OpenAlex MCP. Map the global research landscape with natural conversation.
OpenAlex connects your AI agent directly to a massive, open index of global scholarly research. It lets you search millions of works, authors, institutions, and funding sources using natural conversation. Stop jumping between databases; find metadata on anything from academic papers to university affiliations instantly.
Give Claude and any AI agent real-world access
You can list, search, or filter scholarly works, including articles, books, and datasets based on criteria like author ID, publication year, or topic.
Retrieve detailed information about any academic author, showing their primary affiliations and overall impact metrics.
List or fetch details on universities and research organizations globally, helping you understand the geographic spread of research.
Find single funder profiles or list multiple funders associated with specific research projects.
Get metadata for journals, conferences, and repositories (sources) or discover the core topics driving a field of study.
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What AI agents can do with OpenAlex: 14 Tools for Academic Research
Use these tools to query the OpenAlex database directly. Search academic papers, profiles, organizations, and more with specific functions.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using OpenAlex MCPGet Author
Retrieves all profile data for one specific author using their OpenAlex ID.
Get Funder
Gets the full profile of a single funder organization by its unique OpenAlex ID.
Get Institution
Pulls all available details for one university or research body using its OpenAlex...
Get Publisher
Retrieves the profile information for a single publishing house by its OpenAlex ID.
Get Source
Gets metadata about one specific journal, conference, or repository using its...
Get Topic
Retrieves detailed information for a single defined academic topic area by its OpenAlex ID.
Get Work
Fetches the full metadata record for one scholarly work, such as an article or dataset, using its unique ID.
List Authors
Searches and filters authors by name, affiliation, or other criteria to resolve...
List Funders
Lists, searches, and applies filters across multiple funding organizations.
List Institutions
Provides a searchable directory of academic institutions and research groups...
List Publishers
Searches and filters publishing entities by name or scope.
List Sources
Lists, searches, and filters academic sources like journals or conference proceedings.
List Topics
Provides a searchable list of recognized research topics and subject areas.
List Works
Searches, filters, sorts, and groups large sets of scholarly works (articles, books...
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Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
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Make Your AI Do More
Start with OpenAlex, then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,200+ others, all in one place
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- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog weekly
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Keeping track of the full history of research sources is a nightmare.
Right now, if you want to know where a key academic paper came from, you have to jump through multiple portals: checking databases for authors, going to university websites for affiliations, and then searching journal sites just to see the source. You copy-paste identifiers dozens of times until you piece together who funded it, which institution published it, and if the data is even complete.
With this MCP, your agent handles all those hops. You tell it what you need—say, 'What sources are key for AI ethics?' The system runs complex queries across list_sources, get_topic, and list_institutions to build a comprehensive picture of the field's intellectual origins.
The OpenAlex MCP delivers complete academic profiles with get_author.
Manual profiling means opening one tab for affiliations, another for citation counts, and a third just to list the works. You lose hours cross-referencing these details, and you might miss key publications from secondary sources.
Using this MCP, your agent pulls everything together automatically. It resolves an author's name into their ID and executes get_author, giving you a single, clean summary of their entire career history without leaving the chat.
What OpenAlex MCP does for your AI
Need to map out the full landscape of a specific scientific field? OpenAlex gives your AI agent access to an open index of global research data, tracking everything published across academia. You can ask for works related to a topic and get back structured metadata, or you can identify key researchers by name and pull their entire academic profile, including all major affiliations.
This MCP lets you explore the connections between institutions, the people who work there, and the money that funds it. Whether you're tracking citation trends across different disciplines or just verifying an author's credentials, your agent handles the heavy lifting. Connect this MCP through Vinkius to give any compatible client access to this deep knowledge base.
019e38cd-4711-72f7-999e-65c2fd419828 How to set up OpenAlex MCP
The bottom line is your AI client reads complex academic indexes using natural language queries, returning clean data points instantly.
Subscribe to this MCP on Vinkius. You can optionally enter your OpenAlex API Key if you need faster rate limits.
Tell your AI client what specific academic data you need, like 'Find all papers about quantum computing from MIT in 2021.'
The agent runs the necessary search through this MCP and returns structured metadata for the works, authors, or institutions you asked about.
Who uses OpenAlex MCP
This MCP is for academics and analysts who spend too much time manually cross-referencing citation databases. Use this if you need to map the provenance of an idea or track a researcher's career trajectory across multiple publications.
