PaperPilot
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@PaperPilotFind recent papers on protein folding with diffusion models and cite them."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
PaperPilot ∢
Research superpowers for AI agents. One MCP server gives any agent instant arXiv + PubMed access with citation-grade extraction.
No scraping. No ads. Wraps the free arXiv and NCBI E-utilities APIs — zero backend risk, zero per-call cost.
Live verification
Tested against both upstream APIs (real responses, this machine):
search_arxiv("CRISPR gene editing", 2)
→ "Primer on the Gene Ontology", Gaudet et al. — https://arxiv.org/pdf/1602.01876v1
search_pubmed("sickle cell CRISPR", 1)
→ JCO Oncol Pract. 2026 Aug 19:OP2600479 — "Translating CRISPR to Practice in the Clinic…"Related MCP server: Research Paper Ingestion MCP Server
Install (30 seconds)
Requires Python ≥ 3.10 and mcp>=1.2,<1.10 (1.9.4 verified).
python3.11 -m venv .venv && . .venv/bin/activate
pip install "mcp>=1.2,<1.10"Add to your Claude / Hermes / Cursor / Codex MCP config:
{
"mcpServers": {
"paperpilot": {
"command": "/path/to/.venv/bin/python",
"args": ["/path/to/paperpilot/server.py"]
}
}
}Then ask your agent: "Find recent papers on protein folding with diffusion models and cite them." It calls PaperPilot.
Tools
Tool | What it does |
| Title, authors, PDF link, summary per paper |
| Full citations + abstracts via E-utilities |
| Clean citation string + PDF for one arXiv id |
Pricing
Free $0 — 5 calls/day, both sources (get started)
Pro $99/mo — unlimited calls, BibTeX export, priority cache
Team $199/mo — 10 agent seats, batch search, white-label API
See landing/index.html for the full sell page. Open a GitHub issue or discussion for Pro/Team provisioning.
Why agent-native?
In the agentic era discovery happens through agents. Whoever the agent reaches for wins. PaperPilot is built to be the tool agents reach for when they need research.
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