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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.
Use AI to understand codebases, key files, and project flows quickly.
Manage project analysis, code metrics, Git, docs, and files with natural language.
Analyze GitLab projects to extract architecture knowledge for search and visualization.
Serve project info markdown to MCP clients for reading, summarizing, and Q&A.
Retrieve FastAPI docs, symbols, and OpenAPI specs for development insights.
Analyze codebases to generate READMEs, API docs, diagrams, and changelogs.