Europe PMC MCP. Query 33M articles and grants from one place.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Europe PMC MCP Server gives your AI agent direct access to 33 million life science publications and research grants. Use the `search_articles` tool to query PubMed and PMC with advanced filters.
Use `search_grants` to find funding details from the Grist database. Use `get_article_fields` to list every available search field before you run a query.
This lets you build complex, evidence-based research queries right from your chat window.
What your AI agents can do
Get article fields
Lists all available fields (like Author or Journal) you can use to filter article searches.
Search articles
Searches the vast database for academic articles based on your keywords and filters.
Search grants
Searches the Grist database for details on research grants and funding opportunities.
You run a query across the entire corpus of over 33 million publications, filtering by authors, dates, or keywords.
You query the Grist database to find information on specific research grants and their funding details.
You ask the server what fields it can search on, letting you plan complex queries before running them.
You retrieve the exact structure of the data, understanding which fields are available for filtering and analysis.
You connect article topics with funding opportunities by running searches across both the article and grant datasets.
Ask AI about this MCP
Supported MCP Clients
Gemini Waiting for input…
Europe PMC MCP Server: 3 Tools for Life Science Data
These tools let your AI agent search publications, find grants, and explore the underlying metadata of the Europe PMC database.
019e5d16get article fields
Lists all available fields (like Author or Journal) you can use to filter article searches.
019e5d16search articles
Searches the vast database for academic articles based on your keywords and filters.
019e5d16search grants
Searches the Grist database for details on research grants and funding opportunities.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
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
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Europe PMC, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
Europe PMC MCP Server - Search Articles & Grants
Your AI agent gets straight access to 33 million life science papers and research grants. You can use the search_articles tool to query PubMed and PMC with advanced filters. You'll use search_grants to find funding details from the Grist database. You'll use get_article_fields to list every search field before you run a query.
This lets you build complex, evidence-based research queries right from your chat window.
Europe PMC MCP Server - Search Articles & Grants
- You'll use
get_article_fieldsto list every available field—like Author or Journal—that you can use to filter article searches. - You'll use
search_articlesto search the huge database for academic papers based on your keywords and filters. - You'll use
search_grantsto search the Grist database for details on research grants and funding opportunities.
How Europe PMC MCP Works
- 1 First, you subscribe to the Europe PMC MCP Server. It's ready for public use, so you don't need to worry about API keys.
- 2 Next, you connect your AI agent to the server. Then, you instruct your agent to run a query using a specific tool, like
search_articles. - 3 The agent executes the tool, sends the data back to your client, and you get the results in plain language.
The bottom line is: your AI agent handles the API calls and data formatting so you just get the answer.
Who Is Europe PMC MCP For?
This is for researchers, medical professionals, and data analysts who need to find verifiable, deep-cut data. If your job involves reading literature reviews, tracking funding sources, or building bibliometric reports, this server saves you hours of manual database hopping.
Finds recent literature and citations quickly. They use search_articles to check efficacy trials or use get_article_fields to build a highly specific query.
Accesses the latest clinical studies and biomedical data. They ask their agent to summarize findings from articles or search for data on specific diseases.
Tracks funding and project scope. They use search_grants to vet potential funding sources or cross-reference project topics with available grants.
What Changes When You Connect
- Direct Article Search: Use
search_articlesto pull article data from PubMed and PMC. You don't need to open a dozen tabs; the results come directly into your chat. - Grant Tracking: The
search_grantstool lets you track specific funding opportunities in the Grist database. This means you can map research gaps directly to potential funding sources. - Precision Query Building: Instead of guessing, use
get_article_fieldsto see every available metadata field. This lets you build complex, multi-criteria queries that standard search boxes can't handle. - Time Savings: Your agent runs the queries and handles the messy data structures. You get clean, actionable summaries instead of raw JSON dumps.
- Comprehensive View: You get one place for both literature and funding data. This dramatically cuts down the time spent switching between academic databases and government funding portals.
Real-World Use Cases
Tracking a specific disease's research history
A researcher needs to know all major studies on, say, malaria vaccine efficacy. Instead of multiple searches, they tell their agent: 'Search for articles about malaria vaccine trials from the last 5 years.' The agent uses search_articles and returns recent, relevant studies, including key titles and authors.
Vetting a funding source for a new project
A grant analyst wants to see if the Wellcome Trust has funded genomics research. They ask their agent to use search_grants to look up the Grist database. The agent finds specific grant IDs and details, letting the analyst know if the funding source matches their project scope.
Building a targeted literature review
A scientist needs to filter articles only by a specific journal and publication date. They first use get_article_fields to confirm 'JOURNAL' and 'FIRST_PDATE' are available, then use search_articles to execute the precise query. The agent handles the complex syntax.
Connecting knowledge gaps to funding
A project manager notices a research gap. They ask the agent to first use search_articles to confirm the gap exists, and then use search_grants to find grants that align with that specific area of study, creating a clear path forward.
The Tradeoffs
Searching for grants using article keywords
A user tries to search for 'genomics funding' using the search_articles tool, assuming the article content will list grant details. This fails because the article search indexes publications, not funding records.
