Trace MCP

WORKS WITH  ·  Claude Code  ·  Cursor  ·  Codex  ·  Windsurf  ·  Zed  ·  any MCP client

trace-mcp indexes what your agent keeps re-reading, and serves the answer instead. 72.7% fewer input tokens to review a pull request — median over 60 merged pull requests in open-source repos we don't own.

We change configuration you could change yourself. We do not patch your client's binary, intercept its traffic, or rewrite its files. One declinable exception: the Max tier's tweakcc pairing runs a third-party patcher for you.

npm install -g trace-mcp   # MCP server, no app
trace init                 # wire it into your agent, once per machine
trace add                  # index the repo you are in

72.7% fewer input tokens to review a pull request — median over 60 merged PRs in six repos that are not ours, 13,595 → 3,291 per pull request. Method and reproduction →

Measured at trace-mcp 3.23.2 (cb8ab30c) on 7 September 2026 — a result from that build, not a claim about the current one. What it set out to measure, the bar it had to clear and the verdict: preregistration.

Cheaper is not the same as better, so the same 60 pull requests were reviewed twice and scored blind. The trace-mcp arm understood the change in 67% of them against 65% for naive file loading, at 0.80 false positives per PR against 0.58. Quality half of the benchmark →

The desktop app: a GPU graph explorer over the same index the MCP server serves.

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The problem

AI agents pay repeatedly for work they have already done. Every turn, the agent re-reads the same files, re-traverses the same dependencies, and re-inflates the context window with structure it discovered five steps ago. That repeated work is most of what a long session costs in tokens and latency.

trace-mcp builds a framework-aware graph of your codebase once, then serves it through MCP so the agent reasons from a precomputed structure instead of brute-reading the repo. Ask "what breaks if I change this model?" — instead of 80 Grep calls and 190 file reads, the agent calls get_change_impact once and gets the blast radius across PHP, Vue, migrations, and DI. 88 framework integrations across 81 languages, 182 tools.

The binding constraint is recomputation, not model capability: token bills, latency, and hallucinations all grow with project size instead of with task complexity. trace-mcp closes the recomputation leak. The graph is built once, kept incrementally fresh, and served to every agent that asks — so the same work isn't paid for over and over.

• Lower cost — fewer tokens per successful answer, on average and at peak
• Lower latency — fewer sequential tool calls, fewer round-trips to the model
• Higher accuracy — less noise in context means fewer hallucinations and stronger first-response correctness
• Production stability — context growth tracks task complexity rather than repository size