広告掲載
MCP.so
ログイン

Local Code Indexing for Cursor MCP Server

@LuotoCompany

リポジトリ

基本情報

カテゴリ

開発者ツール

トランスポート

stdio

作者

LuotoCompany

Local Code Indexing for Cursor MCP Server について

ChromaDB-powered local indexing support for Cursor, exposed as an MCP server

Local Code Indexing for Cursor MCP Server の設定

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": {
    "workspace-code-search": {
      "type": "http",
      "url": "http://localhost:8978/sse"
    }
  }
}

Local Code Indexing for Cursor MCP Server のツール

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。

上のボタンでサーバーのエンドポイントに接続し、ツール一覧を取得できます。

概要

What is Local Code Indexing for Cursor?

An experimental Python-based server that locally indexes codebases using ChromaDB and provides a semantic search tool via an MCP (Model Context Protocol) server for tools like Cursor.

How to use Local Code Indexing for Cursor?

Clone the repository, create a .env file with PROJECTS_ROOT and FOLDERS_TO_INDEX, then start the server with docker-compose up -d. Configure Cursor by adding the server URL http://localhost:8978/sse to ~/.cursor/mcp.json. Optionally create a .cursorrules file to prompt the Cursor Agent to use the @search_code tool.

Key features of Local Code Indexing for Cursor

  • Fully local code indexing using ChromaDB
  • Semantic code search via MCP for Cursor
  • Configurable project root and folders to index
  • Docker-based deployment for easy setup
  • SSE transport on port 8978

Use cases of Local Code Indexing for Cursor

  • Enable Cursor Agent to semantically search your codebase instead of relying on grep
  • Quickly find relevant code across multiple projects without leaving the IDE
  • Offline, privacy-preserving code search that never sends code to external servers

よくある質問

1

What is Local Code Indexing for Cursor?

It is an experimental Python server that indexes your local projects using ChromaDB and exposes a semantic search tool via MCP for use in Cursor.

2

How do I configure which folders are indexed?

Set `PROJECTS_ROOT` and `FOLDERS_TO_INDEX` in your `.env` file before starting the server.

3

Does it require Docker?

Yes, the recommended way to run the server is using Docker Compose (`docker-compose up -d`).

4

How do I connect it to Cursor?

Edit `~/.cursor/mcp.json` to include the server URL `http://localhost:8978/sse` under `mcpServers.workspace-code-search`, then restart Cursor.

5

Where does the indexed data live?

The README does not specify the storage location, but since it uses ChromaDB and runs locally, data is stored on your machine.

コメント

「開発者ツール」の他のコンテンツ

Modelglass

Modelglass

Modelglass turns "which model should I use?" into a lookup instead of a guess. Seven tools give your agent live pricing across image, language, video, and audio models. Sourced and versioned, not scraped once and forgott

1

Collide MCP

Lithometric Inc. | Collide Inc.

Collide is the multiplayer layer for AI coding agents, and it pays for itself. Expert orchestration across every agent on your repo saves teams tens to hundreds of dollars a day in token burn. Run Claude Code, Codex, Cu

Vibgrate MCP

Vibgrate

Query your team's drift, vulnerability, and migration data from any AI assistant. Vibgrate MCP connects Cursor, Claude, ChatGPT, Windsurf, or VS Code to Vibgrate Cloud: 51 tools for DriftScores, CVEs and EOL runtimes, up

3

Official Porkbun MCP Server

Porkbun LLC

Official Porkbun MCP server, maintained by Porkbun. Check domain availability and pricing, register, renew and transfer domains, and manage DNS records, nameservers, URL forwarding, glue records, DNSSEC and domain contac

32

Testiny MCP server

Mategra GmbH

Testiny is a test case management platform. Its remote MCP server lets AI assistants such as Claude, ChatGPT, GitHub Copilot, Cursor and other MCP clients work directly with your Testiny data. Browse and search projects,

広告掲載