# Riza

> Use this tool when you need to securely execute code generated by Large Language Models (LLMs) or require a sandboxed environment for code execution. The Riza MCP Server provides a secure bridge between LLMs and a code interpreter API, allowing AI assistants to write, save, and execute code while maintaining a library of reusable tools. Ideal for workflows involving LLM-generated content, it offers flexible and secure code execution with persistent tool management across conversations.

Canonical page: https://skillsregistry.net/skills/riza  
JSON: https://api.skillsregistry.net/v1/skills/riza

## Description

The Riza MCP Server provides a secure bridge between LLMs and Riza's isolated code interpreter API, enabling AI assistants to write, save, edit, and execute code safely. Built as a wrapper around the Riza API, it exposes functionality through discrete tools that allow LLMs to create reusable code tools, manage a library of saved tools, and execute arbitrary code in a sandboxed environment. This implementation is particularly valuable for workflows requiring secure code execution from LLM-generated content, offering both the flexibility of running arbitrary code and the convenience of maintaining persistent tools across conversations.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/riza)
- **Repository:** <https://github.com/riza-io/riza-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": "riza"
    }
  }
}
```

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