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How to Use the PMC Open Access (PubMed Central) MCP in Claude

Pull PMC Open Access (PubMed Central) articles and convert IDs directly within Claude Desktop without leaving your chat.

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MCP Servers — Included with Plan
Vinkius runs on Claude Desktop

Connect PMC Open Access (PubMed Central) MCP to Claude Desktop

Create your Vinkius account to connect PMC Open Access (PubMed Central) to Claude Desktop — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Fast-track biomedical literature lookups in Claude Desktop

The `convert_ids` and `export_citation` tools allow you to manage biomedical identifiers directly within Claude Desktop via this MCP integration. Stop wasting time manually looking up PMIDs or copying DOIs from browser tabs. Your agent can translate these identifiers instantly inside your workspace, giving you immediate access to the exact paper you need. It keeps your research flow inside the chat, saving you from constant context switching.

Query PMC Open Access (PubMed Central) metadata on the fly

Using `oa_discover` and `oai_get_record` lets you find full-text links and detailed article metadata without leaving your chat. Finding relevant clinical trials or life science papers shouldn't require complex web scraping. Run these queries to let Claude Desktop pinpoint downloadable resources and fetch structured XML metadata. Your agent parses this structure instantly, presenting clean summaries without the usual manual digging.

Sync bulk records with this MCP Server

This MCP Server exposes `oai_list_records` and `oai_list_identifiers` to let you index entire sets of biomedical articles. Pulling large batches of medical data requires reliable endpoints. You can inspect repository formats using `oai_list_metadata_formats` to ensure your data pipelines match the required schema. It turns your chat interface into a direct portal to PubMed Central's OAI-PMH repository.

Setup guide

Set up PMC Open Access (PubMed Central) MCP in Claude Web or Desktop

  1. 1

    Open Claude Settings

    Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

  2. 2

    Add Custom Connector

    Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

  3. 3

    Start a conversation

    Open a new chat. The PMC Open Access (PubMed Central) MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

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Common questions about PMC Open Access (PubMed Central) MCP in Claude Desktop

Run the `convert_ids` tool directly in your chat. Claude Desktop will translate PMIDs, DOIs, and PMCIDs in a single step, ensuring your literature references are accurate.
Yes, you can. Use the `oai_get_record` tool to retrieve specific structured XML metadata directly into your chat window for immediate analysis.
It uses `oai_list_records` to fetch structured batches. Your agent can then parse and organize these records without overloading your local workspace.
Use `oai_list_metadata_formats` to see what is available. This lets you choose between standard formats like Dublin Core or specific PMC schemas.
No, because this server only processes public biomedical literature metadata and article identifiers. Your queries run locally on Claude Desktop or through secure, isolated sandboxes, meaning your private clinical notes never reach public servers.

Start using the PMC Open Access (PubMed Central) MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 8 tools

We've already built the connector for PMC Open Access (PubMed Central). Just plug in your AI agents and start using Vinkius.

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