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Analyze Python projects, docs, and OpenAPI specs to understand codebases faster.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "project-explorer-mcp" yet — see the docs or source repo.
Scan this Python project's directory tree, summarize the role of major files and folders by module, and identify entry points and core components.
A high-level project map with module breakdowns, key file descriptions, and main entry points.
Extract outlines from Python and Markdown files in the project, listing classes, functions, and headings, then produce a readable summary by directory.
A hierarchical summary of code structure and documentation sections for fast project review.
Inspect the OpenAPI specification in the project, list available endpoints, HTTP methods, key parameters, and response schemas, and point out obvious gaps.
A summarized API inventory with endpoints plus notes on potentially missing fields, descriptions, or definitions.
Analyze GitLab projects to extract architecture knowledge for search and visualization.
Analyze project structure, read files, and understand codebases with context.
Retrieve FastAPI docs, symbols, and OpenAPI specs for development insights.
Collaboratively manage project docs, decisions, todos, pitfalls, and interfaces with AI.
Store, search, and summarize codebase notes during coding sessions.
Make project docs instantly accessible so Claude Code understands architecture and conventions.