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Give AI coding assistants memory, code graph insight, and safe multi-agent coordination.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "lxDIG MCP" yet — see the docs or source repo.
Use lxDIG project memory and code structure to summarize recent architecture decisions, the related modules, and which services were affected.
A structured summary of architecture decisions, including involved modules and impact scope.
Using lxDIG's structural code graph, analyze the core components, call paths, and potential coupling points in the user authentication flow, then explain them concisely.
A concise explanation of authentication-related components, call paths, and architectural risk points.
Use lxDIG to plan a multi-agent refactoring workflow: one agent analyzes dependencies, one edits code, and one validates tests, while explaining how to avoid conflicts and duplicate changes.
A clear multi-agent task plan with execution order, conflict prevention, and safe collaboration guidance.
Help AI agents navigate, search, and understand codebases and change history.
Build, debug, and manage software tasks with natural language across LLMs.
Give AI agents persistent memory and semantic retrieval across conversations.
Turn your AI client into a coding hub with execution, memory, and sub-agents.
Give AI coding agents persistent shared memory with a team knowledge graph.
Give AI coding tools persistent memory across sessions, devices, and workflows.