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MAGG

by sitbon
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Python
Hybrid
AGPL 3.0
108

🧲 Magg - The MCP Aggregator

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Tests Docker

A Model Context Protocol server that manages, aggregates, and proxies other MCP servers, enabling LLMs to dynamically extend their own capabilities.

What is Magg?

Magg is a meta-MCP server that acts as a central hub for managing multiple MCP servers. It provides tools that allow LLMs to:

  • Search for new MCP servers and discover setup instructions

  • Add and configure MCP servers dynamically

  • Enable/disable servers on demand

  • Aggregate tools from multiple servers under unified prefixes

  • Persist configurations across sessions

Think of Magg as a "package manager for LLM tools" - it lets AI assistants install and manage their own capabilities at runtime.

Related MCP server: mcp-llm

Features

  • Self-Service Tool Management: LLMs can search for and add new MCP servers without human intervention.

  • Dynamic Configuration Reloading: Automatically detects and applies config changes without restarting.

  • Automatic Tool Proxying: Tools from added servers are automatically exposed with configurable prefixes.

  • ProxyMCP Tool: A built-in tool that proxies the MCP protocol to itself, for clients that don't support notifications or dynamic tool updates (which is most of them currently).

  • Smart Configuration: Uses MCP sampling to intelligently configure servers from just a URL.

  • Persistent Configuration: Maintains server configurations in .magg/config.json.

  • Multiple Transport Support: Works with stdio, HTTP, and in-memory transports.

  • Bearer Token Authentication: Optional RSA-based JWT authentication for secure HTTP access.

  • Docker Support: Pre-built images for production, staging, and development workflows.

  • Health Monitoring: Built-in magg_status and magg_check tools for server health checks.

  • Real-time Messaging: Full support for MCP notifications and messages - receive tool/resource updates and progress notifications from backend servers.

  • Python 3.12+ Support: Fully compatible with Python 3.12 and 3.13.

  • Kit Management: Bundle related MCP servers into kits for easy loading/unloading as a group.

  • MBro CLI: Included MCP Browser for interactive exploration and management of MCP servers, with script support for automation.

Installation

Prerequisites

  • Python 3.12 or higher (3.13+ recommended)

  • uv (recommended) - Install from astral.sh/uv

Quick Install (Recommended)

The easiest way to install Magg is as a tool using uv:

# Install Magg as a tool uv tool install magg # Run with stdio transport (for Claude Desktop, Cline, etc.) magg serve # Run with HTTP transport (for system-wide access) magg serve --http

Alternative: Run Directly from GitHub

You can also run Magg directly from GitHub without installing:

# Run with stdio transport uvx --from git+https://github.com/sitbon/magg.git magg # Run with HTTP transport uvx --from git+https://github.com/sitbon/magg.git magg serve --http

Local Development

For development, clone the repository and install in editable mode:

# Clone the repository git clone https://github.com/sitbon/magg.git cd magg # Install in development mode with dev dependencies uv sync --dev # Or with poetry poetry install --with dev # Run the CLI magg --help

Docker

Magg is available as pre-built Docker images from GitHub Container Registry:

# Run production image (WARNING log level) docker run -p 8000:8000 ghcr.io/sitbon/magg:latest # Run with authentication (mount or set private key) docker run -p 8000:8000 \ -v ~/.ssh/magg:/home/magg/.ssh/magg:ro \ ghcr.io/sitbon/magg:latest # Or with environment variable docker run -p 8000:8000 \ -e MAGG_PRIVATE_KEY="$(cat ~/.ssh/magg/magg.key)" \ ghcr.io/sitbon/magg:latest # Run beta image (INFO log level) docker run -p 8000:8000 ghcr.io/sitbon/magg:beta # Run with custom config directory docker run -p 8000:8000 \ -v /path/to/config:/home/magg/.magg \ ghcr.io/sitbon/magg:latest

Docker Image Strategy

Magg uses a multi-stage Docker build with three target stages:

  • pro: Minimal image with WARNING log level, suitable for production deployments

  • pre: Same as production but with INFO log level for staging/testing (available but not published)

  • dev: Includes development dependencies and DEBUG logging for troubleshooting

Images are automatically published to GitHub Container Registry with the following tags:

  • Version tags (from main branch): 1.2.3, 1.2, dev, 1.2-dev, 1.2-dev-py3.12, etc.

