article

README

Code Context MCP Server

A Model Context Protocol (MCP) server for providing code context from local git repositories. This server allows you to:

Clone git repositories locally
Process branches and files
Generate embeddings for code chunks
Perform semantic search over code

Features

Uses local git repositories instead of GitHub API
Stores data in SQLite database
Splits code into semantic chunks
Generates embeddings for code chunks using Ollama
Provides semantic search over code

Prerequisites

Node.js (v16+)
Git
Ollama with an embedding model

Installation

# Clone the repository
git clone <repository-url>
cd code-context-mcp

# Install dependencies
npm install

# Build the project
npm run build

Configuration

Set the following environment variables:

DATA_DIR: Directory for SQLite database (default: '~/.codeContextMcp/data')
REPO_CACHE_DIR: Directory for cloned repositories (default: '~/.codeContextMcp/repos')

Using Ollama

For faster and more powerful embeddings, you can use Ollama:

# Install Ollama from https://ollama.ai/

# Pull an embedding model (unclemusclez/jina-embeddings-v2-base-code is recommended)
ollama pull unclemusclez/jina-embeddings-v2-base-code

Usage

Using with Claude Desktop

Add the following configuration to your Claude Desktop configuration file (claude_desktop_config.json):

{
  "mcpServers": {
    "code-context-mcp": {
      "command": "/path/to/your/node",
      "args": ["/path/to/code-context-mcp/dist/index.js"]
    }
  }
}

Tools

The server provides the following tool:

queryRepo

Clones a repository, processes code, and performs semantic search:

{
  "repoUrl": "https://github.com/username/repo.git",
  "branch": "main", // Optional - defaults to repository's default branch
  "query": "Your search query",
  "keywords": ["keyword1", "keyword2"], // Optional - filter results by keywords
  "filePatterns": ["**/*.ts", "src/*.js"], // Optional - filter files by glob patterns
  "excludePatterns": ["**/node_modules/**"], // Optional - exclude files by glob patterns
  "limit": 10 // Optional - number of results to return, default: 10
}

The branch parameter is optional. If not provided, the tool will automatically use the repository's default branch.

The keywords parameter is optional. If provided, the results will be filtered to only include chunks that contain at least one of the specified keywords (case-insensitive matching).

The filePatterns and excludePatterns parameters are optional. They allow you to filter which files are processed and searched using glob patterns (e.g., **/*.ts for all TypeScript files).

Database Schema

The server uses SQLite with the following schema:

repository: Stores information about repositories
branch: Stores information about branches
file: Stores information about files
branch_file_association: Associates files with branches
file_chunk: Stores code chunks and their embeddings

Debugging

MAC Mx Series - ARM Architecture Issues

When installing better-sqlite3 on Mac M-series chips (ARM architecture), if you encounter errors like "mach-o file, but is an incompatible architecture (have 'x86_64', need 'arm64e' or 'arm64')", you need to ensure the binary matches your architecture. Here's how to resolve this issue:

# Check your Node.js architecture
node -p "process.arch"

# If it shows 'arm64', but you're still having issues, try:
npm rebuild better-sqlite3 --build-from-source

# Or for a clean install:
npm uninstall better-sqlite3
export npm_config_arch=arm64
export npm_config_target_arch=arm64
npm install better-sqlite3 --build-from-source

If you're using Rosetta, make sure your entire environment is consistent. Your error shows x86_64 binaries being built but your system needs arm64. For persistent configuration, add to your .zshrc or .bashrc:

export npm_config_arch=arm64
export npm_config_target_arch=arm64

Testing Ollama Embeddings

curl http://localhost:11434/api/embed -d '{"model":"unclemusclez/jina-embeddings-v2-base-code","input":"Llamas are members of the camelid family"}' curl http://127.0.01:11434/api/embed -d '{"model":"unclemusclez/jina-embeddings-v2-base-code","input":"Llamas are members of the camelid family"}' curl http://[::1]:11434/api/embed -d '{"model":"unclemusclez/jina-embeddings-v2-base-code","input":"Llamas are members of the camelid family"}'

License

MIT

代码上下文MCP