→
To find funding, you must use the search_grants tool. This tool queries the dedicated Grist database and retrieves actual grant IDs and award details, which is the correct function.
Manually cross-referencing fields
A user finds an article ID from one source and then manually has to guess which API field to use to get the full author list or publication date. This is error-prone and slow.
→
First, run get_article_fields to get a list of every available field. Then, use search_articles with the specific field name (e.g., 'AUTH' or 'FIRST_PDATE') to ensure your query is precise.
Trying to search deprecated IDs
If an article ID is deleted or marked inactive, calling search_articles or get_article_fields with that ID might fail silently or return a cryptic error code, leaving the user unsure if the data exists.
→
Always start by running get_article_fields to understand the current schema. If you are using a specific ID, confirm it's active using the metadata tools before attempting retrieval.
When It Fits, When It Doesn't
Use this server if your goal is to build a definitive record of life science research and funding. You need to know what was published and who funded it. You must use search_articles for academic papers and search_grants for funding data. Don't use it if you just need a quick, general search for consumer health tips or anecdotal evidence; those searches belong in general web search tools. If you only need to check what filters are possible, run get_article_fields first. Never assume an API field exists; always check the schema.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Europe PMC. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 3 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Sifting through biomedical literature is a massive, manual chore.
Before this server, finding a complete picture of a research topic meant bouncing between PubMed, PMC, and various grant portals. You'd spend hours copying IDs, jumping through complex filter menus, and manually stitching together citation data and funding details. It was a process of constant context switching.
Now, your agent connects to Europe PMC. You just tell it the scope—'What are the grants and articles related to X?'—and it runs the appropriate tools (`search_articles` and `search_grants`) and delivers the synthesized data. You get the answer, not the API documentation.
Use the Europe PMC MCP Server: Precision in Data Retrieval
Manual searches often fail because you don't know the exact field name required—is it 'Publication Date' or 'FIRST_PDATE'? You waste time guessing or using overly broad queries that pull too much noise.
The Europe PMC MCP Server solves this by exposing the full schema. You use `get_article_fields` to confirm the exact field name, then use that name in `search_articles` to run a clean, precise query. The system handles the complexity so you don't have to.
Common Questions About Europe PMC MCP
How do I search for articles using the Europe PMC MCP Server? +
Use the search_articles tool. You pass your keywords and any necessary filters (like date or author) to the agent, and it runs the query against the 33 million record database.
Can I find grant details using the Europe PMC MCP Server? +
Yes, use the search_grants tool. This tool queries the Grist database specifically for funding details, allowing you to track grant IDs and award recipients.
What is the best way to build a complex query with Europe PMC MCP Server? +
First, run get_article_fields to see all available search parameters. Then, use search_articles with those specific, validated fields to ensure maximum precision.
Does the Europe PMC MCP Server handle multiple data types? +
Yes. The server is designed to handle both academic literature (via search_articles) and funding records (via search_grants) in one consistent workflow.
What is the best way to get available search fields using the Europe PMC MCP Server's `get_article_fields` tool? +
You call get_article_fields first. This command lists every available field—like 'AUTH' or 'JOURNAL'—so your AI agent knows exactly what to query. You use the list to build highly specific searches.
Does the Europe PMC MCP Server require an API key for the `search_articles` tool? +
No, you don't need an API key for public access. The server handles queries directly, letting your AI client run search_articles without any authentication steps.
If I need to search for both articles and grants, how do I use the Europe PMC MCP Server? +
You call the tools separately. Use search_articles for publications and search_grants for funding details. Your AI agent handles switching between the two tool endpoints.
What result format should I use when I run `search_articles`? +
You specify the result type: 'lite', 'core', or 'idlist'. This tells the server exactly how much data to send back, ensuring your agent gets only what it needs for the final output.
Can I sort article search results by citation count? +
Yes. When using the search_articles tool, you can include sorting parameters in your query, such as sort_cited:y to prioritize highly cited publications.
How do I know which specific fields I can use to filter my searches? +
You can use the get_article_fields tool. It returns a comprehensive list of all available search fields that can be used as parameters in your queries.
Is it possible to find funding information for specific researchers? +
Yes! Use the search_grants tool and provide the investigator's name (e.g., pi:name) in the query to find details of grants awarded to them.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
More in this category
Covalent
Equip your AI agent to query unified blockchain data including balances, transactions, and NFTs across 100+ chains.
NLM RxNorm (Drug Database)
Access the NLM RxNorm database to search for drugs, retrieve RxCUIs, and inspect standardized drug properties and identifiers.
Tinybird Data Platform
Analyze real-time data via Tinybird — manage Data Sources, inspect Pipes, and query endpoints directly.
You might also like
Capsule CRM Alternative
Manage contacts, sales opportunities, and projects via Capsule CRM — search parties, track pipelines, and manage tasks directly from any AI agent.
Acunetix 360
Automated web vulnerability scanning — manage scans, track issues, and audit security via AI.
Mailtrap
Test, debug, and preview emails in a sandbox before sending to production with analytics that catch rendering issues early.