OpenAlex MCP Server

A Model Context Protocol (MCP) server that provides access to OpenAlex, a comprehensive open catalog of scholarly papers, authors, institutions, and more. This server is specifically designed to empower AI assistants to conduct literature reviews, analyze research trends, and map the scholarly landscape.

Features

Access 240+ million scholarly works through 18 specialized tools:

Literature Search & Discovery

• search_works: Advanced search with Boolean operators, filters, and sorting

• get_work: Get detailed metadata for a specific work

• get_related_works: Find similar papers based on citations and topics

• search_by_topic: Explore literature in specific research domains

• autocomplete_search: Fast typeahead search for all entity types

Citation Analysis

• get_work_citations: Forward citation analysis (who cites this work)

• get_work_references: Backward citation analysis (what this work cites)

• get_citation_network: Build complete citation networks for visualization

• get_top_cited_works: Find the most influential papers in a field

Author & Institution Analysis

• search_authors: Find researchers with publication and citation metrics

• get_author_works: Analyze an author's publication history

• get_author_collaborators: Map co-authorship networks

• search_institutions: Find leading academic institutions

Research Landscape & Trends

• analyze_topic_trends: Track research evolution over time

• compare_research_areas: Compare activity across different fields

• get_trending_topics: Discover emerging research areas

• analyze_geographic_distribution: Map global research activity

Entity Lookup

• get_entity: Get detailed information for any OpenAlex entity

• search_sources: Find journals, conferences, and publication venues

Installation

Option 1: Install from npm (Recommended)

Option 2: Install from source

Configuration

Environment Variables (Optional but Recommended)

Set your email to join the "polite pool" for better rate limits:

For premium users with an API key:

Claude Desktop Configuration

Add to your Claude Desktop config file:

MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%/Claude/claude_desktop_config.json

If you installed via npm/npx:

If you installed from source:

TypingMind and Other MCP Clients

The same configuration format works for TypingMind and other MCP-compatible clients.

⚠️ TypingMind Users: If you encounter "tool_use_id" errors, see TYPINGMIND.md for troubleshooting steps and best practices. TL;DR: Start a new chat, request fewer results (5-10), and use specific queries with filters.

Usage Examples

Example 1: Literature Review for AI Safety

The assistant will use get_top_cited_works with appropriate filters to find highly-cited papers in AI safety research. The tool automatically filters for papers with at least 50 citations by default, ensuring results focus on influential work. For the most impactful papers, you can specify a higher threshold like min_citations: 200.

Example 2: Citation Network Analysis

The assistant will use get_citation_network to build a network of citing and referenced papers, enabling visualization of research impact.

Example 3: Research Trend Analysis

The assistant will use analyze_topic_trends to group publications by year and show growth patterns.

Example 4: Finding Collaborators

The assistant will use get_author_collaborators to analyze co-authorship patterns.

Example 5: Comparative Research Analysis

The assistant will use compare_research_areas to show relative publication volumes.

Example 6: Geographic Research Mapping

The assistant will use analyze_geographic_distribution to map research activity by country.

Response Format

The MCP server uses a two-tier response system to balance performance and completeness:

Summarized Responses (Search Results)

For list operations (search_works, get_citations, get_author_works, etc.), responses include only essential information:

Included:

• Core identifiers (ID, DOI, title)

• Publication metadata (year, date, type)

• Citation metrics (cited_by_count)

• First 5 authors (with authors_truncated flag if more exist)

• Primary topic classification

• Open access status and URLs

• Source/journal name

• Abstract preview (first 500 chars)

Excluded to reduce size:

• Full author lists beyond 5 authors

• All secondary topics/concepts

• Complete affiliation details

• Full reference lists

• Detailed bibliographic data

This optimization reduces response sizes by ~80-90% (from ~10 KB to ~1.7 KB per work), making the server compatible with all MCP clients including TypingMind and Claude Desktop.

Full Details (get_work tool)

When you need complete information about a specific paper, use the get_work tool with a work ID or DOI. This returns:

Complete Author Information:

• ALL authors (not just first 5)

• Position indicators (first, middle, last author)

• Institutions and affiliations

• ORCID IDs

• Corresponding author flags

• Country information

Complete Content:

• Full abstract (reconstructed from OpenAlex index)

• All topics (not just primary)

• Complete bibliographic data

• Funding and grant information

• Keywords

• Complete reference and citation lists

Use Cases:

• Identifying PIs (often last author in biomedical fields)

• Finding corresponding authors

• Getting complete author affiliations

• Accessing full abstracts

• Comprehensive paper analysis

Tool Reference

Search Parameters

Most search tools support these common parameters:

• from_year / to_year: Filter by publication year range

• cited_by_count: Filter by citation count (e.g., ">100")

• is_oa: Filter for open access works only

• sort: Sort results (relevance_score, cited_by_count, publication_year)

• page / per_page: Pagination (max 200 per page)

Boolean Search

The search_works and related tools support Boolean operators:

Identifiers

OpenAlex accepts multiple identifier formats:

• OpenAlex IDs: W2741809807, A5023888391

• DOIs: 10.1371/journal.pone.0000000

• ORCIDs: 0000-0001-2345-6789

• URLs: Full OpenAlex URLs

API Rate Limits

• Default: 100,000 requests/day, 10 requests/second

• Polite Pool (with email): Better performance and reliability

• Premium (with API key): Higher limits and exclusive filters

Development

Data Source

All data comes from OpenAlex, an open and comprehensive catalog of scholarly papers, authors, institutions, and more. OpenAlex indexes:

• 240+ million works (papers, books, datasets)

• 50,000+ new works added daily

• Full citation network and metadata

• Author affiliations and collaboration data

• Publication venues and impact metrics

Use Cases

This MCP server is ideal for:

• Literature Reviews: Systematically search and analyze research papers

• Citation Analysis: Understand research impact and influence

• Trend Analysis: Track how research topics evolve over time

• Collaboration Mapping: Identify research networks and partnerships

• Gap Analysis: Find understudied areas in research

• Comparative Studies: Compare research activity across fields

• Institution Benchmarking: Analyze research output by institution

• Author Profiling: Study researcher publication patterns

License

MIT

Contributing

Contributions are welcome! Please feel free to submit issues or pull requests.

Resources

• OpenAlex Documentation

• OpenAlex API

• Model Context Protocol

• MCP Specification