  • Branch tags (from beta branch): beta, beta-dev

  • Python-specific dev tags: beta-dev-py3.12, beta-dev-py3.13, etc.

Docker Compose

For easier management, use Docker Compose:

# Clone the repository git clone https://github.com/sitbon/magg.git cd magg # Run production version docker compose up magg # Run staging version (on port 8001) docker compose up magg-beta # Run development version (on port 8008) # This uses ./.magg/config.json for configuration docker compose up magg-dev # Build and run with custom registry REGISTRY=my.registry.com docker compose build REGISTRY=my.registry.com docker compose push

See compose.yaml and .env.example for configuration options.

Usage

Running Magg

Magg can run in three modes:

  1. Stdio Mode (default) - For integration with Claude Desktop, Cline, Cursor, etc.:

    magg serve

  2. HTTP Mode - For system-wide access or web integrations:

    magg serve --http --port 8000

  3. Hybrid Mode - Both stdio and HTTP simultaneously:

    magg serve --hybrid magg serve --hybrid --port 8080 # Custom port

    This is particularly useful when you want to use Magg through an MCP client while also allowing HTTP access. For example:

    With Claude Code:

    # Configure Claude Code to use Magg in hybrid mode claude mcp add magg -- magg serve --hybrid --port 42000

    With mbro:

    # mbro hosts Magg and connects via stdio mbro connect magg "magg serve --hybrid --port 8080" # Other mbro instances can connect via HTTP mbro connect magg http://localhost:8080

Available Tools

Once Magg is running, it exposes the following tools to LLMs:

  • magg_list_servers - List all configured MCP servers

  • magg_add_server - Add a new MCP server

  • magg_remove_server - Remove a server

  • magg_enable_server / magg_disable_server - Toggle server availability

  • magg_search_servers - Search for MCP servers online

  • magg_list_tools - List all available tools from all servers

  • magg_smart_configure - Intelligently configure a server from a URL

  • magg_analyze_servers - Analyze configured servers and suggest improvements

  • magg_status - Get server and tool statistics

  • magg_check - Health check servers with repair actions (report/remount/unmount/disable)

  • magg_reload_config - Reload configuration from disk and apply changes

  • magg_load_kit - Load a kit and its servers into the configuration

  • magg_unload_kit - Unload a kit and optionally its servers from the configuration

  • magg_list_kits - List all available kits with their status

  • magg_kit_info - Get detailed information about a specific kit

Quick Inspection with MBro

Magg includes the mbro (MCP Browser) CLI tool for interactive exploration. A unique feature is the ability to connect to Magg in stdio mode for quick inspection:

# Connect mbro to a Magg instance via stdio (no HTTP server needed) mbro connect local-magg magg serve # Now inspect your Magg setup from the MCP client perspective mbro:local-magg> call magg_status mbro:local-magg> call magg_list_servers

MBro also supports:

  • Scripts: Create .mbro files with commands for automation

  • Shell-style arguments: Use key=value syntax instead of JSON

  • Tab completion: Rich parameter hints after connecting

See the MBro Documentation for details.

Authentication

Magg supports optional bearer token authentication to secure access:

Quick Start

  1. Initialize authentication (creates RSA keypair):

    magg auth init

  2. Generate a JWT token for clients:

    # Generate token (displays on screen) magg auth token # Export as environment variable export MAGG_JWT=$(magg auth token -q)

  3. Connect with authentication:

    • Using MaggClient (auto-loads from MAGG_JWT):

      from magg.client import MaggClient async def main(): async with MaggClient("http://localhost:8000/mcp") as client: tools = await client.list_tools()

    • Using FastMCP with explicit token:

      from fastmcp import Client from fastmcp.client import BearerAuth jwt_token = "your-jwt-token-here" async with Client("http://localhost:8000/mcp", auth=BearerAuth(jwt_token)) as client: tools = await client.list_tools()

Key Management

  • Keys are stored in ~/.ssh/magg/ by default

  • Private key can be set via MAGG_PRIVATE_KEY environment variable

  • To disable auth, remove keys or set non-existent key_path in .magg/auth.json

Authentication Commands

  • magg auth init - Initialize authentication (generates RSA keypair)

  • magg auth status - Check authentication configuration

  • magg auth token - Generate JWT token

  • magg auth public-key - Display public key (for verification)

  • magg auth private-key - Display private key (for backup)

See examples/authentication.py for more usage patterns.

