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Generate layered code context docs to help AI understand large codebases faster.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ctx-gen-mcp" yet — see the docs or source repo.
Generate L0/L1/L2/L3 progressive code context documentation for this large repository. Start with the overall project structure, then expand modules, key files, core functions, and dependencies in an AI-agent-friendly format.
A layered set of code context documents covering architecture, modules, key files, and detailed implementation notes.
I inherited a legacy project. Generate progressive code context documentation highlighting entry points, core business modules, config locations, external dependencies, and likely technical debt so AI can help maintain it.
A maintenance-focused layered project guide that helps identify critical code and potential risk areas quickly.
Turn this codebase into an AI-agent-ready context pack: L0 overview, L1 module map, L2 file summaries, and L3 key implementation details, minimizing redundancy and emphasizing relationships.
A clean, compact AI-ready code understanding package for follow-up Q&A and development tasks.
Read, edit, and refactor code precisely with AST-based, token-efficient operations.
Analyze dependencies and fetch relevant docs to build project context fast.
Get context-aware docs, types, and examples for any npm package.
Search, browse, and retrieve information from GenLayer documentation.
Indexes JS/TS projects and builds optimized context packs for AI coding assistants
Read, search, and update codebase documentation context through MCP.