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Navigate ASTs, trace impact, chain coding tasks, and recall code context.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MPM-Coding" yet — see the docs or source repo.
Using the current codebase, locate the definition, call chain, and affected modules for the refundOrder function in paymentService, then list change impact by high, medium, and low risk.
Returns the function location, upstream/downstream call graph, affected files, and risk-ranked recommendations.
Break down “add email verification login to the user system” into an executable task chain, including involved files, dependency changes, test points, and suggested execution order.
Outputs a structured task list explaining what to change, task order, and how to validate each step.
Recall the authorization module refactor we discussed earlier and, using the current repository structure, summarize key constraints, unfinished items, and recommended next steps.
Provides a memory-consistent plan summary and maps next actions to the current code structure.
Give AI coding agents persistent code memory while cutting token usage dramatically.
Give AI coding agents structured access to project architecture and decisions.
Forward MCP tools to coding agents for session-based development tasks.
Build semantic memory and structural code indexes for persistent AI project context.
Retrieve GitHub code at symbol level to explore repos with far lower AI token costs.
Aggregate coding plan services for code review, plan review, and AI coding dialogue.