mcp-sync 0.4.2

Sync MCP (Model Context Protocol) configurations across AI tools

mcp-sync

Sync MCP (Model Context Protocol) configurations across AI tools.

Overview

mcp-sync is a command-line tool that helps you manage and synchronize MCP server configurations across different AI coding tools like Claude Desktop, Claude Code, Cline, VS Code extensions, and more.

Features

• Auto-discovery: Automatically finds MCP configs on your system
• Manual registration: Add custom config file locations for future-proofing
• Global & project configs: Supports both user-wide and project-specific servers
• Conflict resolution: Smart merging with project configs taking priority
• Dry-run mode: Preview changes before applying them
• Cross-platform: Works on macOS, Windows, and Linux

Installation

Quick Usage (Recommended)

uvx mcp-sync status
uvx mcp-sync sync --dry-run

Persistent Installation

uv tool install mcp-sync
mcp-sync status

Development Install

git clone <repo-url>
cd mcp-sync
./scripts/setup.sh    # Installs dependencies and git hooks automatically

Quick Start

1. Scan for existing configs:

   mcp-sync scan
   

2. Check current status:

   mcp-sync status
   

3. Add a server to global config:

   mcp-sync add-server filesystem
   # Follow prompts to configure
   

4. Preview sync changes:

   mcp-sync diff
   mcp-sync sync --dry-run
   

5. Sync configurations:

   mcp-sync sync
   

Commands

Discovery & Status

• mcp-sync scan - Auto-discover known MCP configs
• mcp-sync status - Show sync status
• mcp-sync diff - Show config differences

Config Location Management

• mcp-sync add-location <path> [--name <alias>] - Register custom config file
• mcp-sync remove-location <path> - Unregister config location
• mcp-sync list-locations - Show all registered config paths

Sync Operations

• mcp-sync sync - Sync all registered configs
• mcp-sync sync --dry-run - Preview changes without applying
• mcp-sync sync --global-only - Sync only global configs
• mcp-sync sync --project-only - Sync only project configs
• mcp-sync sync --location <path> - Sync specific location only

Server Management

• mcp-sync add-server <name> - Add MCP server to sync (interactive prompts)
• mcp-sync add-server <name> --command <cmd> --args <args> --env <vars> --scope <global|project> - Add server with inline parameters
• mcp-sync remove-server <name> - Remove server from sync (interactive prompts)
• mcp-sync remove-server <name> --scope <global|project> - Remove server with inline scope
• mcp-sync list-servers - Show all managed servers

Migration

• mcp-sync vacuum - Import MCP servers from discovered configs
  • --auto-resolve <first|last> choose conflict resolution automatically
  • --skip-existing avoid overwriting servers already in global config

Adding Servers: When adding a server, you need to provide:

• Command: The executable to run (e.g., python, npx, node)
• Arguments: Command-line arguments (comma-separated, optional)
• Environment: Environment variables as KEY=value pairs (comma-separated, optional)
• Scope: Whether to add to global config (synced everywhere) or project config (this project only)

Interactive example:

mcp-sync add-server filesystem
# Prompts for: scope, command, args, env vars

Automated example:

mcp-sync add-server filesystem --command npx --args "-y,@modelcontextprotocol/server-filesystem,/home/user/docs" --scope global

Project Management

• mcp-sync init - Create project .mcp.json
• mcp-sync template - Show template config

Client Management

• mcp-sync list-clients - Show all supported clients and their detection status
• mcp-sync client-info [client-id] - Show detailed client information and paths
• mcp-sync edit-client-definitions - Edit user client definitions to add custom clients

Configuration Hierarchy

mcp-sync uses a three-tier configuration system:

1. Global Config (~/.mcp-sync/global.json)

   • Personal development servers
   • Synced across all tools

2. Project Config (.mcp.json in project root)

   • Project-specific servers
   • Version controlled with your project
   • Takes priority over global config

3. Tool Configs (Auto-discovered locations)

   • Claude Desktop, VS Code, Cline, etc.
   • Updated by sync operations

Supported Tools

mcp-sync uses a configuration-driven approach to support AI tools and editors. Client definitions are managed through JSON configuration files.

Built-in client support:

• Claude Desktop - Official Claude Desktop application
• Claude Code - Claude CLI for code editing
• Cline - VS Code extension for AI assistance
• Roo - Roo VS Code extension for AI assistance
• VS Code User Settings - VS Code global user settings
• Cursor - Cursor AI code editor
• Continue - Continue VS Code extension

Run mcp-sync list-clients to see which clients are detected on your system, or mcp-sync client-info <client-id> for detailed information about specific clients.

Adding custom clients: Users can add their own client definitions by running mcp-sync edit-client-definitions. This creates ~/.mcp-sync/client_definitions.json where custom client configurations can be added. User definitions take precedence over built-in ones, allowing customization and adding support for new tools without modifying the codebase.

Example Workflow

# 1. Initialize project config
mcp-sync init

# 2. Add project-specific server
mcp-sync add-server database
# Choose "2. Project config"
# Command: python
# Args: /path/to/db-server.py
# Env: DB_URL=postgresql://...

# 3. Add global development server
mcp-sync add-server filesystem
# Choose "1. Global config"
# Command: npx
# Args: -y, @modelcontextprotocol/server-filesystem, /home/user

# 4. Sync to all tools
mcp-sync sync

# 5. Check status
mcp-sync status

Configuration File Format

MCP Server Configuration

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/directory"
      ]
    },
    "custom-server": {
      "command": "python",
      "args": ["/path/to/server.py"],
      "env": {
        "API_KEY": "your-api-key"
      }
    }
  }
}

Development

Requirements

• Python 3.12+
• uv package manager

Setup

git clone <repo-url>
cd mcp-sync
uv sync
uv pip install -e .

Code Quality

uv run ruff check .     # Linting
uv run ruff format .    # Formatting
uv run pytest          # Tests (when available)

Running Tests

Tests require the package to be on PYTHONPATH. Either install it in editable mode:

uv pip install -e .
uv run pytest

or set PYTHONPATH manually when invoking pytest:

PYTHONPATH=$PWD uv run pytest

License

[License details here]

Contributing

[Contributing guidelines here]