Paper Search MCP

Instructions

Implementation Reference

• paper_search_mcp/server.py:919-929 (handler)

  The wrapper function that exposes 'search_dblp' as an MCP tool, invoking the DBLP searcher.

  async def search_dblp(query: str, max_results: int = 10) -> List[Dict]:
      """Search academic papers from dblp computer science bibliography.
  
      Args:
          query: Search query string (e.g., 'machine learning').
          max_results: Maximum number of papers to return (default: 10).
      Returns:
          List of paper metadata in dictionary format.
      """
      papers = await async_search(dblp_searcher, query, max_results)
      return papers if papers else []

• paper_search_mcp/academic_platforms/dblp.py:17-17 (handler)

  The core implementation class for searching DBLP, which performs the actual network requests and parsing.

  class DBLPSearcher(PaperSource):