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becketthayes

runtime-mcp-server

by becketthayes

Runtime Diagnostic MCP Server (runtime-mcp-server)

Ein lokaler Server für das Model Context Protocol (MCP), der KI-Codierungsagenten (wie OpenAI Codex CLI) Laufzeitdiagnostik in Echtzeit, Prozessüberwachung und Log-Analyse für lokale Entwicklungsumgebungen bereitstellt.

🎯 Zweck

KI-Codierungsagenten sind hervorragend darin, statischen Code zu untersuchen, aber blind gegenüber dem Laufzeitzustand der Ausführung. Dieser Server schließt diese Lücke, indem er KI-Agenten programmatische, schreibgeschützte Werkzeuge bereitstellt, um laufende Prozesse zu beobachten, Crash-Logs zu analysieren, aktive Ports zu inspizieren und Systemressourcen zu überwachen.

Related MCP server: DevTwin MCP

🛠️ Kernwerkzeuge (v1-Funktionen)

  1. tail_app_logs

    • Beschreibung: Liest und verfolgt die aktuellen stdout-/stderr-Streams oder Crash-Logs von aktiv im Hintergrund laufenden Dev-Servern (npm run dev, python, docker).

    • Ziel: Übergibt Codex automatisch rohe Stack-Traces, ohne manuelles Kopieren und Einfügen.

  2. inspect_ports

    • Beschreibung: Scannt aktive lokale Netzwerk-Ports (z. B. 3000, 8080) und identifiziert die belegenden Prozess-IDs (PIDs).

    • Ziel: Löst automatisch EADDRINUSE-/„Port bereits belegt“-Fehler auf und kann Zombie-Prozessen sicher Signale senden.

  3. get_process_metrics

    • Beschreibung: Überwacht die CPU- und RAM-Auslastung bestimmter lokaler Anwendungsprozesse.

    • Ziel: Hilft Codex, Endlosschleifen, Speicherlecks und außer Kontrolle geratene Hintergrundskripte in Echtzeit zu erkennen.

  4. capture_network_errors

    • Beschreibung: Untersucht lokale fehlgeschlagene HTTP/gRPC-Antworten, CORS-Header und Statuscodes.

    • Ziel: Lokalisiert die Grundursachen für unterbrochene lokale API-Verbindungen zwischen Frontend und Backend.

🏗️ Technischer Stack

  • Sprache: TypeScript / Node.js

  • Protokoll: Model Context Protocol (MCP) über @modelcontextprotocol/sdk

  • Transport: Standardeingabe/-ausgabe (stdio)

  • System-APIs: child_process, fs/promises, psutil / System-Prozess-Dienstprogramme

🚀 Erste Schritte

Installiere die Abhängigkeiten und kompiliere den TypeScript-Quellcode:

npm install
npm run build

Starte den MCP-Server:

npm start

Der initiale Server verbindet sich über stdio und ist bereit, um Diagnosewerkzeuge zu ergänzen.

🚀 Codex CLI-Integration

Konfiguriert in ~/.codex/config.json (oder in den Codex-Client-Einstellungen):

{
  "mcpServers": {
    "runtime-diagnostics": {
      "command": "node",
      "args": ["/Users/USERNAME/Documents/Codex/runtime-mcp-server/build/index.js"]
    }
  }
}

📋 Entwicklungs-Roadmap

  • TypeScript- & @modelcontextprotocol/sdk-Projekt initialisieren

  • Implementiere das Tool inspect_ports implementieren

  • Implementiere das Tool tail_app_logs implementieren

  • Implementiere das Tool get_process_metrics implementieren

  • Integrationstests mit Codex CLI hinzufügen

Available Tools

1 tool
inspect_portsA

Inspects active local network ports to determine which process ID (PID) and application are occupying a port.

NameRequiredDescriptionDefault
portNoOptional local port to inspect. Must be an integer from 1 to 65535.

TDQS

A3.9/5.0
Behavior3/5

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.

Conciseness5/5

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.

Completeness3/5

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.

Parameters3/5

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.

Purpose5/5

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.

Usage Guidelines4/5

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. 1 tool updatev1.0.0
    • First observedinspect_ports

TDQS

A3.7/5.0

Scored across 1 tool

Disambiguation5/5

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.

Naming Consistency5/5

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.

Tool Count2/5

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.

Completeness1/5

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.

Maintenance

ActivityStale
ResponsivenessNo issues

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