Local Code Indexing for Cursor

A Python-based server that locally indexes codebases using ChromaDB to provide semantic search for tools like Cursor.

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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!

Server Terkait