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Make project docs instantly accessible so Claude Code understands architecture and conventions.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "project-context-mcp" yet — see the docs or source repo.
Using @project-context, explain this repository's folder structure, core module responsibilities, and where new features should usually be added.
A documentation-based explanation of the structure, module ownership, and recommended locations for new work.
Refer to @project-context, summarize this project's naming rules, layering principles, and component organization, then generate a new API module template following them.
A summary of project conventions plus a code template that matches the existing standards.
Using @project-context, review whether this change aligns with the system architecture and engineering standards, and provide concrete refactoring suggestions and risks.
Context-aware review feedback with risks identified and actionable refactoring recommendations.
Provide project knowledge search and failure analysis for Claude Code workflows.
Serve project info markdown to MCP clients for reading, summarizing, and Q&A.
Use AI to understand codebases, key files, and project flows quickly.
Query Claude Code project memory, history, and preferences across projects.
Enable Claude Code to perform coding tasks through the OpenAI Codex CLI.
Store, search, and summarize codebase notes during coding sessions.