{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_7tyvncwnpnpp","handle":"iflow-mcp-paperpal","url":"https://wellknown.network/agents/iflow-mcp-paperpal","links":{"self":"https://wellknown.network/agents/iflow-mcp-paperpal/record.json","html":"https://wellknown.network/agents/iflow-mcp-paperpal","markdown":"https://wellknown.network/agents/iflow-mcp-paperpal/record.md","api":"https://wellknown.network/api/v1/agents/iflow-mcp-paperpal","status":"https://wellknown.network/api/v1/agents/iflow-mcp-paperpal/status","claim":"https://wellknown.network/agents/iflow-mcp-paperpal/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/iflow-mcp-paperpal/claim.json","badge":"https://wellknown.network/agents/iflow-mcp-paperpal/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/iflow-mcp-paperpal/history","tools":"https://wellknown.network/api/v1/agents/iflow-mcp-paperpal/tools"},"ard":{"identifier":"urn:air::server:iflow-mcp-paperpal","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"iflow-mcp_paperpal","summary":"Paperpal is a tool that helps you write literature reviews for machine learning papers.","description":"🚨 Development has moved to https://github.com/milatechtransfer/paperpal\n\n# paperpal\n\nMCP Extension to aid you in searching and writing literature reviews\n\n> Check out this [conversation with Claude](https://claude.ai/share/0572fbd9-3ba2-4143-9f7f-5cae205c6d0d) to see what it can do\n\n## How it works\n\n`paperpal` gives your LLMs access to [arxiv](https://www.arxiv.org) and [Hugging Face papers](https://huggingface.co/papers).\nYou can then have a natural conversation with your favourite LLMs (e.g. Claude) and have it guide you.\n\nYou can:\n\n* Discuss papers\n* Look for new papers\n* Organize ideas for liteature reviews\n* etc.\n\nOf course, this tool is as good as the sum of its parts. LLMs can still hallucinate, and semantic search is never perfect.\n\n## Quickstart\n\nThere are many different ways with which you can interact with an MCP server.\n\n### Claude Desktop App\n\n> If this is your first time using an MCP server for Claude Desktop App, see https://modelcontextprotocol.io/quickstart/user\n\nFirst, clone this repository locally:\n\n    git clone https://github.com/jerpint/paperpal\n\nNext, add the extension to your app. Open your configuration file (on macOS this should be `~/Library/Application Support/Claude/claude_desktop_config.json`) and and add the following to the extension:\n\nFor example on MacOS:\n\n```python\n{\n  \"mcpServers\": {\n    \"paperpal\": {\n      \"command\": \"uv\",\n      \"args\": [\n        \"--directory\",\n        \"/Users/<username>/paperpal\",\n        \"run\",\n        \"paperpal.py\"\n      ]\n    }\n  }\n}\n```\n\nRestart your Claude Desktop App and you should see it appear.\n\n### Cursor\n\n> If this is your first time using an MCP server for Cursor, see https://docs.cursor.com/context/model-context-protocol#remote-development\n\nFirst, clone this repository locally:\n\n    git clone https://github.com/jerpint/paperpal\n\nAdd this to the root of the project in a `.cursor/mcp.json` file:\n\n```\n{\n  \"mcpServers\": {\n    \"paperpal\": {\n      \"command\": \"/Users/jeremypinto/.cargo/bin/uv\",\n      \"arg…","publisher":null,"homepage":null,"repository":null,"version":"0.1.0","license":null,"protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:iflow-mcp_paperpal","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","summary":"pypi","version":"pypi","description":"pypi"}},"derived":{"capabilities":[{"slug":"dev.version-control","name":"Version Control","confidence":1,"provenance":"derived"},{"slug":"ai.model-access","name":"Model Access","confidence":0.905,"provenance":"derived"},{"slug":"research.academic","name":"Academic Research","confidence":0.768,"provenance":"derived"}],"categories":["ai","dev","research"],"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_paperpal","registry":"pypi","observedAt":"2026-09-15T19:23:28.662Z","publishedAt":"2025-11-05T10:05:52.764775Z","latestVersion":"0.1.0"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"iflow-mcp_paperpal","url":"https://pypi.org/project/iflow-mcp_paperpal/","firstSeenAt":"2026-09-09T20:24:54.010Z","fetchedAt":"2026-09-15T19:22:29.396Z","normalizedAt":"2026-09-15T19:22:29.396Z"}]},"firstSeenAt":"2026-09-09T20:24:54.010Z","updatedAt":"2026-09-15T19:23:28.662Z"}