What problem does repo-graph solve?
It replaces the inefficient “grep, read, grep, read” loop by giving the AI a structural map of the codebase. In one benchmark, it reduced tokens from 75K to 30K and time from 4m36s to ~30s.
@James-Chahwan
基本情報
Structural graph memory for AI coding assistants. repo-graph maps your codebase entities, relationships, and feature flows so the model navigates to the right files instead of reading everything first. Tree-sitter, 20+ languages, frontend to backend and more, any MCP client.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"repo-graph": {
"command": "uvx",
"args": [
"mcp-repo-graph",
"--repo",
"."
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
Repo Graph is an MCP server that builds a structural graph of a codebase — entities, their connections, and feature flows from frontend to backend — for AI coding assistants. It uses Rust and tree-sitter to handle 20+ languages and frameworks cross-stack, allowing the AI to query the graph for relevant files instead of reading the entire repository.
Install and run with uvx mcp-repo-graph --repo . (zero-install via uvx). Add it to any MCP client (Claude Code, Cursor, Windsurf, Codex, Gemini CLI, etc.) by configuring the MCP server with the same command.
It replaces the inefficient “grep, read, grep, read” loop by giving the AI a structural map of the codebase. In one benchmark, it reduced tokens from 75K to 30K and time from 4m36s to ~30s.
It handles 20+ languages and frameworks, including cross-stack support (e.g., Go + Angular). The exact list isn’t given, but it uses tree-sitter for broad coverage.
Installation is zero-install with `uvx mcp-repo-graph --repo .`. For Claude Code, use `claude mcp add repo-graph -- uvx mcp-repo-graph --repo .`. For other MCP clients, add the same command to their MCP server configuration.
It works with any MCP client: Cursor, Windsurf, Codex, Gemini CLI, Antigravity, Claude Desktop, and Claude Code.
It offers 11 tools: generate, status, dense_text, flow, trace, impact, neighbours, activate, find, graph_view, and reload.
Production-grade GitLab MCP server with 86 tools — full GitLab control from any AI agent (Claude, Cursor, Zed).
A GitHub MCP Server extension for Zed
MCP servers for the Atlassian products (Bitbucket, Confluence, JIRA) of the Data Center version
Node.js/TypeScript MCP server for Atlassian Bitbucket. Enables AI systems (LLMs) to interact with workspaces, repositories, and pull requests via tools (list, get, comment, search). Connects AI directly to version control workflows through the standard MCP interface.
A Cloudflare-powered MCP (Model Context Protocol) Server that allows you to search and query your GitHub starred repositories using natural language.
コメント