developer-tools

Riza

by riza-io

Riza offers a secure bridge between LLMs and a sandboxed code interpreter, allowing safe code execution and persistent t

Provides a secure bridge between LLMs and Riza's isolated code interpreter API, enabling writing, saving, editing, and executing code safely in a sandboxed environment with persistent tool management across conversations.

github stars

12

Isolated sandbox executionPersistent tools across sessionsNo local code execution needed

best for

  • / LLM applications requiring safe code execution
  • / Building persistent coding assistants
  • / Prototyping without local environment setup
  • / Educational coding environments

capabilities

  • / Execute arbitrary code in isolated sandbox
  • / Create and save reusable code tools
  • / Edit existing saved tools
  • / Fetch tool source code for modification
  • / List all available saved tools
  • / Run code safely without local execution risks

what it does

Provides a secure sandboxed environment for LLMs to write, save, and execute code through Riza's isolated code interpreter API. Tools persist across conversations for reuse.

about

Riza is an official MCP server published by riza-io that provides AI assistants with tools and capabilities via the Model Context Protocol. Riza offers a secure bridge between LLMs and a sandboxed code interpreter, allowing safe code execution and persistent t It is categorized under developer tools.

how to install

You can install Riza in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Riza is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Riza offers a secure bridge between LLMs and a sandboxed code interpreter, allowing safe code execution and persistent t

TL;DR: Provides a secure sandboxed environment for LLMs to write, save, and execute code through Riza's isolated code interpreter API. Tools persist across conversations for reuse.

What it does

  • Execute arbitrary code in isolated sandbox
  • Create and save reusable code tools
  • Edit existing saved tools
  • Fetch tool source code for modification
  • List all available saved tools
  • Run code safely without local execution risks

Best for

  • LLM applications requiring safe code execution
  • Building persistent coding assistants
  • Prototyping without local environment setup
  • Educational coding environments

Highlights

  • Isolated sandbox execution
  • Persistent tools across sessions
  • No local code execution needed

FAQ

What is the Riza MCP server?
Riza is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Riza?
This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    Riza is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Piyush G· Sep 9, 2024

    We evaluated Riza against two servers with overlapping tools; this profile had the clearer scope statement.

  • Chaitanya Patil· Aug 8, 2024

    Useful MCP listing: Riza is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Sakshi Patil· Jul 7, 2024

    Riza reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Ganesh Mohane· Jun 6, 2024

    I recommend Riza for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Oshnikdeep· May 5, 2024

    Strong directory entry: Riza surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dhruvi Jain· Apr 4, 2024

    Riza has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Rahul Santra· Mar 3, 2024

    According to our notes, Riza benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Pratham Ware· Feb 2, 2024

    We wired Riza into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yash Thakker· Jan 1, 2024

    Riza is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.