# Magg

> Use this tool when you need to dynamically extend the capabilities of large language models (LLMs) by aggregating and managing multiple tool servers. MAGG solves the problem of limited LLM capabilities by enabling the discovery, addition, and configuration of external tool servers, providing a flexible interface for inputs and outputs. It is ideal for use cases where LLMs require access to specialized tools or services to enhance their functionality.

Canonical page: https://skillsregistry.net/skills/sitbon-magg  
JSON: https://api.skillsregistry.net/v1/skills/sitbon-magg

## Description

A meta-MCP server that manages and aggregates other MCP servers, enabling LLMs to dynamically extend their own capabilities by searching for, adding, and configuring tool servers.

## Trust

- **Trust score (0–1):** 0.40
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kxeyain2gt)
- **Repository:** <https://github.com/sitbon/magg>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "sitbon-magg"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sitbon-magg` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sitbon-magg/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt