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How to Install mcp-repo-graph in Claude Code

Structural graph memory for AI coding assistants navigate any codebase by structure, not guesswork.

What mcp-repo-graph does

repo-graph gives AI coding assistants a structural map of your codebase β€” entities, relationships, and end-to-end feature flows β€” so they navigate straight to the files that matter instead of grepping and reading everything first. It scans your repo once and builds a lightweight graph of what exists (modules, classes, functions, routes, services, components), how things connect (imports, calls, handles, cross-stack HTTP), and where each feature begins and ends. The assistant queries that graph through 11 MCP tools (status, flow, trace, impact, activate, find, dense_text, graph_view, …), finds the minimal set of files for the task, and reads only those. Works across 20+ languages and frameworks (Go, Rust, TypeScript/React/Angular/Vue, Python, Java, C#, and more), with cross-stack linking between frontend calls and backend routes. The engine is native Rust shipped as a prebuilt wheel, so scans are fast β€” a 12,000-node repo maps in a couple of seconds. Controlled before/after on a Go+Angular bug fix, same model and prompt: 2.5Γ— fewer tokens and ~9Γ— faster with repo-graph installed.

code-graph
codebase-navigation
ai-coding-assistant
code-analysis
context-engineering

Installation steps

  1. 1Copy the config below
  2. 2Open or create .claude/mcp.json in your project root
  3. 3Paste inside "mcpServers": {}
  4. 4Reload Claude Code

Configuration

File location: .claude/mcp.json (project root) or ~/.claude/mcp.json (global)

.claude/mcp.jsonjson
{
  "mcpRepoGraph": {
    "command": "uvx",
    "args": [
      "mcp-repo-graph",
      "--repo",
      "/path/to/your/project"
    ]
  }
}
Full server details GitHub Open Config Editor

Install in other clients

For maintainers

If you maintain mcp-repo-graph, add this badge to your README to show it's verified on CuratedMCP:

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