Configuration

Magg stores its configuration in .magg/config.json in your current working directory. This allows for project-specific tool configurations.

Dynamic Configuration Reloading

Magg supports automatic configuration reloading without requiring a restart:

  • Automatic file watching: Detects changes to config.json and reloads automatically (uses watchdog when available)

  • SIGHUP signal: Send kill -HUP <pid> to trigger immediate reload (Unix-like systems)

  • MCP tool: Use magg_reload_config tool from any MCP client

  • Smart transitions: Only affected servers are restarted during reload

Configuration reload is enabled by default. You can control it with:

  • MAGG_AUTO_RELOAD=false - Disable automatic reloading

  • MAGG_RELOAD_POLL_INTERVAL=5.0 - Set polling interval in seconds (when watchdog unavailable)

See Configuration Reload Documentation for detailed information.

Environment Variables

Magg supports several environment variables for configuration:

  • MAGG_CONFIG_PATH - Path to config file (default: .magg/config.json)

  • MAGG_LOG_LEVEL - Logging level: DEBUG, INFO, WARNING, ERROR, CRITICAL (default: INFO)

  • MAGG_STDERR_SHOW=1 - Show stderr output from subprocess MCP servers (default: suppressed)

  • MAGG_AUTO_RELOAD - Enable/disable config auto-reload (default: true)

  • MAGG_RELOAD_POLL_INTERVAL - Config polling interval in seconds (default: 1.0)

  • MAGG_READ_ONLY=true - Run in read-only mode

  • MAGG_SELF_PREFIX - Prefix for Magg tools (default: "magg"). Tools will be named as {prefix}{sep}{tool} (e.g., magg_list_servers)

  • MAGG_PREFIX_SEP - Separator between prefix and tool name (default: "_")

Example configuration:

{ "servers": { "calculator": { "name": "calculator", "source": "https://github.com/executeautomation/calculator-mcp", "command": "npx @executeautomation/calculator-mcp", "prefix": "calc", "enabled": true } } }

Adding Servers

Servers can be added in several ways:

  1. Using the LLM (recommended):

    "Add the Playwright MCP server" "Search for and add a calculator tool"

  2. Manual configuration via magg_add_server:

    name: playwright url: https://github.com/microsoft/playwright-mcp command: npx @playwright/mcp@latest prefix: pw

  3. Direct config editing: Edit .magg/config.json directly

Real-time Notifications with MaggClient

The MaggClient now supports real-time notifications from backend MCP servers:

from magg import MaggClient, MaggMessageHandler # Using callbacks handler = MaggMessageHandler( on_tool_list_changed=lambda n: print("Tools changed!"), on_progress=lambda n: print(f"Progress: {n.params.progress}") ) async with MaggClient("http://localhost:8000/mcp", message_handler=handler) as client: # Client will receive notifications while connected tools = await client.list_tools()

See Messaging Documentation for advanced usage including custom message handlers.

Kit Management

Magg supports organizing related MCP servers into "kits" - bundles that can be loaded and unloaded as a group:

# List available kits magg kit list # Load a kit (adds all its servers) magg kit load web-tools # Unload a kit (removes servers only in that kit) magg kit unload web-tools # Get information about a kit magg kit info web-tools

You can also manage kits programmatically through Magg's tools when connected via an MCP client:

  • magg_list_kits - List all available kits

  • magg_load_kit - Load a kit and its servers

  • magg_unload_kit - Unload a kit

  • magg_kit_info - Get detailed kit information

Kits are JSON files stored in ~/.magg/kit.d/ or .magg/kit.d/ that define a collection of related servers. See Kit Documentation for details on creating and managing kits.

MBro Scripts

Automate common workflows with MBro scripts:

# Create a setup script cat > setup.mbro <<EOF # Connect to Magg and check status connect magg magg serve call magg_status call magg_list_servers # Add a new server if needed call magg_add_server name=calculator source="npx -y @modelcontextprotocol/server-calculator" EOF # Run the script mbro -x setup.mbro

Documentation

For more documentation, see docs/.

Appearances

Magg appears in multiple locations. Please feel free to submit a PR to add more appearances below in alphabetical order.

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