# PubMed Central MCP for AI Agents AI Agent Connect > PubMed Central MCP lets your AI agent search and pull full-text biomedical and life sciences literature from the world's largest open-access archive. It handles complex queries, retrieves complete articles for deep analysis, and maps IDs like DOIs and PMIDs so you can move from a search result to a deep dive in seconds. ## Overview - **Category:** knowledge-management - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_U9ekHpIXBEbNwNHsdwHGddpNGYPUoyZeaXWyzTn8/ai-agent-connect - **Tags:** pubmed, biomedical, open-access, academic-search, full-text ## Description You can stop jumping between tabs to find and download research papers. This Connector connects your AI agent directly to the PubMed Central archive, making it possible to pull full-text articles into your workspace for immediate analysis. Instead of just getting a summary, you get the actual content of the papers in standard formats. You can also track how research impacts the field by looking up who is citing specific papers. If you're working with messy identifiers, the tool handles the heavy lifting of converting between DOIs and PMCIDs. It's part of the Vinkius catalog, which makes it easy to plug into your existing AI setup. You just provide your credentials and start asking your agent to find the latest clinical studies or specific biomedical datasets. It turns a manual research process into a conversation where the AI does the hunting and the data gathering for you. This means you can spend more time interpreting the data and less time wrestling with search results or broken links. Whether you are looking for a specific gene sequence, a clinical trial result, or a broad literature review, this connection gives your agent the eyes it needs to see the full scope of the archive. ## Tools ### get_citing_articles Identify all papers that reference a specific PubMed ID. Use this to see how a specific study has influenced the field over time. ### get_oa_record Pull license details and file locations for open-access records. This helps you verify the rights and availability of the research you find. ### oai_pmh_request Grab metadata from the PMC OAI-PMH service for large scale harvesting. This is ideal for collecting summaries and license info across many papers at once. ### get_bioc_article Pull the full text of a paper in BioC format for deep reading. This allows your agent to analyze the entire article rather than just a summary. ### convert_ids Swap between PMCID, PMID, and DOI to keep your data organized. This ensures your agent is looking at the correct record regardless of the ID type. ### search_articles Search the entire PubMed Central database using specific filters. Use this to find papers by author, date, or specific medical keywords. ### get_article_summary Grab the basic metadata and summary for a specific PMC article. This is a fast way to screen a paper before deciding to pull the full text. ## Prompt Examples **Prompt:** ``` Find me any papers from 2022 about mRNA vaccines in PubMed Central. ``` **Response:** ``` I found several relevant articles from 2022 regarding mRNA vaccine development. Here are the top results: | PMCID | Title | Key Focus | | :--- | :--- | :--- | | PMC8823412 | mRNA Vaccine Efficacy | Clinical Trials | | PMC8824500 | Lipid Nanoparticle Delivery | Delivery Systems | | PMC8825100 | Scalable Manufacturing | Production | Would you like me to pull the full text for any of these? ``` **Prompt:** ``` Can you get the full text for PMC7840891 in JSON? ``` **Response:** ``` I've retrieved the full-text content for PMC7840891. Here is the structured data: **Article Structure:** * **Introduction**: Overview of the study objectives. * **Methods**: Detailed protocol for the experiment. * **Results**: Key findings and statistical data. * **Discussion**: Interpretation of the results. Which section would you like me to summarize or extract specific data from? ``` **Prompt:** ``` I have DOI 10.1038/s41586-020-2012-7. What is the PMCID? ``` **Response:** ``` The DOI 10.1038/s41586-020-2012-7 maps to **PMCID: PMC7095063** (and PMID: 32015508). Would you like me to find the full text for this article? ``` ## Capabilities ### Fetch full-text articles Get the complete text of a paper in BioC format for deep analysis. ### Search biomedical literature Find specific papers using complex filters like authors, dates, and keywords. ### Track citation networks Identify every paper that references a specific PubMed ID. ### Map article identifiers Convert between PMCID, PMID, and DOI formats to keep your data consistent. ### Extract open-access records Pull license info and file locations for open-access records. ### Harvest metadata Grab summaries and license data via the PMC OAI-PMH service. ## Use Cases ### Finding recent CRISPR studies A researcher asks for 2023 CRISPR papers and the agent uses `search_articles` to list them. This allows them to quickly survey the latest breakthroughs without manual browsing. ### Analyzing a specific drug's impact A scientist uses `get_citing_articles` to see how many papers cite a specific PMID. They can then map out the entire scientific impact of a specific drug or gene. ### Converting a DOI list A data scientist feeds a list of DOIs to the agent to get a clean list of PMCIDs using `convert_ids`. This keeps their database consistent and ready for analysis. ### Extracting full text for a review A writer asks for the full content of a specific paper to extract the Methods section using `get_bioc_article`. They can then pull specific data points into their draft. ## Benefits - Get full-text content immediately using `get_bioc_article` to avoid manual downloads. You can pull the actual paper into your chat for deep analysis instead of just reading a summary. - Track how research impacts the field with `get_citing_articles`. This lets you see every paper that references a specific PubMed ID to build a complete citation network. - Keep your data clean by using `convert_ids` to standardize different article identifiers. It handles the heavy lifting of swapping between PMCID, PMID, and DOI formats. - Automate metadata collection with `oai_pmh_request` for large-scale research projects. It pulls license info and summaries from the PMC OAI-PMH service in bulk. - Quickly filter results with `search_articles` to find specific authors or dates. You can narrow down millions of papers to the exact ones you need in seconds. - Verify open-access rights and locations using `get_oa_record`. This ensures you have the correct license information and file locations for your research materials. ## How It Works The bottom line is you get direct, programmatic access to millions of peer-reviewed biomedical papers without leaving your chat interface. 1. Subscribe to the PubMed Central MCP on Vinkius. 2. Provide your NCBI Tool Name, Email, and an optional API Key. 3. Ask your AI client to find, summarize, or pull specific medical research papers. ## Frequently Asked Questions **Can the PubMed Central MCP find full-text articles?** Yes, it can pull the full text in BioC XML or JSON formats so your agent can read the entire paper. This means you can move from finding a title to analyzing the data in one step. **Does it work for any medical topic?** It covers the entire PubMed Central archive, which includes a huge range of biomedical and life sciences research. If it's in the PMC archive, your agent can find it. **How do I use it to find citations?** You can ask your agent to find all papers that cite a specific PubMed ID to see the research's impact. It helps you understand how a specific study has influenced the field. **Can it handle DOI conversions?** Yes, it can automatically convert between PMCID, PMID, and DOI to keep your data consistent. This is a huge time saver when you're managing large lists of research papers. **Is this for open-access papers only?** While it's great for open-access records, it can also search and retrieve a wide range of PMC literature. It's your gateway to the world's premier digital archive of life sciences. **Can I use it to get metadata summaries?** Yes, you can quickly pull summaries and license info for many articles at once. It's a fast way to screen multiple papers to see which ones are worth a deeper look. **How do I convert a DOI or PMID into a PMCID for full-text access?** Use the `convert_ids` tool. Provide a comma-separated list of identifiers, and the agent will return the mapped PMCID, which is required for many other PMC retrieval tools. **Can I retrieve the actual content of an article, not just the abstract?** Yes. If the article is in the Open Access subset, use `get_bioc_article` with the PMCID. You can specify 'json' or 'xml' format to get the full-text sections. **How can I find which papers have cited a specific study?** Use the `get_citing_articles` tool by providing the PubMed ID (PMID) of the study. It will return a list of PMC articles that reference that specific work.