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Analyze codebases to generate READMEs, API docs, diagrams, and changelogs.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Documentation MCP" yet — see the docs or source repo.
Please analyze this codebase and automatically generate a clear README with a project overview, installation steps, usage instructions, and folder structure.
A structured README draft summarizing the project purpose, setup steps, and basic usage.
Please scan the codebase for interface definitions and generate API documentation listing key endpoints, parameters, return values, and usage notes.
An API documentation draft summarizing major interfaces and their descriptions.
Please generate an architecture overview from the codebase and draft a CHANGELOG summarizing major modules and recent changes.
An architecture overview and CHANGELOG draft to help the team understand system structure and updates.
When developers inherit an unfamiliar codebase, they can use it to generate a README, API docs, and architecture overview to reduce onboarding time.
Before open-sourcing or releasing an internal project, teams can analyze the codebase to quickly fill in project documentation and changelog notes.
As a project grows, developers or DevOps engineers can use it to extract architecture-related documentation from code and support system discussions.
It analyzes codebases and automatically generates READMEs, API docs, architecture diagrams, and changelogs. It is useful for quickly filling in project documentation assets.
Based on the provided information, it can generate READMEs, API documentation, architecture diagrams, and changelogs. For exact output formats or scope, see the source repository.
The provided material does not include installation steps or prerequisite details. Please see the source repository for that information.
Analyze GitHub repositories and automatically generate clear README files across workflows.
Generate technical docs and diagrams to improve engineering communication and delivery.
Fetch live package docs and changelogs to avoid stale API hallucinations.
Generate and maintain traceable enterprise documentation from real codebase artifacts.
Search official library docs and return clean text ready for LLM use.
Search and retrieve up-to-date open-source docs locally for AI coding assistants.