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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.
Turn any LLM into a codebase expert with search, mapping, and security insights.
Analyze dependencies and fetch relevant docs to build project context fast.
Provide structured Go documentation to coding agents while reducing context usage.
Get context-aware docs, types, and examples for any npm package.
Search, browse, and retrieve information from GenLayer documentation.