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13 lines (13 loc) · 982 Bytes
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{
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"name": "io.github.FoundryNet/academic-intel-mcp",
"title": "Academic Research Intelligence MCP",
"description": "Search academic papers, citations, and authors, and find related work with semantic similarity — across OpenAlex, arXiv, and PubMed — for literature reviews.",
"version": "1.0.0",
"homepage": "https://foundrynet.io",
"repository": { "url": "https://github.com/FoundryNet/academic-intel-mcp", "source": "github" },
"categories": ["research", "academic", "data", "science"],
"tags": ["research papers", "academic search", "citation analysis", "arXiv", "PubMed", "Semantic Scholar", "literature review"],
"keywords": ["research papers", "academic search", "citation analysis", "arXiv", "PubMed", "Semantic Scholar", "literature review"],
"remotes": [ { "type": "streamable-http", "url": "https://academic-intel-mcp-production.up.railway.app/mcp" } ]
}