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.
pip install mcp-scholarlyNo compatibility data collected yet for this library.
Verified import paths — ran on the pinned version, not inferred.
Basic server startup. The SCHOLARLY_API_KEY is required only for some endpoints.
Use an MCP client library like `mcp-client` or integrate with OpenAI/Anthropic via MCP adapters.
Update client code to call `search_papers` instead of `search`.
Replace `ARXIV_API_ENDPOINT` with `SCHOLARLY_ARXIV_ENDPOINT`.
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