {boch_api_key}", |
| | "Content-Type": "application/json", |
| | } |
| |
|
| | async with httpx.AsyncClient() as client: |
| | response = await client.post( |
| | endpoint, headers=headers, json=payload, timeout=10.0 |
| | ) |
| |
|
| | response.raise_for_status() |
| | resp = response.json() |
| | if "data" not in resp: |
| | return "Search error." |
| |
|
| | data = resp["data"] |
| |
|
| | if "webPages" not in data: |
| | return "No results found." |
| |
|
| | results = [] |
| | for result in data["webPages"]["value"]: |
| | results.append( |
| | f"Title: {result['name']}\n" |
| | f"URL: {result['url']}\n" |
| | f"Description: {result['summary']}\n" |
| | f"Published date: {result['datePublished']}\n" |
| | f"Site name: {result['siteName']}" |
| | ) |
| |
|
| | return "\n\n".join(results) |
| |
|
| | except httpx.HTTPStatusError as e: |
| | return f"Bocha Web Search API HTTP error occurred: {e.response.status_code} - {e.response.text}" |
| | except httpx.RequestError as e: |
| | return f"Error communicating with Bocha Web Search API: {str(e)}" |
| | except Exception as e: |
| | return f"Unexpected error: {str(e)}" |
| |
|
| |
|
| | @server.tool() |
| | async def bocha_ai_search( |
| | query: str, freshness: str = "noLimit", count: int = 10 |
| | ) -> str: |
| | """Search with Bocha AI Search, recognizes the semantics of search terms |
| | and additionally returns structured modal cards with content from vertical domains. |
| | |
| | Args: |
| | query: Search query (required) |
| | freshness: The time range for the search results. (Available options noLimit, oneYear, oneMonth, oneWeek, oneDay. Default is noLimit) |
| | count: Number of results (1-50, default 10) |
| | """ |
| | |
| | boch_api_key = os.environ.get("BOCHA_API_KEY", "") |
| |
|
| | if not boch_api_key: |
| | return ( |
| | "Error: Bocha API key is not configured. Please set the " |
| | "BOCHA_API_KEY environment variable." |
| | ) |
| |
|
| | |
| | endpoint = "https://api.bochaai.com/v1/ai-search?utm_source=bocha-mcp-local" |
| |
|
| | try: |
| | payload = { |
| | "query": query, |
| | "freshness": freshness, |
| | "count": count, |
| | "answer": False, |
| | "stream": False, |
| | } |
| |
|
| | headers = { |
| | "Authorization": f"Bearer {boch_api_key}", |
| | "Content-Type": "application/json", |
| | } |
| |
|
| | async with httpx.AsyncClient() as client: |
| | response = await client.post( |
| | endpoint, headers=headers, json=payload, timeout=10.0 |
| | ) |
| |
|
| | response.raise_for_status() |
| | response = response.json() |
| | results = [] |
| | if "messages" in response: |
| | for message in response["messages"]: |
| | content = {} |
| | try: |
| | content = json.loads(message["content"]) |
| | except (json.JSONDecodeError, TypeError): |
| | content = {} |
| |
|
| | |
| | if message["content_type"] == "webpage": |
| | if "value" in content: |
| | for item in content["value"]: |
| | results.append( |
| | f"Title: {item['name']}\n" |
| | f"URL: {item['url']}\n" |
| | f"Description: {item['summary']}\n" |
| | f"Published date: {item['datePublished']}\n" |
| | f"Site name: {item['siteName']}" |
| | ) |
| | elif ( |
| | message["content_type"] != "image" |
| | and message["content"] != "{}" |
| | ): |
| | results.append(message["content"]) |
| |
|
| | if not results: |
| | return "No results found." |
| |
|
| | return "\n\n".join(results) |
| |
|
| | except httpx.HTTPStatusError as e: |
| | return f"Bocha AI Search API HTTP error occurred: {e.response.status_code} - {e.response.text}" |
| | except httpx.RequestError as e: |
| | return f"Error communicating with Bocha AI Search API: {str(e)}" |
| | except Exception as e: |
| | return f"Unexpected error: {str(e)}" |
| |
|
| |
|
| | def main(): |
| | """Initialize and run the MCP server.""" |
| |
|
| | |
| | if "BOCHA_API_KEY" not in os.environ: |
| | print( |
| | "Error: BOCHA_API_KEY environment variable is required", |
| | file=sys.stderr, |
| | ) |
| | print( |
| | "Get a Bocha API key from: " "https://open.bochaai.com", |
| | file=sys.stderr, |
| | ) |
| | sys.exit(1) |
| |
|
| | print("Starting Bocha Search MCP server...", file=sys.stderr) |
| |
|
| | server.run(transport="stdio") |
| |
|
| |
|
| | if __name__ == "__main__": |
| | main() |
| |
|
