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mcp-code-runner

@axliupore

关于 mcp-code-runner

暂无概览

基本信息

分类

开发工具

许可证

MIT

运行时

node

传输方式

stdio

发布者

axliupore

配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块,请前往代码仓库查看安装说明。

代码仓库

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is mcp-code-runner?

mcp-code-runner is a code executor that implements the Model Context Protocol (MCP). It runs code inside Docker containers and returns the execution results. It is designed for developers who need to safely execute code through an MCP-compatible client.

How to use mcp-code-runner?

The README does not provide specific installation or invocation instructions. It only states that Docker must be installed on the host machine because all code execution happens inside Docker containers.

Key features of mcp-code-runner

  • Implements the MCP protocol.
  • Executes code and returns results.
  • Uses Docker for isolated execution.
  • Requires Docker to be installed locally.

Use cases of mcp-code-runner

  • Execute code snippets from an MCP client.
  • Run user-provided code in a sandboxed Docker environment.
  • Integrate code execution capabilities into AI assistants or tools that speak MCP.

FAQ from mcp-code-runner

What does mcp-code-runner do?

It is a code executor that uses Docker to safely run code and return the output. It communicates via the MCP protocol.

Does mcp-code-runner require any special setup?

Yes. You must have Docker installed on the machine where the server runs, because all code execution happens inside Docker containers.

Can mcp-code-runner report execution time or memory usage?

Currently, no. The README lists these as planned features, but they are not yet implemented. Only the code output is returned.

Is mcp-code-runner an MCP server?

Yes. It implements the Model Context Protocol, so it can be used with any MCP-compatible client.

What programming languages does mcp-code-runner support?

The README does not specify supported languages. The only detail given is that execution happens via Docker, so the actual language support likely depends on the Docker image used.

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