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mhiqrambg/semantic-scholar-mcp

MCP server for Semantic Scholar API with 14 tools: paper search (relevance + bulk), authors, citations, recommendations & datasets. Supports stdio and streamable-http/Docker.

⭐ 3 stars
⑂ 0 forks
Python
momentum ▲ 5.0
created 2026-09-03
on radar since 2026-09-07
academic-graphai-agentsdockerllm-toolsmcpmcp-serverpaperresearchsemantic-scholarsemantic-scholar-api
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About semantic-scholar-mcp

MCP server for the Semantic Scholar Academic Graph API — direct HTTP API (no third-party SDK), supports stdio (Claude Desktop, Cursor, etc.) and streamable-http (self-host / Docker).

Tool Description Tutorial -------------------- --------------------------------------------------------------------------------- ---------------- searchpapers Search papers by keyword (filter by year, field of study, open access PDF) relevance search searchpapersbulk Bulk search — resource-light, token pagination (recommended for large harvests) Step 1 getpaperdetails Details for one paper — accepts paperId, DOI:10.x/x, arXiv:2106.15928, CorpusId:123, URL Example getpapersbatch Details for up to 500 papers in one request batch tips getauthordetails Author profile (affiliation, h-index, paperCount) Step 3 (single) getauthorsbatch Batch authors — up to 1000 authors at once Step 3 getauthorpapers List papers by an author — getcitations Papers that cite a given paper — getreferences Papers cited by a given paper — recommendpapers Paper recommendations (single seed or positive/negative lists) Step 2 listreleases List dataset release dates Datasets getrelease List datasets in a release (latest or YYYY-MM-DD) Datasets getdataset Presigned download links for a dataset (requires API key) Datasets getdatasetdiffs Incremental diffs between releases Datasets

- searchpapers pagination via next/offset; searchpapersbulk via token (continue with token from the previous response). - All queries support tutorial operators: "exact phrase", , +, -, , ~N, ~.

From the project README.

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