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trace-mcp

Connector Development Usable
Works inClaude Code Claude Cowork Claude Chat
Usable Scanned — metadata only

Reduces code exploration time from ~42 minutes to a single tool call, cutting agent iteration overhead and inference cost when debugging or understanding unf…

An MCP server that builds a framework-aware graph of your codebase once, then serves it to AI agents so they reason from a precomputed structure instead of re-reading files every turn. Tools like `get_change_impact` return the blast radius of a change across languages and frameworks in a single call. Supports 80+ languages and also indexes markdown knowledge vaults such as Obsidian and Logseq. For teams using Claude Code or Codex on large or unfamiliar codebases.

95 starsMIT (commercial OK)FreeNo code needed
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Reduces code exploration time from ~42 minutes to a single tool call, cutting agent iteration overhead and inference cost when debugging or understanding unfamiliar codebases.

Teams using Claude for code analysis, debugging, or refactoring who need fast codebase introspection without manual file navigation.

Claude Code Claude Cowork Claude Chat

https://github.com/nikolai-vysotskyi/trace-mcp

By nikolai-vysotskyi

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.
Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.
Command
npm install -g trace-mcp && trace-mcp init && trace-mcp add

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

First thing to try

Once it’s connected, paste this into Claude:

Help me trace execution path through unfamiliar codebase in seconds
CostFree

Trust Signals Auto-scanned

Stars95Contributors4Last updated2026-08-05LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-12 · scanner vattempted-no-data

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Community Pulse Active

Discussed on Hacker News, Reddit

3 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 84 GitHub stars; contributors unknown; last commit 1d ago; license MIT.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score3.00 / 5.00 UsableEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 84 GitHub stars; contributors unknown; last commit 1d ago; license MIT.

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