# root_mcp_server

> root_mcp_server — omazapa-root-mcp-server. Use this tool when you need to execute Python and C++ code for data analysis and visualization, leveraging ROOT's PyROOT interface for tasks such as scientific computing and data processing. It solves problems related to code execution, graphics rendering, and error detection for LLMs and MCP clients. The tool accepts code inputs and returns execution results, making it suitable for applications requiring seamless integration of Python and C++ code execution.

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

## Description

Enables LLMs and MCP clients to execute Python and C++ code using ROOT's PyROOT interface, with support for graphics and error detection.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **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/ulh92yx1q9)
- **Repository:** <https://github.com/omazapa/root_mcp_server>

## 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": "omazapa-root-mcp-server"
    }
  }
}
```

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