search

Instructions

Search Baidu and return formatted results.

Args:
    query: The search query string
    max_results: Maximum number of results to return (default: 6)
    deep_mode: Deep search the web content (default: False)
    ctx: MCP context for logging

Implementation Reference

• src/baidu_mcp_server/server.py:861-878 (handler)

  Primary MCP tool handler for 'search'. Registers the tool and executes Baidu search via BaiduSearcher, formats results as string for LLM.

  @mcp.tool()
  async def search(query: str, ctx: Context, max_results: int = 6, deep_mode: bool = False) -> str:
      """
      Search Baidu and return formatted results.
  
      Args:
          query: The search query string
          max_results: Maximum number of results to return (default: 6)
          deep_mode: Deep search the web content (default: False)
          ctx: MCP context for logging
      """
      try:
          results = await searcher.search(query, ctx, max_results, deep_mode)
          return searcher.format_results_for_llm(results)
      except Exception as e:
          traceback.print_exc(file=sys.stderr)
          return f"An error occurred while searching: {str(e)}"

• src/baidu_mcp_server/server.py:98-104 (schema)

  Dataclass schema for individual search results returned by the internal search logic.

  @dataclass
  class SearchResult:
      title: str
      link: str
      snippet: str
      position: int

• src/baidu_mcp_server/server.py:709-720 (helper)

  Core helper function in BaiduSearcher class that invokes the search performance logic.

  @handle_errors
  async def search(
      self, query: str, ctx: Context, max_results: int = 10, deep_mode: bool = False, max_retries: int = 2,
  ) -> List[SearchResult]:
      return await self._perform_search(
          query=query,
          max_results=max_results,
          deep_mode=deep_mode,
          max_retries=max_retries,
          ctx=ctx,
      )

• src/baidu_mcp_server/server.py:632-707 (helper)

  Main helper implementing the search logic: fetches Baidu pages using browser or curl_cffi, parses results, optionally deep-fetches content.

  async def _perform_search(
      self,
      query: str,
      max_results: int,
      deep_mode: bool,
      max_retries: int,
      ctx: Optional[Context] = None,
  ) -> List[SearchResult]:
      await self._log_ctx(ctx, "info", f"Searching Baidu for: {query}")
  
      params = {"word": query}
      results: List[Dict[str, Any]] = []
      seen_urls: Set[str] = set()
      page = 0
  
      user_agent = self.HEADERS.get("User-Agent")
      extra_headers = {
          key: value
          for key, value in self.HEADERS.items()
          if key.lower() != "user-agent"
      }
      _, browser_context = await _ensure_browser(
          user_agent=user_agent, extra_headers=extra_headers or None
      )
  
      if browser_context is None:
          if CurlAsyncSession is None:
              await self._log_ctx(
                  ctx,
                  "error",
                  "Playwright is unavailable and curl_cffi is not installed; unable to execute search.",
              )
              return []
  
          await self._log_ctx(
              ctx,
              "warning",
              "Playwright unavailable; using curl_cffi fallback HTTP client.",
          )
  
      while len(results) < max_results:
          params["pn"] = page * 10
          page += 1
  
          html = await self._request_with_retries(browser_context, params, max_retries)
          if html is None:
              await self._log_ctx(
                  ctx, "error", "Failed to fetch search results from Baidu"
              )
              break
  
          page_results = self._parse_search_page(html, seen_urls)
          if not page_results:
              break
  
          results.extend(page_results)
  
      limited_results = results[:max_results]
      if deep_mode and limited_results:
          tasks = [self.process_result(result, idx + 1) for idx, result in enumerate(limited_results)]
          enriched_results = await asyncio.gather(*tasks, return_exceptions=True)
          search_results: List[SearchResult] = []
          for item in enriched_results:
              if isinstance(item, Exception):
                  logger.error("Deep fetch failed for a result: %s", item, exc_info=True)
                  continue
              if isinstance(item, SearchResult):
                  search_results.append(item)
      else:
          search_results = [
              self._create_search_result(result, idx + 1)
              for idx, result in enumerate(limited_results)
          ]
  
      await self._log_ctx(ctx, "info", f"Successfully found {len(search_results)} results")
      return search_results