mcp-server-code-runner
Code Runner MCP 服务器
MCP 服务器用于运行代码片段并显示结果。
它支持运行多种编程语言: JavaScript、PHP、Python、Perl、Perl 6、Ruby、Go、Lua、Groovy、PowerShell、BAT/CMD、BASH/SH、F# Script、C# Script、VBScript、TypeScript、CoffeeScript、Scala、Swift、Julia、Crystal、OCaml Script、R、AppleScript、Elixir、Clojure、Racket、Scheme、AutoHotkey、AutoIt、Kotlin Script、Dart、Haskell、Ni、Lisp、Kit、V、SCSS、Sass 。完整列表可以在这里的constants.ts中查看。
设置
VS Code 的 npx
使用以下按钮在 VS Code 中安装 Code Runner MCP 服务器:
或者,您可以在settings.json中添加配置:
{
"mcp": {
"inputs": [],
"servers": {
"mcp-server-code-runner": {
"command": "npx",
"args": [
"-y",
"mcp-server-code-runner@latest"
],
}
}
}
}克劳德桌面版的 npx
claude_desktop_config.json中的配置:
{
"mcpServers": {
"mcp-server-code-runner": {
"command": "npx",
"args": [
"-y",
"mcp-server-code-runner@latest"
],
}
}
}Docker
以 VS Code 为例,使用以下按钮在 VS Code 中安装 Code Runner MCP 服务器:
或者,您可以在settings.json中添加配置:
{
"mcp": {
"inputs": [],
"servers": {
"mcp-server-code-runner": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"formulahendry/mcp-server-code-runner"
]
}
}
}
}Widnows 上的 npx 问题
在 Windows 上, MCP 服务器可能无法连接npx 。
您可以尝试以下两种解决方法:
使用bunx
安装Bun 。
在配置中,将
npx更改为bunx。
使用 cmd
以下是settings.json中的 VS Code 配置:
{
"mcp": {
"inputs": [],
"servers": {
"mcp-server-code-runner": {
"command": "cmd",
"args": [
"/c",
"npx",
"-y",
"mcp-server-code-runner@latest"
],
}
}
}
}Related MCP server: MCP Expr Lang
使用可流式 HTTP 传输运行
npm install -g mcp-server-code-runner@latest
mcp-server-code-runner --transport http用法
在使用 Code Runner MCP Server 之前,请确保您要运行的编程语言的解释器或编译器已在PATH环境变量中设置。
在已配置 Code Runner MCP Server 的应用程序中尝试以下提示:
Run the JavaScript Code: console.log(5+6)Where is temporary folder in my OS? Use run-code toolHow many CPUs do I have in my machine? Use run-code tool


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Available Tools
1 toolrun-codeC
Run code snippet and return the result.
| Name | Required | Description | Default |
|---|---|---|---|
| code | Yes | Code Snippet | |
| languageId | Yes | Language ID |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions running code and returning results but lacks critical details like execution environment, security implications, timeout limits, error handling, or resource constraints, which are essential for safe and effective use.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose without unnecessary words. It is appropriately sized for the tool's function, making it highly concise and well-structured.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of code execution (which involves security, performance, and error handling), the description is insufficient. With no annotations, no output schema, and minimal behavioral details, it fails to provide complete context for safe and informed use, especially for a tool that could have significant side effects.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description does not add meaning beyond the input schema, which has 100% coverage with clear descriptions for both parameters (code and languageId). Since the schema fully documents the parameters, the baseline score of 3 is appropriate, as the description provides no additional semantic context.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Run code snippet and return the result' clearly states the action (run) and resource (code snippet) with a specific outcome (return result). It distinguishes the tool's function effectively, though it lacks sibling differentiation since no sibling tools exist, making a 5 unnecessary.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool, such as for testing, debugging, or specific contexts, and offers no alternatives or exclusions. It only states what the tool does without usage context, leaving the agent to infer applicability.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- First observed
run-code
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool 'run-code' has a clearly distinct and singular purpose.
The single tool name 'run-code' follows a clear verb_noun pattern. Since there is only one tool, consistency is inherently perfect with no deviations.
A single tool for a code runner server feels thin and limited in scope. It suggests the server may not fully cover the domain, as typical code execution might benefit from additional tools like listing environments or managing sessions.
The tool surface is severely incomplete for a code runner domain. It only provides execution without supporting operations like listing available languages, checking code syntax, or managing execution environments, which are common in such contexts.
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