Local Code Indexing for Cursor

Name: Local Code Indexing for Cursor
Author: LuotoCompany

@LuotoCompany

代码仓库

关于 Local Code Indexing for Cursor

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

基本信息

分类

开发工具

运行时

python

传输方式

stdio

发布者

LuotoCompany

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

未检测到工具

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概览

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