Uses list_works and get_author to quickly find relevant literature, verify citations, and understand which key authors published specific papers.
Runs complex queries using list_institutions or list_funders to gather data on research trends, map academic collaboration networks, and analyze funding patterns programmatically.
Uses get_source and get_topic to trace the history of a subject by identifying core journals, major contributing sources, or emerging fields of study.
Benefits of connecting OpenAlex MCP
Stop copy-pasting author names. Use list_authors first to resolve a researcher's name into a verifiable ID, then use get_author to pull their complete profile in one step.
Track funding history easily. If you know the work, you can check which funders were involved using get_funder; if you know the funder, you can list what they supported via list_funders.
Build research maps instantly. Instead of visiting separate university directories, use list_institutions to find top academic hubs and then query them for related works using list_works.
Pinpoint source quality. Need to know if a paper is from a major journal or an obscure repository? Use get_source to check the full details of the publication venue.
Navigate complex topics without specialized knowledge. Use list_topics and search by category to understand the foundational subjects driving current academic research.
OpenAlex MCP use cases
Mapping a field's origins
A bio-tech analyst needs to know which institutions first studied CRISPR gene editing. They ask their agent, 'List works about CRISPR and filter by institution.' The agent uses list_works combined with list_institutions to return the top five universities and the foundational papers published there.
Verifying a cited paper's context
A student is writing a thesis and finds an author mentioned. They ask their agent, 'What are this author's key affiliations and what sources did they publish in?' The agent uses get_author to confirm the researcher’s profile and list_sources for primary publication venues.
Tracing academic influence
A data scientist wants to see which organizations are leading research on clean energy. They prompt, 'List institutions that published works related to solar power over the last decade.' The agent uses list_works and list_institutions to return a prioritized list of contributors.
Analyzing grant dependencies
A consultant needs to know if a recent paper was funded by private or governmental sources. They ask, 'For this work ID, who provided the funding?' The agent executes get_work and then uses get_funder to provide the specific corporate or government entity responsible for the research.
OpenAlex MCP tradeoffs
What to watch out for, and the recommended way to handle each one.
Searching by vague keywords
Just asking 'Tell me about quantum physics.' This gets a huge, unmanageable list of general results and doesn't pinpoint specific works or authors.
Be precise. Use the tool to narrow your search: 'List works on quantum computing published between 2018 and 2023 by institutions in Germany.' This uses list_works with filtering criteria.
Ignoring ID lookups
Trying to query an author's work using only their name repeatedly. The AI client can get confused or pull too many irrelevant results.
Always resolve first. Use list_authors to convert the name into a stable ID, then use that ID with get_author or list_works for accurate, targeted data.
Assuming single-tool function
Asking only 'List all works.' This returns millions of records and requires manual filtering on the user's end.
Always refine your query. Use list_works with specific filters like publication_year:>2022 or author.id:A123 to get a manageable, actionable dataset.
When to use OpenAlex MCP
Use this MCP if your research requires deep, structured metadata retrieval across the entire academic ecosystem. You need to map connections—who funded what, who collaborated with whom, and which source is most authoritative for a given topic. Don't use it if you are looking for general news or casual facts; OpenAlex only handles peer-reviewed, indexed scholarly data. If your goal is simply to search Wikipedia or find public domain creative works, this MCP isn't the right fit. However, if you need to validate an academic claim—for example, confirming a paper’s existence (get_work), checking its source (get_source), and identifying its primary contributor (get_author)—this is exactly what you need.
Frequently asked questions about OpenAlex MCP
How do I use OpenAlex MCP to find works by a specific university? +
You can list institutions first using list_institutions to get the ID for that university. Then, run list_works and filter results by including that institution's ID in your search query.
Can OpenAlex MCP help me track funding sources? +
Yes. You can use list_funders to search for organizations or get details on a specific funder using get_funder. This helps you map the financial support behind academic research.
What's the difference between list_works and get_work in OpenAlex MCP? +
list_works is for searching large sets of papers based on criteria like year or topic. get_work requires you to already have a specific work ID and retrieves its full metadata record.
Does the OpenAlex MCP support filtering by publication date? +
Yes, list_works supports advanced filtering, including setting minimum (:>) or maximum (:<) years for the publication year. This is critical for tracking research trends over time.
Do I need to know the OpenAlex ID to use get_author? +
While it's most accurate, you can first use list_authors to search by name or affiliation and retrieve the necessary author ID before running get_author.