# CERN ROOT MCP Server

> Use this tool when you need to interact with CERN ROOT files using Large Language Models (LLMs), allowing for seamless data analysis and processing. It solves problems related to accessing and manipulating ROOT files, providing a command-line interface (CLI) for efficient data extraction and manipulation. The tool takes LLM inputs and returns processed data outputs, ideal for use cases involving particle physics data analysis and scientific research.

Canonical page: https://skillsregistry.net/skills/mohamedelashri-root-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mohamedelashri-root-mcp

## Description

An MCP server and CLI tool that allow LLMs to interact with CERN ROOT files.

## Trust

- **Trust score (0–1):** 0.40
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zc6kwnerkj)
- **Repository:** <https://github.com/MohamedElashri/root-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": "mohamedelashri-root-mcp"
    }
  }
}
```

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