MCP-compatible documentation generators are specialized tools designed with features that support documenting AI-related projects, specifically those following the Machine-Controlled Program (MCP) pattern.

Available Generators

  • Mintlify: A modern documentation platform used by this site, with built-in support for AI-related content and interactive examples. Mintlify can generate MCP servers directly from your documentation, enabling:

    • AI-accessible documentation for contextual answers
    • Real-time API querying through OpenAPI specifications
    • Structured formats like /llms.txt for AI-friendly indexing
    • Precompiled context files for LLMs to efficiently access your documentation

    This entire website is generated using Mintlify and can be accessed through its autogenerated MCP docs server - providing a meta example of MCP documentation that documents MCP tools.

  • Speakeasy: API documentation generator with special features for documenting AI endpoints and capabilities

  • Stainless: Documentation tooling focused on robust API references and SDK documentation for MCP services

Features and Benefits

These documentation tools provide specialized features for describing, demonstrating, and documenting the unique aspects of MCP applications like:

API Endpoints

Comprehensive documentation for AI services

Model Capabilities

Document capabilities and limitations clearly

Interaction Patterns

AI interaction patterns and prompting strategies

Integration Guidelines

Best practices for LLM-powered applications

Context Management

Window management documentation for LLMs

Tool Specifications

Schemas and usage details for AI tools

When to Use

Choose these specialized documentation generators when:

  • Building AI-first applications that need clear documentation
  • Creating API reference materials for LLM services
  • Documenting prompt engineering guidelines
  • Providing examples of AI tool usage patterns
  • Sharing best practices for MCP integration