MCP (Model Context Protocol)
Model Context Protocol (MCP) is a standardization of how AI assistants interact with APIs, and ReadMe is bringing this capability to your developer hub. With MCP servers, you can convert your API documentation into a structured, resource that AI assistants can understand and interact with programmatically.
Key Features
- Custom Tooling: Define custom workflow and endpoint combinations. New
- Enabled Routes: Disable endpoints you don’t want accessible in your MCP server New
- OpenAPI Integration: Generate an MCP server from your existing OpenAPI specification.
- AI assistants can connect to your MCP server to:
- Read and understand your OpenAPI spec.
- Execute API calls.
- Search docs with Ask AI.
- MCP Tools:
- OpenAPI Tools:
execute-request
- Make API calls directly from your specificationget-endpoint
- Pull in detailed endpoint information on demandget-request-body
- Access structured request parametersget-response-schema
- Understand what your API returnslist-endpoints
- Browse all available API endpointslist-security-schemes
- Access authentication requirementssearch-schema
- Find exactly what you need in your API specget-code-snippet
- Example code snippets in your preferred language to interact with your endpoint.
- Documentation Tools:
search
- Search your entire knowledge base for relevant informationfetch
- Return a guides page
- OpenAPI Tools:
Documentation Tools require upgrading your current plan with the AI Booster Pack.
For Enterprise customers, please reach out to your CSM.
For Startup and Business customers, please upgrade your plan with the AI Booster Pack from your Manage Plan page under Settings.
How It Works
We create a dedicated MCP server that connects to your OpenAPI specification and Ask AI functionality. This creates a bridge between your API documentation and AI assistants, making your API instantly more accessible and understandable to AI tools.
Extra Features
- Branches By default, the MCP server is connected to the latest stable version. To chose a different branch append
?branch=<name>
to the MCP url. NOTE: When you are on a branchsearch-documentation
will not be available. - Private Projects To access protected projects, you will need to configure your MCP client to send a
x-readme-auth
header- Password protected:
x-readme-auth
should be the site password - Teammates only & Custom login:
x-readme-auth
should be an api key in the formbearer <api_key>
- Password protected:
Getting Started with MCP
Choose how you’d like to start working with MCP:
- Auto-Generate Your Own MCP Server: Every ReadMe project automatically includes a fully configured MCP server. Simply enable MCP to connect your API documentation to AI tools.
- Use ReadMe’s MCP Server: With ReadMe’s MCP server, you can do everything you normally would in ReadMe, like adding and editing pages, directly through our API.
Updated 4 days ago