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ELumya

mcp-openalex

by ELumya

mcp-openalex

MCP server for the OpenAlex scholarly database. Gives AI agents tools to search and retrieve academic works, authors, and institutions.

Requirements

Related MCP server: scholar-mcp

Installation

git clone https://github.com/ELumya/openalex-mcp.git
cd openalex-mcp
uv sync

Configuration

Copy the example env file and set your API key:

cp .env.example .env
# edit .env and set OPENALEX_API_KEY=your-key-here

Running

STDIO (default — for local MCP clients):

uv run fastmcp run src/server.py

HTTP transport:

MCP_TRANSPORT=http MCP_HOST=127.0.0.1 MCP_PORT=8000 uv run fastmcp run src/server.py

MCP Tools

Tool

Description

search_works

Search works with filters (institution, year, date range, type, peer-reviewed)

semantic_search_works

Find works similar to a text using AI semantic search (matches by meaning)

fetch_work

Fetch full work metadata by OpenAlex ID or DOI — optionally extract PDF or request an LLM summary

search_authors

Search author profiles by name or ORCID

fetch_author

Fetch full author profile by OpenAlex ID or ORCID

get_author_works

List all publications by a specific author

search_institutions

Search institutions by name, country, or type

fetch_institution

Fetch full institution profile by OpenAlex ID or ROR

Architecture

See ARCHITECTURE.md for system overview, module dependency graph, and tool flow diagrams.

TODOs

  • Add tests

  • Add CI/CD

  • Use cache for high rate requests

  • Scan code base for dead code

  • Add mermaid documentation

  • Unify concepts names (ie. Articles/Works)

  • Two levels of formating details in filter: low (current one), medium (for fetch_* tools)

Tools Evolutions

  • Test OpenAlex support of Elasticsearch: YES!

  • Update work search tools descriptions, add: "Elasticsearch syntax"

  • Update tools descriptions, do not explain how it works but what you need to pass.

  • Update Author search tool, remove IDs handling (use fetch_author for this)

in format_work_result add:

  • first 3 Authors

  • Primary topic classification

in _process_fulltext in fetch_work

  • Remove pure PDF handling, auto-detect format based on prompt presence (if prompt provided → LLM summary, else → markdown)

  • Use proper sampling parameters

  • Semantic search, added as a new tool but can easily be integrated to work_search, we perform modifications at filters build_works_query.

  • Search by topics

  • Search foundational works

Citation

  • graph_work_citations

Authors

  • get_author_works: parameter author replaced by author_id; accepts only OpenAlex ID or ORCID.

  • graph_collaborations

Institutions

  • graph_colaborations

Global analysis tools

  • OpenAlex Topic comparaison

  • Geographical Region comparaison

  • Institutions comparaison

  • Trend deep analysis

License

MIT

Install Server
A
license - permissive license
-
quality - not tested
C
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

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