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Canteen MCP

by c0dr
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TypeScript
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Canteen MCP

A Model Context Protocol (MCP) server that provides access to the canteen's lunch menu via a simple API integration.

Description

Canteen MCP is a FastMCP-based server that exposes a tool for retrieving daily lunch menus from the canteen. It connects to a menu API and provides a structured interface for querying menu data for specific dates.

Related MCP server: Strapi MCP Server

Features

  • Get lunch menu for any specific date

  • httpStream-based transport for real-time communication

  • Environment-based configuration

  • Type-safe API with input validation

Installation

npm install

Configuration

Copy the example environment file and update it with your values:

cp .env.example .env

Environment Variables

Variable

Description

Example

API_URL

URL of the lunch menu API

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

PORT

Port for the MCP server

8080

ENDPOINT

HTTP endpoint

/endpoint

Usage

Start the server:

npm start

Available Tools

get_lunch_menu

Retrieves the lunch menu for a specific date.

  • Parameters:

    • date: String in YYYY-MM-DD format

  • Returns: JSON string containing the menu data

  • Example:

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

Development

Prerequisites

  • Node.js >= 18

  • npm

Running in Development Mode

npm run dev

Docker

Building the Image

docker build -t canteen-mcp .

Running the Container

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

Using GitHub Container Registry

Pull the latest image:

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

Deployment

Deploying to Hetzner

  1. SSH into your Hetzner server:

ssh root@your-server-ip

  1. Install Docker if not already installed:

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

  1. Create a docker-compose.yml file:

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. Start the service:

docker-compose up -d

License

This project is licensed under the MIT License - see the LICENSE file for details.

Based on 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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