README.md•3.79 kB
# Zoekt MCP Server
A Model Context Protocol (MCP) server that provides code search capabilities powered by [Zoekt](https://github.com/sourcegraph/zoekt), the indexed code search engine used by Sourcegraph.
## Table of Contents
- [Overview](#overview)
- [Features](#features)
- [Prerequisites](#prerequisites)
- [Installation](#installation)
- [Using UV (recommended)](#using-uv-recommended)
- [Using pip](#using-pip)
- [Using Docker](#using-docker)
- [Configuration](#configuration)
- [Required Environment Variables](#required-environment-variables)
- [Optional Environment Variables](#optional-environment-variables)
- [Usage with AI Tools](#usage-with-ai-tools)
- [Cursor](#cursor)
- [MCP Tools](#mcp-tools)
- [search](#search)
- [search_prompt_guide](#search_prompt_guide)
- [fetch_content](#fetch_content)
- [Development](#development)
- [Linting and Formatting](#linting-and-formatting)
## Overview
This MCP server integrates with Zoekt, a text search engine optimized for code repositories. Zoekt provides trigram-based indexing for searches across large codebases, making it suitable for AI assistants that need to find and understand code patterns.
## Features
- **Code Search**: Search across codebases using Zoekt's trigram indexing
- **Advanced Query Language**: Support for regex patterns, file filters, language filters, and boolean operators
- **Repository Discovery**: Find repositories by name and explore their structure
- **Content Fetching**: Browse repository files and directories
- **AI Integration**: Designed for LLM integration with guided search prompts
## Prerequisites
- **Zoekt Instance**: You need access to a running Zoekt search server. See the [Zoekt documentation](https://github.com/sourcegraph/zoekt#installation) for setup instructions.
- **Python 3.10+**: Required for running the MCP server
- **UV** (optional): Modern Python package manager for easier dependency management
## Installation
### Using UV (recommended)
```bash
# Install dependencies
uv sync
# Run the server
uv run python src/main.py
```
### Using pip
```bash
# Create virtual environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install package
pip install -e .
# Run the server
python src/main.py
```
### Using Docker
```bash
# Build the image
docker build -t zoekt-mcp .
# Run the container with default ports
docker run -p 8000:8000 -p 8080:8080 \
-e ZOEKT_API_URL=http://your-zoekt-instance \
zoekt-mcp
# Or run with custom ports
docker run -p 9000:9000 -p 9080:9080 \
-e ZOEKT_API_URL=http://your-zoekt-instance \
-e MCP_SSE_PORT=9000 \
-e MCP_STREAMABLE_HTTP_PORT=9080 \
zoekt-mcp
```
## Configuration
### Required Environment Variables
- `ZOEKT_API_URL`: URL of your Zoekt search instance
### Optional Environment Variables
- `MCP_SSE_PORT`: SSE server port (default: 8000)
- `MCP_STREAMABLE_HTTP_PORT`: HTTP server port (default: 8080)
## Usage with AI Tools
### Cursor
After running the MCP server, add the following to your `.cursor/mcp.json` file:
```json
{
"mcpServers": {
"zoekt": {
"url": "http://localhost:8080/zoekt/mcp/"
}
}
}
```
## MCP Tools
This server provides three powerful tools for AI assistants:
### 🔍 search
Search across indexed codebases using Zoekt's advanced query syntax with support for regex, language filters, and boolean operators.
### 📖 search_prompt_guide
Generate a context-aware guide for constructing effective search queries based on your specific objective.
### 📂 fetch_content
Retrieve file contents or explore directory structures from indexed repositories.
## Development
### Linting and Formatting
```bash
# Check code style
uv run ruff check src/
# Format code
uv run ruff format src/
```