ReadMe MCP Server
Equip your AI to directly search, read, and manage developer documentation stored in your ReadMe project.
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What is the ReadMe MCP Server?
The ReadMe MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to ReadMe via 10 tools. Equip your AI to directly search, read, and manage developer documentation stored in your ReadMe project. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (10)
Tools for your AI Agents to operate ReadMe
Ask your AI agent "Search the documentation for instructions on configuring webhooks." and get the answer without opening a single dashboard. With 10 tools connected to real ReadMe data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
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ReadMe MCP Server capabilities
10 toolsRetrieves details for a specific documentation category
Lists all documentation pages under a specific category
Retrieves the full content of a specific changelog post
Retrieves the full content of a custom page
Retrieves the full content of a documentation page
Retrieves details about the ReadMe project
Lists all documentation categories on ReadMe
Lists all changelog posts
Lists all custom standalone pages
Performs a full-text search across all documentation pages
What the ReadMe MCP Server unlocks
Connect your ReadMe documentation hub directly to your AI agent. Enabling this integration turns your AI into an expert technical writer and reader, capable of instantly scanning your entire developer documentation, changelogs, and custom pages without context switching.
What you can do
- Documentation Search — Perform full-text searches across all your published guides and API references.
- Content Retrieval — Fetch the exact Markdown content of any specific documentation page, changelog, or category.
- Project Analysis — Understand how your documentation is categorized and structure new content accordingly.
- Changelog Tracking — Pull recent product updates and announcements formally published to your users.
How it works
1. Authorize the ReadMe MCP server in your environment.
2. Provide your ReadMe API Key (found under your project's Configuration settings).
3. Ask your AI to summarize a specific API endpoint's documentation or list recent changelogs directly from your chat.
Who is this for?
- Developer Advocates — Verify the accuracy of published guides and quickly draft new content referencing existing structures.
- Technical Writers — Search and audit current documentation for outdated references without leaving your code editor.
- Software Engineers — Instantly pull your company's official API documentation into your IDE to ensure your code aligns with published standards.
Frequently asked questions about the ReadMe MCP Server
Where do I obtain my ReadMe API Key?
Log into your ReadMe dashboard. Navigate to your specific project, then open 'Configuration' and click on 'API Key'. You will use this key as the authentication parameter (our integration handles it natively as a Basic Auth username).
Does the server allow me to write or edit documentation?
Currently, the MCP server is focused on read-only operations. It can query, retrieve, and search changelogs, custom pages, and standard documentation categories, bringing context to the AI securely without risking accidental overwrites.
In what format is the document content returned?
All text and page content uses native Markdown format directly fetched from ReadMe's engine. This makes it perfect for the AI to interpret, syntax-highlight, and display naturally within chat or code comments.
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Give your AI agents the power of ReadMe MCP Server
Production-grade ReadMe MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.






