paper_search
智能学术论文检索系统,支持多维度相关性评分、学术质量评估、语义搜索等高级功能,专为研究员和教授设计
Search 260M+ scholarly papers through OpenAlex, filtered by country, year and open-access status, with abstracts and citation counts.
LABSCO SUMMARY
Filtering by the country of the authors' institutions turns "find papers about X" into "compare what China and the US published on X in 2024", and the open-access flag tells you upfront whether you can actually read the result. An email address is the whole entry cost — OpenAlex charges nothing.
A search front-end for the OpenAlex catalogue. One call takes a query plus filters and returns papers with their metadata: authors, venue, DOI, citation count, institutional affiliations, subject classification, and the abstract reconstructed from OpenAlex's inverted index.
paper_searchcountry_code (institution country), year, and open_accesscited_by_count, publication_date or relevance_score, up to 50 results per callNode.js version 18 or higher, and a valid email address in OPENALEX_EMAIL — OpenAlex asks for one for rate limiting and contact. No API key; OpenAlex is free. Run the built build/index.js over stdio, or put Supergateway in front of it to serve SSE on a port.
Build from source — git clone https://github.com/guangxiangdebizi/Paper-MCP.git
USE CASES
Search the topic sorted by cited_by_count and pull the top 20 in one call — each result already carries the abstract, so you can triage without opening anything.
Run the same query twice with different country_code values and a fixed year, then compare volume and citations across the two sets.
Set open_access to true so every result is freely available, and check the APC information that comes back if you are considering publishing there yourself.
Counted once with only startup setup. Other versions, modes or optional credentials may expose a different list.
paper_search智能学术论文检索系统,支持多维度相关性评分、学术质量评估、语义搜索等高级功能,专为研究员和教授设计
BEFORE YOU INSTALL
1 tool when we connected. Author search, institution search, venue filtering, citation-network analysis and BibTeX export are planned, not available.
The documented client runs the server on your machine.
CONTEXT COST
Rated by the size of the one tool definition that rides along on every turn
INSTALLATION
You clone and build this one yourself.
git clone https://github.com/guangxiangdebizi/Paper-MCP.git
cd Paper-MCP
npm installCreate a .env file in the project root containing OPENALEX_EMAIL=<YOUR_OPENALEX_EMAIL>
npm run build{
"mcpServers": {
"paper-search-server": {
"command": "node",
"args": [
"<YOUR_PATH_TO_PAPER_MCP>/build/index.js"
],
"type": "stdio",
"disabled": false,
"autoApprove": [
"paper_search"
]
}
}
}