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c0dr

Canteen MCP

by c0dr
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TypeScript
Remote

Kantine MCP

Ein Model Context Protocol (MCP)-Server, der über eine einfache API-Integration Zugriff auf das Mittagsmenü der Kantine bietet.

Beschreibung

Canteen MCP ist ein FastMCP-basierter Server, der ein Tool zum Abrufen täglicher Mittagsmenüs aus der Kantine bereitstellt. Es verbindet sich mit einer Menü-API und bietet eine strukturierte Schnittstelle zum Abfragen von Menüdaten für bestimmte Tage.

Related MCP server: Strapi MCP Server

Merkmale

  • Holen Sie sich das Mittagsmenü für ein bestimmtes Datum

  • httpStream-basierter Transport für Echtzeitkommunikation

  • Umgebungsbasierte Konfiguration

  • Typsichere API mit Eingabevalidierung

Installation

npm install

Konfiguration

Kopieren Sie die Beispielumgebungsdatei und aktualisieren Sie sie mit Ihren Werten:

cp .env.example .env

Umgebungsvariablen

Variable

Beschreibung

Beispiel

API_URL

URL der Mittagsmenü-API

https://lunch-menu-ai.vercel.app/api/v1/menu

HAFEN

Port für den MCP-Server

8080

ENDPUNKT

HTTP-Endpunkt

/Endpunkt

Verwendung

Starten Sie den Server:

npm start

Verfügbare Tools

Mittagsmenü erhalten

Ruft das Mittagsmenü für ein bestimmtes Datum ab.

  • Parameter :

    • date : Zeichenfolge im Format JJJJ-MM-TT

  • Gibt zurück : JSON-Zeichenfolge mit den Menüdaten

  • Beispiel :

    const result = await tool.execute({ date: "2024-10-05" });

Entwicklung

Voraussetzungen

  • Node.js >= 18

  • npm

Ausführen im Entwicklungsmodus

npm run dev

Docker

Erstellen des Bildes

docker build -t canteen-mcp .

Ausführen des Containers

docker run -d \
  -p 8080:3000 \
  -e API_URL=your_api_url \
  -e PORT=3000 \
  -e ENDPOINT=/http \
  --name canteen-mcp \
  canteen-mcp

Verwenden der GitHub Container Registry

Rufen Sie das neueste Bild ab:

docker pull ghcr.io/[your-username]/canteen-mcp:latest

Einsatz

Bereitstellung für Hetzner

  1. Melden Sie sich per SSH bei Ihrem Hetzner-Server an:

ssh root@your-server-ip

  1. Installieren Sie Docker, falls es noch nicht installiert ist:

curl -fsSL https://get.docker.com | sh

  1. Erstellen Sie eine docker-compose.yml-Datei:

version: '3.8'
services:
  canteen-mcp:
    image: ghcr.io/c0dr/canteen-mcp:latest
    restart: always
    ports:
      - "8080:3000"
    environment:
      - API_URL=your_api_url
      - PORT=3000
      - ENDPOINT=/http

  1. Starten Sie den Dienst:

docker-compose up -d

Lizenz

Dieses Projekt ist unter der MIT-Lizenz lizenziert – Einzelheiten finden Sie in der Datei LICENSE.

Basierend auf https://github.com/punkpeye/fastmcp-boilerplate

Available Tools

1 tool
get_lunch_menuA
Read-only

Get the lunch menu from the canteen for a specific date

ParametersJSON Schema
NameRequiredDescriptionDefault
dateYesThe date to get the menu for (YYYY-MM-DD)

TDQS

A3.6/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already provide readOnlyHint=true and openWorldHint=true, indicating this is a safe read operation with open-world assumptions. The description adds context about retrieving a menu for a date but does not disclose additional behavioral traits like error handling, data freshness, or format details. No contradiction with annotations is present.

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, clear sentence that efficiently conveys the tool's purpose without any wasted words. It is appropriately sized and front-loaded, making it easy to understand quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's low complexity (one parameter, read-only, no output schema), the description is reasonably complete. It covers the main action and parameter intent, though it could benefit from mentioning the return format or potential limitations. With annotations handling safety and world assumptions, the description is adequate but not exhaustive.

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?

Schema description coverage is 100%, with the parameter 'date' fully documented in the schema (including description, pattern, and type). The description mentions 'for a specific date' but adds no extra meaning beyond what the schema provides, so it meets the baseline of 3 for high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose with a specific verb ('Get') and resource ('lunch menu from the canteen'), including the scope ('for a specific date'). It distinguishes what the tool does effectively, though there are no sibling tools to differentiate from, which prevents a perfect score of 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage by specifying 'for a specific date', suggesting when to use it (when you need a menu for a particular date). However, it lacks explicit guidance on when not to use it or alternatives, and there are no sibling tools mentioned, so no comparison is provided.

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 observedget_lunch_menu
Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A3.5/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of ambiguity or overlap between tools. The tool 'get_lunch_menu' has a clear and distinct purpose that cannot be confused with any other tool in this set.

Naming Consistency5/5

Since there is only one tool, it inherently follows a consistent naming pattern. The tool name 'get_lunch_menu' uses a verb_noun structure, which is clear and predictable, though no comparison with other tools is possible.

Tool Count2/5

A single tool is too few for a server named 'Canteen MCP', which suggests a broader scope related to canteen operations. This minimal set severely limits functionality, as it only allows retrieving the lunch menu without any other operations like ordering, payment, or menu management.

Completeness1/5

The tool set is severely incomplete for a canteen domain. It only provides a 'get' operation for the lunch menu, with no coverage for creating, updating, or deleting menu items, handling orders, payments, or other typical canteen workflows, leading to significant gaps that will cause agent failures.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

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