{"library":"mcp-scholarly","type":"library","category":null,"description":"A Model Context Protocol (MCP) server for searching academic articles. Allows AI agents to query scholarly databases (e.g., arXiv, Semantic Scholar) and retrieve structured paper metadata. Current version 0.1.0, monthly releases expected.","language":"python","status":"active","version":"0.1.0","tags":["mcp","scholarly","academic","search"],"install":[{"cmd":"pip install mcp-scholarly","imports":["from mcp_scholarly import mcp_scholarly_server"]}],"homepage":null,"github":null,"docs":null,"changelog":null,"pypi":null,"npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null,"provenance":{"verified_status":"install_fail","verified_at":"Mon Jun 29","last_verified":"Mon Jun 29","next_check":"Thu Jul 09","install_tag":null}}