# Riza MCP Server

> Use this tool when you need to securely execute code and manage reusable tools for Large Language Models (LLMs). The Riza MCP Server enables isolated code interpretation, solving security and management problems for LLMs. It accepts code inputs and provides execution outputs, ideal for use cases requiring secure and controlled code execution in LLM applications.

Canonical page: https://skillsregistry.net/skills/ampcome-mcps-riza-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ampcome-mcps-riza-mcp

## Description

Enables LLMs to securely execute code and manage reusable tools using Riza's isolated code interpreter API.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h9dxmcyasz)
- **Repository:** <https://github.com/ampcome-mcps/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": "ampcome-mcps-riza-mcp"
    }
  }
}
```

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