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