{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_6re8zjn7rm5k","handle":"iflow-mcp-ilyagusev-academia-mcp","url":"https://wellknown.network/agents/iflow-mcp-ilyagusev-academia-mcp","links":{"self":"https://wellknown.network/agents/iflow-mcp-ilyagusev-academia-mcp/record.json","html":"https://wellknown.network/agents/iflow-mcp-ilyagusev-academia-mcp","markdown":"https://wellknown.network/agents/iflow-mcp-ilyagusev-academia-mcp/record.md","api":"https://wellknown.network/api/v1/agents/iflow-mcp-ilyagusev-academia-mcp","status":"https://wellknown.network/api/v1/agents/iflow-mcp-ilyagusev-academia-mcp/status","claim":"https://wellknown.network/agents/iflow-mcp-ilyagusev-academia-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/iflow-mcp-ilyagusev-academia-mcp/claim.json","badge":"https://wellknown.network/agents/iflow-mcp-ilyagusev-academia-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/iflow-mcp-ilyagusev-academia-mcp/history","tools":"https://wellknown.network/api/v1/agents/iflow-mcp-ilyagusev-academia-mcp/tools"},"ard":{"identifier":"urn:air::server:iflow-mcp-ilyagusev-academia-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"iflow-mcp_ilyagusev-academia_mcp","summary":"MCP server that provides different tools to search for scientific publications","description":"# Academia MCP\n\n[![PyPI](https://img.shields.io/pypi/v/academia-mcp?label=PyPI%20package)](https://pypi.org/project/academia-mcp/)\n[![CI](https://github.com/IlyaGusev/academia_mcp/actions/workflows/python.yml/badge.svg)](https://github.com/IlyaGusev/academia_mcp/actions/workflows/python.yml)\n[![License](https://img.shields.io/github/license/IlyaGusev/academia_mcp)](LICENSE)\n[![smithery badge](https://smithery.ai/badge/@IlyaGusev/academia_mcp)](https://smithery.ai/server/@IlyaGusev/academia_mcp)\n[![Verified on MseeP](https://mseep.ai/badge.svg)](https://mseep.ai/app/e818878b-c3a6-4b3d-a5b4-e54dcd1f1fed)\n\nMCP server with tools to search, fetch, analyze, and report on scientific papers and datasets.\n\n### Features\n- ArXiv search and download\n- ACL Anthology search\n- Hugging Face datasets search\n- Semantic Scholar citations and references\n- Web search via Exa, Brave, or Tavily\n- Web page crawler, LaTeX compilation, PDF reading\n- Optional LLM-powered tools for document QA and research proposal workflows\n\n### Requirements\n- Python 3.12+\n\n### Install\n- Using pip (end users):\n```bash\npip3 install academia-mcp\n```\n\n- For development (uv + Makefile):\n```bash\nuv venv .venv\nmake install\n```\n\n### Quickstart\n- Run over HTTP (default transport):\n```bash\npython -m academia_mcp --transport streamable-http\n# OR\nuv run -m academia_mcp --transport streamable-http\n```\n\n- Run over stdio (for local MCP clients like Claude Desktop):\n```bash\npython -m academia_mcp --transport stdio\n# OR\nuv run -m academia_mcp --transport stdio\n```\n\nNotes:\n- Transports: `stdio`, `sse`, `streamable-http`.\n- `host`/`port` are used for HTTP transports; ignored for `stdio`. Default port is `5056` (or `PORT`).\n\n### Authentication\n\nAcademia MCP supports optional token-based authentication for HTTP transports (`streamable-http` and `sse`). Authentication is disabled by default to maintain backward compatibility.\n\n#### Enabling Authentication\n\nSet the `ENABLE_AUTH` environment variable to `true`:\n\n```bash\nexport ENA…","publisher":null,"homepage":"https://github.com/IlyaGusev/academia_mcp","repository":"https://github.com/IlyaGusev/academia_mcp","version":"1.13.6","license":null,"protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:iflow-mcp_ilyagusev-academia_mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi"}},"derived":{"capabilities":[{"slug":"data.web-search","name":"Web Search","confidence":1,"provenance":"derived"},{"slug":"research.academic","name":"Academic Research","confidence":1,"provenance":"derived"},{"slug":"security.identity","name":"Identity & Access","confidence":0.825,"provenance":"derived"}],"categories":["data","research","security"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"iflow-mcp_ilyagusev-academia_mcp","registry":"pypi","observedAt":"2026-10-22T02:28:41.556Z","publishedAt":"2026-02-09T14:46:29.321506Z","latestVersion":"1.13.6"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"iflow-mcp_ilyagusev-academia_mcp","url":"https://pypi.org/project/iflow-mcp_ilyagusev-academia_mcp/","firstSeenAt":"2026-09-09T19:23:49.720Z","fetchedAt":"2026-10-22T02:27:20.463Z","normalizedAt":"2026-10-22T02:27:20.463Z"}]},"firstSeenAt":"2026-09-09T19:23:49.720Z","updatedAt":"2026-10-22T02:28:41.556Z"}