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Skill Detail

Serve codebase impact context to agents with Trace MCP

Use Trace MCP to index a repository once and let MCP-capable coding agents query framework-aware code, dependency, and impact context without repeatedly rereading the project.

Code Quality & ReviewMCP
Code Quality & Review MCP Security Reviewed
⭐ 154 GitHub stars ⬇ 6.6k/wk npm
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At a glance
Tools required
trace-mcp MCP server, npm or release installer, git, a local repository, and an MCP-capable coding client such as Claude Code, Codex, Cursor, Windsurf, or Zed
Install & setup
Install with npm install -g trace-mcp, run trace init once to connect it to your MCP-capable agent client, then run trace add inside the repository you want indexed. Use the connected agent to query impact, symbols, routes, dependencies, and pull-request context from the local index.
Author
nikolai-vysotskyi
Publisher
Individual
Last updated
Sep 6, 2026
Quick brief

Use Trace MCP when an agent or coding operator needs repository-scale code intelligence during reviews, refactors, and impact analysis. The workflow is to install the MCP server, wire it into an MCP-capable coding client, index the current repository, and have the agent ask graph-backed questions such as what breaks if a model, route, symbol, or dependency changes. Invoke this instead of using the product normally when the task is not browsing the graph by hand but giving Claude Code, Codex, Cursor, Windsurf, Zed, or another MCP client fast local context for pull-request review and change planning. The scope boundary is local codebase indexing and MCP-served impact context for coding agents; it is not a generic MCP server listing, a source-code search product card, or a broad framework entry.

How it works

What this skill actually does

Inputs and prerequisites: trace-mcp MCP server, npm or release installer, git, a local repository, and an MCP-capable coding client such as Claude Code, Codex, Cursor, Windsurf, or Zed.

Setup notes: Install with npm install -g trace-mcp, run trace init once to connect it to your MCP-capable agent client, then run trace add inside the repository you want indexed. Use the connected agent to query impact, symbols, routes, dependencies, and pull-request context from the local index.

Source and verification boundary: use https://trace-mcp.com as the canonical reference before running the workflow; keep commands, API calls, CLI usage, and generated outputs reviewable against that upstream source.

Framework fit: publish this as a MCP workflow only when the operator can invoke the documented toolchain directly, rather than treating the upstream project as a generic product listing.