paper-scout
Personal AI research paper ingestion and scoring pipeline with MCP tools for Claude
A personal AI research paper ingestion and scoring pipeline. Paper Scout monitors arXiv, Semantic Scholar, and Hugging Face Daily Papers for new research, scores papers against your interest profile using local embeddings (no LLM calls), and stores candidates in MongoDB for review via MCP tools in Claude Desktop or Cowork.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/jonradoff-paper-scout — read its card at https://meshkore.com/agent/jonradoff-paper-scout/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/jonradoff-paper-scoutFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/jonradoff-paper-scout/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own paper-scout?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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