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Riza Code Interpreter MCP Server

Developer ToolsJavaScript
Isolated code interpreter for LLM-generated code
Available Tools

create_tool

Write code and save it as a reusable tool using the Riza Tools API

fetch_tool

Fetch saved Riza tools, including their source code

execute_tool

Execute a saved tool securely on Riza's code interpreter API

edit_tool

Edit an existing saved tool

list_tools

List available saved tools

execute_code

Execute arbitrary code safely on Riza's code interpreter API without saving it as a tool

Riza provides a secure, isolated environment for executing code generated by LLMs. This MCP server implementation wraps the Riza API and presents its functionality as individual tools that can be used by LLMs. With Riza, you can safely execute arbitrary code, create and manage reusable tools, and build more powerful AI applications without security concerns.

Riza Code Interpreter

Riza offers a secure isolated environment for executing code generated by Large Language Models. This MCP server implementation provides a safe way to run code without security concerns, wrapping the Riza API as individual tools that your LLM can use.

Installation

To use the Riza MCP server with Claude Desktop or other MCP clients, you'll need to:

  1. Create a free Riza account and get an API key from the Riza Dashboard
  2. Configure your MCP client with the installation details below
  3. Replace "your-api-key" with your actual Riza API key

The server is available as an npm package that can be run directly with npx.

Configuration

The Riza MCP server allows your LLM to:

  • Write and save code as reusable tools
  • Execute code safely in an isolated environment
  • Fetch, edit, and manage saved tools
  • Run arbitrary code without saving it

This enables powerful code execution capabilities while maintaining security, as all code runs in Riza's isolated environment rather than on your local machine.

Usage

Once installed, your LLM will have access to all the Riza tools automatically. You can ask it to:

  • Write and execute Python, JavaScript, or other supported code
  • Create reusable tools that can be called later
  • Modify existing tools
  • List available tools

The LLM will handle the interaction with the Riza API through the MCP server.

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