adamamer20-paper-search-mcp-openai
Server Details
Search and download academic papers from arXiv, PubMed, bioRxiv, medRxiv, Google Scholar, Semantic…
- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- adamamer20/paper-search-mcp-openai
- GitHub Stars
- 14
- Server Listing
- Paper Search MCP
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Tool Definition Quality
Average 2.6/5 across 25 of 25 tools scored. Lowest: 2/5.
Most tools are clearly distinct by source and action (e.g., download_arxiv vs. search_arxiv), but there is some overlap: 'search' aggregates across sources, which could be confused with individual search tools like search_arxiv, and 'fetch' is ambiguous as it fetches content for a search result without specifying source, potentially overlapping with download/read tools. Descriptions help clarify, but minor confusion is possible.
Tool names follow a highly consistent verb_noun pattern throughout, with verbs like 'download', 'read', 'search', and 'get' paired with source-specific nouns (e.g., arxiv, biorxiv). All use snake_case uniformly, and the pattern is predictable across all 25 tools, making them easy to parse and understand.
With 25 tools, the count is borderline high for a paper search server, as it includes many source-specific variants for download, read, and search actions. While this provides comprehensive coverage, it feels heavy and could be streamlined (e.g., by parameterizing sources). It's not extreme, but it approaches the upper limit of reasonable scope.
The tool set offers complete coverage for the domain of academic paper search and retrieval: it includes search, download, and read operations across multiple sources (arXiv, bioRxiv, CrossRef, etc.), with no obvious gaps. The 'fetch' tool adds content retrieval, and 'get_crossref_paper_by_doi' provides specific lookup, ensuring agents can handle full workflows without dead ends.
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{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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