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magg MCP Server

sitbon/magg

Score: 55.4 Rank #9284 Agent Framework
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Magg: The MCP Aggregator

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Overview

sitbon/magg is a Python tool licensed under AGPL-3.0. Magg: The MCP Aggregator Topics: aggregator, ai, docker, docker-compose, fastmcp, json-rpc, llm, mcp, mcp-sdk, mcp-server, mcp-servers, modelcontextprotocol, proxy, pydantic, pydantic-v2, python.

Ranked #9284 out of 24846 indexed tools.

Ecosystem

Python AGPL-3.0
aggregatoraidockerdocker-composefastmcpjson-rpcllmmcpmcp-sdkmcp-servermcp-serversmodelcontextprotocolproxypydanticpydantic-v2python

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 144

144 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 25%

2/8 issues closed → many open issues

Contributors 10% 2

2 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 25
Description Brief
License AGPL-3.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

Freshness high impact

Last commit was 44 days ago — a recent commit would boost your freshness score

Issue Health high impact

You have 6 open vs 2 closed issues — triaging stale issues improves health

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AgentRank score for sitbon/magg
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Matched Queries

topic:mcptopic:mcp-server

From the README

# 🧲 **Magg** - *The MCP Aggregator*

[//]: # ([![Tests]&#40;https://img.shields.io/github/actions/workflow/status/sitbon/magg/test.yml?style=flat-square&label=tests&#41;]&#40;https://github.com/sitbon/magg/actions/workflows/test.yml&#41;)

A *[Model Context Protocol](https://modelcontextprotocol.io/)* 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.

## Features

- **Self-Service Tool Management**: LL
Read full README on GitHub →

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