📄 paper-mcp
An MCP server built with FastMCP for paper, citation, author, and bibliography search. Run it in one command with uvx — no manual install needed.
✨ Features
Paper tools
| Tool | Returns |
|---|---|
paper_get_metadata |
Title, authors, abstract, DOI, arXiv ID, citation count, TL;DR, OA status, fields of study |
paper_get_pdf |
Best open-access PDF URL |
paper_get_fulltext |
Full text plus structured pages, sections, and extracted tables |
paper_get_citations |
Up to 100 papers that cite this one |
paper_get_references |
Up to 100 papers this one cites |
paper_search |
Filtered, deduplicated search across S2, OpenAlex, PubMed, and DBLP |
paper_get_publication_status |
Venue, publisher, version of record, and preprint status |
paper_get_bibtex |
BibTeX citation from Semantic Scholar or Crossref |
paper_get_similar |
Related-paper recommendations |
paper_batch_lookup |
Up to 500 paper IDs in one Semantic Scholar request |
doi_get_metadata |
DOI metadata merged from Crossref, Semantic Scholar, and Unpaywall |
Author and source tools
| Tool | Returns |
|---|---|
author_search |
Disambiguated Semantic Scholar author matches |
author_get_profile |
h-index, affiliations, paper and citation counts |
author_get_papers |
A researcher's bibliography |
openalex_search |
Broad OpenAlex work search with institutions and topics |
pubmed_search |
PubMed biomedical article summaries |
dblp_search |
Curated DBLP computer-science bibliography results |
paper_search accepts sources, year range, venue, author, publication type,
minimum citations, open-access-only, and relevance/year/citation sorting.
Full text uses arXiv HTML → structured open-access PDF extraction → Lightpanda → abstract.
Responses from repeated Semantic Scholar searches and batch lookups are cached in memory.
🚀 Quick Start
Run without installing (uvx)
# stdio mode — for Claude Desktop / most MCP clients
uvx paper-mcp
# SSE mode — for remote or multi-client setups
uvx paper-mcp --transport sse --port 8000
uvxdownloads, installs (in an isolated env), and runs the package — zero setup.
Install permanently
uv tool install paper-mcp
paper-mcp # now available globally
paper-mcp --transport sse
Local development
git clone https://github.com/imnotdev25/paper-search
cd paper-search
uv sync # install all deps from pyproject.toml
uv run paper-mcp # run directly
uv run paper-mcp --transport sse
🖥 Claude Desktop Config
Add to claude_desktop_config.json:
{
"mcpServers": {
"papers": {
"command": "uvx",
"args": ["paper-mcp"]
}
}
}
No Python paths, no venv activation — uvx handles everything.
🌐 Browser Fallback (gomcp / Lightpanda)
For JS-rendered publisher pages, the server automatically starts a Lightpanda headless browser via gomcp.
One-time setup:
# Download gomcp binary from GitHub releases:
# https://github.com/lightpanda-io/gomcp/releases
# Then download the Lightpanda browser binary:
gomcp download
If gomcp is not installed, the server still works — browser-dependent
paths fall back to abstract/metadata gracefully.
🏗 Architecture
Claude (LLM)
│ MCP (stdio or SSE)
▼
paper-mcp [FastMCP, Python]
│
├── Semantic Scholar API ── metadata, citations, references
├── arXiv API + HTML ── preprint info + full text
├── Crossref + Unpaywall ── DOI metadata, BibTeX, OA PDFs
├── OpenAlex / PubMed / DBLP ── corpus-specific search
└── gomcp SSE ───────────── Lightpanda browser (JS fallback)
│ CDP
└── Lightpanda Browser (headless)
📦 Publishing to PyPI
# Build
uv build
# Publish (needs PyPI token)
uv publish --token $PYPI_TOKEN
Once on PyPI, anyone can run it with uvx paper-mcp.
⚙️ CLI Options
usage: paper-mcp [-h] [--transport {stdio,sse}] [--port PORT] [--host HOST]
options:
--transport stdio (default) or sse
--port SSE port (default: 8000)
--host SSE host (default: 127.0.0.1)
🔑 Notes
- Set
S2_API_KEYfor authenticated Semantic Scholar requests. - Set
UNPAYWALL_EMAILto a real contact address to enable Unpaywall. Requests are skipped when it is unset; no placeholder identity is sent. - Optionally set
OPENALEX_EMAILfor the OpenAlex polite pool. PAPER_CACHE_TTLcontrols the in-memory cache in seconds (default3600;0disables it).- PDF extraction is limited to open PDFs up to 25 MB and 50,000 extracted characters. Paywalled PDFs still require institutional access.
📁 Project Structure
paper-mcp/
├── pyproject.toml ← packaging, entry point, deps
├── README.md
├── src/
└── paper_mcp/
├── __init__.py
└── server.py ← FastMCP tools + main()
└── tests/
└── test_server.py ← focused HTTP, PDF, cache, and config tests
Metadata
Release files for paper-mcp 0.7.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| paper_mcp-0.7.0.tar.gz | 105.3 kB | Without provenance | Details for paper_mcp-0.7.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| paper_mcp-0.7.0-py3-none-any.whl | Python 3 | none | any | Details for paper_mcp-0.7.0-py3-none-any.whl |
Total release size: 126.3 kB
Release files / paper_mcp-0.7.0.tar.gz
| Download URL | paper_mcp-0.7.0.tar.gz |
|---|---|
| Size | 105.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
9c962ddea668e8460fbca14523c2b022086e484872ac994baf6af8b4a17c446f
|
|
BLAKE2b-256 checksum How to use checksums |
d0a404020aee3d943385716edb18f0adb5d3e6aa9b0593c26ac5bf76583dd386
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.11.8 {"installer":{"name":"uv","version":"0.11.8","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
|
Release files / paper_mcp-0.7.0-py3-none-any.whl
| Download URL | paper_mcp-0.7.0-py3-none-any.whl |
|---|---|
| Size | 21.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
f1c5a8aad1e8ee14876ab6e00e5a65c6a402b99c9d0232d99e2230c53578ea9c
|
|
BLAKE2b-256 checksum How to use checksums |
982c4da8f384e9c40efafd25045e5c6bdab85c9aa3767f8082ca61b22be978be
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.11.8 {"installer":{"name":"uv","version":"0.11.8","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
|
Security for paper-mcp 0.7.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.