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

Pipe millions of PubMed Central articles directly into your terminal scripts and CI/CD pipelines with Claude Code.

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MCP Servers — Included with Plan
Vinkius runs on Claude Code

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

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

GDPR Included with Plan

Key Capabilities

Put PubMed Central in Your Shell Scripts

This is for developers who live in the terminal. Use standard Unix pipes to chain PMC data into your existing workflows. No need to write custom API clients or parsers for one-off tasks. For example, `claude mcp exec pmc-open-access-pubmed-central-mcp oai_list_identifiers --set neurogenesis | jq -r '.records[].header.identifier' | xargs ...`. It's a simple, powerful way to integrate a massive scientific database into your command-line tools.

Automate Backend Data Syncing

Run this in a cron job or a GitHub Action. It's perfect for keeping an internal database in sync with PubMed Central's public records. The headless nature of Claude Code means it runs anywhere. The `convert_ids` tool is especially useful for backend jobs. You can feed it a stream of article IDs from one system and get back the corresponding IDs for another, ensuring your data stays consistent across different services.

A Headless MCP Server for Production

This isn't a toy. Because Claude Code is a CLI, you can reliably integrate this MCP server into production data pipelines. It returns structured JSON, so you can count on the output. Use `oai_get_record` to fetch the full XML for a specific paper and pipe it into an NLP processing service. Or use `oai_identify` as a health check in your CI/CD pipeline to ensure the PMC repository is responding before running a larger data import job.

Setup guide

Set up PMC Open Access (PubMed Central) MCP in Claude Code

Prerequisites

  • Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Run the add command

    Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.

  2. 2

    Verify the connection

    Start a Claude Code session and type /mcp to list connected servers. You should see pmc-open-access-pubmed-central-mcp with a green status indicator.

  3. 3

    Start using tools

    Ask Claude Code something like "Check my latest PMC Open Access (PubMed Central) transactions." It will automatically discover and invoke the available PMC Open Access (PubMed Central) tools.

Terminal
claude mcp add --transport http pmc-open-access-pubmed-central-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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

You'd use the `oai_list_identifiers` tool. The command would look something like `claude mcp exec pmc-open-access-pubmed-central-mcp oai_list_identifiers --set 'bioinformatics'`. You can then pipe that JSON output to `jq` for filtering.
Yes. Use the `export_citation` tool with a specific article ID. For example: `claude mcp exec pmc-open-access-pubmed-central-mcp export_citation --id 'PMC3166846' --format 'bibtex' > my_citation.bib`.
Authentication and simplicity. Vinkius handles the auth token, so you don't have to manage API keys. The MCP server provides named tools with clear parameters, which is more reliable for scripting than crafting raw HTTP requests and parsing messy XML.
It's a one-line command: `claude mcp add pmc-open-access-pubmed-central-mcp -- `. After that, all the tools are available for you to use in your terminal.
Yes. The server works exclusively with public article metadata from PMC. Your connection token is managed by Vinkius, and each request runs in a temporary, isolated environment that's destroyed right after your command finishes.

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

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