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Starlark MCP
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Starlark MCP

An MCP server based on the Starlark language, providing secure code execution capabilities for LLM clients, supporting the execution of Python-style scripts and returning execution results
Developer toolsEducation and learning tools#Code execution#Secure sandbox#Scripting language.Go
2 points
6.0K
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Overview

Content Details

Alternatives

What is the Starlark MCP Server?

The Starlark MCP Server is a code execution environment specifically designed for AI assistants. It is based on the Starlark language (a safe scripting language similar to Python), allowing AI models to generate code and execute it in a controlled environment, and then return the results to the AI assistant.

How to use the Starlark MCP Server?

After installing the server, AI assistants (such as Claude, Gemini) can call the execute_starlark tool through the MCP protocol to run code. The code execution results will be output through the print() function and returned to the AI assistant.

Applicable scenarios

Scenarios that require secure execution of AI-generated code, such as mathematical calculations, data processing, algorithm verification, prototype development, and educational demonstrations.

Main features

Secure code execution
Based on the sandbox environment of the Starlark language, ensuring the security and isolation of code execution
MCP protocol integration
Fully compatible with the Model Context Protocol and can be seamlessly integrated with various AI assistants
Extended built-in functions
Provides a rich library of built-in functions to enhance code execution capabilities
Output capture
Automatically captures the output of the print() function, supporting a maximum output content of 16KB
Advantages
Safe and reliable: Specifically designed for executing untrusted code
Easy to integrate: Supports mainstream AI assistants such as Claude and Gemini
Good performance: Developed based on the Go language with high execution efficiency
Developer-friendly: Python-like syntax with low learning cost
Limitations
Output limitation: Maximum output of 16KB, not suitable for processing large amounts of data
Language limitation: Only supports the Starlark language and does not support other programming languages
Function limitation: Compared with a complete programming environment, the built-in functions are limited

How to use

Install the server
Use the Go installation command to download and install the Starlark MCP Server
Register with the AI assistant
Register the server with the AI assistant you are using (Claude Code or Gemini)
Start using
Use the execute_starlark tool in the AI assistant to run Starlark code

Usage examples

Generate fractal images
Use Starlark code to generate mathematical fractal patterns, demonstrating code execution and visualization capabilities
Mathematical calculations
Perform complex mathematical operations or algorithm verification
Data processing
Perform simple processing, filtering, or conversion operations on data

Frequently Asked Questions

What is the difference between Starlark and Python?
Which AI assistants support this server?
Is there a time limit for code execution?
How to view code execution errors?

Related resources

MCP official documentation
Official documentation and specifications of the Model Context Protocol
Starlark language documentation
Official documentation and syntax reference for the Starlark programming language
Built-in function documentation
List and usage of extended built-in functions of the Starlark MCP Server
Project code repository
Source code and latest version of the Starlark MCP Server

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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