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Quickly trace code relationships and execution paths with a single AI tool call.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "trace-mcp" yet — see the docs or source repo.
Use trace-mcp to locate the code entry point for the 'login failure retry' feature. List the main files, call chain, and key functions, and explain what each part does.
A concise map of core files, call paths, and code locations to continue investigation efficiently.
Use trace-mcp to analyze why the order creation API times out intermittently. Trace the main call chain from the API entry to database writes and highlight possible bottlenecks.
An end-to-end call chain, likely performance bottlenecks, and suggested next optimization or validation steps.
Use trace-mcp to summarize the modules related to authorization in this project, including module boundaries, dependencies, and the key request flow through permission checks.
A structural summary of authorization modules, their dependencies, and the key permission-check flow.
Query Claude Code transcript analytics for cost, safety, audit, and efficiency insights.
Help AI agents navigate, search, and understand codebases and change history.
Enable Claude Code to perform coding tasks through the OpenAI Codex CLI.
Give AI coding assistants searchable long-term memory for decisions and discoveries.
Monitor dev logs and surface runtime errors for instant AI code verification.
Coordinate multiple AI coding agents to build, review, and remember together.