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MCP Server

Workspace Code Search MCP Server

A Python-based local indexing server that creates semantic search capabilities for codebases using ChromaDB, allowing Cursor IDE to perform vector searches on your code without sending data to external services.

22
GitHub Stars
8/23/2025
Last Updated
No Configuration
Please check the documentation below.

README Documentation

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!

Quick Actions

Key Features

Model Context Protocol
Secure Communication
Real-time Updates
Open Source