# mega-mcp

> Use this tool when you need to integrate public MEGA folder content into large language models (LLMs) like Claude, enabling them to access and learn from the folder's data. It solves the problem of making external knowledge sources accessible to AI agents, allowing for more informed and accurate responses. The tool takes a public MEGA folder as input and outputs a formatted knowledge source that can be utilized by LLMs.

Canonical page: https://skillsregistry.net/skills/anicodeth-mega-mcp  
JSON: https://api.skillsregistry.net/v1/skills/anicodeth-mega-mcp

## Description

Turn any public MEGA folder into a knowledge source for Claude & other LLMs

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f3dqj1s6pd)
- **Repository:** <https://github.com/Anicodeth/mega-mcp>

## 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": "anicodeth-mega-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/anicodeth-mega-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/anicodeth-mega-mcp/pull`

---
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