runtime-mcp-server
Runtime Diagnostic MCP Server (runtime-mcp-server)
一个本地 Model Context Protocol (MCP) 服务器,为 AI 编程代理(如 OpenAI Codex CLI)提供本地开发环境的实时运行时诊断、进程监控和日志分析。
🎯 目的
AI 编程代理擅长检查静态代码,但对运行时执行状态视而不见。本服务器通过为 AI 代理提供可编程的、只读的工具,使其能够观察运行中的进程、分析崩溃日志、检查活跃端口并监控系统资源,从而弥合了这一差距。
Related MCP server: DevTwin MCP
🛠️ 核心工具(v1 特性)
tail_app_logs描述: 读取并追踪活跃后台开发服务器(
npm run dev、python、docker)最新的 stdout/stderr 流或崩溃日志。目标: 自动将原始堆栈跟踪直接交给 Codex,无需手动复制粘贴。
inspect_ports描述: 扫描活跃的本地网络端口(例如 3000、8080),并识别占用端口的进程 ID(PID)。
目标: 自动解决
EADDRINUSE/ “端口已被占用”错误,并能安全地向僵尸进程发送信号。
get_process_metrics描述: 监控特定本地应用进程的 CPU 和内存使用情况。
目标: 帮助 Codex 实时检测无限循环、内存泄漏和失控的后台脚本。
capture_network_errors描述: 检查本地失败的 HTTP/gRPC 响应、CORS 响应头以及状态码。
目标: 定位前后端本地 API 连接故障的根本原因。
🏗️ 技术栈
语言: TypeScript / Node.js
协议: Model Context Protocol (MCP),基于
@modelcontextprotocol/sdk传输层: 标准输入/输出(
stdio)系统 API:
child_process、fs/promises、psutil/ 系统进程工具
🚀 快速开始
安装依赖并编译 TypeScript 源码:
npm install
npm run build启动 MCP 服务器:
npm start初始服务器通过 stdio 连接,并已做好添加诊断工具的准备。
🚀 Codex CLI 集成
在 ~/.codex/config.json(或 Codex 客户端设置)中进行配置:
{
"mcpServers": {
"runtime-diagnostics": {
"command": "node",
"args": ["/Users/USERNAME/Documents/Codex/runtime-mcp-server/build/index.js"]
}
}
}📋 开发路线图
初始化 TypeScript 与
@modelcontextprotocol/sdk项目实现
inspect_ports工具实现
tail_app_logs工具实现
get_process_metrics工具使用 Codex CLI 添加集成测试
Available Tools
1 toolinspect_portsA
Inspects active local network ports to determine which process ID (PID) and application are occupying a port.
| Name | Required | Description | Default |
|---|---|---|---|
| port | No | Optional local port to inspect. Must be an integer from 1 to 65535. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full transparency burden. 'Inspects' signals a non-destructive read, and the result (PID/application) is stated. However, it does not disclose what happens when port is omitted, what output shape to expect, or whether elevated privileges are required.
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 focused sentence that states the action, target resource, and purpose without filler or repetition. Every phrase contributes useful information.
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?
The tool is simple, but with no output schema and no annotations, the description should clarify omitted-port behavior and return contents more precisely. Mentioning PID and application is likely enough for basic use, but some interpretation remains.
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 schema already fully describes the port parameter, including optionality and range. The description adds no new parameter semantics beyond the association between port being and PID/application resolution, so the baseline score of 3 is appropriate.
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 uses a specific verb ('Inspects'), names the resource ('active local network ports'), and states the outcome (identify PID and application). It clearly distinguishes itself from any generic or unknown tool, and no sibling tools are provided to confuse selection.
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 gives clear context: use this tool when you need to map a local port to the process and app using it. It does not explicitly state when not to use it or name alternatives, but the absence of sibling tools makes that less necessary.
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
v1.0.0- First observed
inspect_ports
TDQS
Scored across 1 tool
With only one tool available, there is no possibility of confusing it with other tools. The tool's purpose is clearly defined and stands alone.
The single tool name follows a clear verb_noun pattern. Since there is only one tool, there are no inconsistencies or competing naming conventions to evaluate.
The server is named 'runtime-mcp-server,' suggesting broad runtime management capabilities, but it exposes only a single port inspection tool. This feels severely undersized for the stated scope.
The tool surface is limited to inspecting ports, with no support for managing processes, terminating processes, or interacting with runtime state in any other meaningful way. The server's purpose appears very narrow, leaving significant gaps for any real runtime management workflow.
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