Local Code Indexing for Cursor MCP Server

一個基於 Python 的伺服器，使用 ChromaDB 在本機索引程式碼庫，為 Cursor 等工具提供語意搜尋功能。

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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.

Setup

  1. Clone and enter the repository:

    git clone <repository-url>
cd cursor-local-indexing

  2. Create a .env file by copying .env.example:

    cp .env.example .env

  3. Configure your .env file:

    PROJECTS_ROOT=~/your/projects/root    # Path to your projects directory
FOLDERS_TO_INDEX=project1,project2    # Comma-separated list of folders to index

    Example:

    PROJECTS_ROOT=~/projects
FOLDERS_TO_INDEX=project1,project2

  4. Start the indexing server:

    docker-compose up -d

  5. Configure Cursor to use the local search server: Create or edit ~/.cursor/mcp.json:

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

  6. Restart Cursor IDE to apply the changes.

The server will start indexing your specified projects, and you'll be able to use semantic code search within Cursor when those projects are active.

  1. Open a project that you configured as indexed.

Create a .cursorrules file and add the following:

<instructions>
For any request, use the @search_code tool to check what the code does.
Prefer that first before resorting to command line grepping etc.
</instructions>
  1. Start using the Cursor Agent mode and see it doing local vector searches!