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MCP Server Project (Proof of Concept)

Created By
BayernTourismus7 months ago
A Proof of Concept for a MCP Server that lets LLM connect with BayernCloud Tourismus
Content

MCP Server Project (Proof of Concept)

This repository contains two Model Context Protocol (MCP) servers that provide location-based services:

  1. Nominatim MCP Server - Provides geocoding and location services using OpenStreetMap data
  2. BayernCloud Tourism MCP Server - Provides access to tourism events data from the BayernCloud API

Overview

The Model Context Protocol (MCP) enables large language models like Claude to interact with external tools and data sources. This project implements two MCP servers that can be integrated with Claude or other AI assistants to provide location-based services.

BayernCloud Tourism MCP Server

The BayernCloud Tourism MCP server provides access to tourism event data from the Bayern Cloud Tourism API. It offers the following tools:

  • list_events - Retrieve events near a specific location within a specified date range

Example Integration

Nominatim MCP Server Example

BayernCloud Tourism MCP Server Example

Setup

Prerequisites

Installation

  1. Clone this repository
  2. Install dependencies:
    npm install
    
  3. Create a .env file in the root directory with the following variables:
    BCT_API_TOKEN=your_bayern_cloud_api_token
    NOMINATIM_BASE_URL=https://nominatim.openstreetmap.org
    OSRM_BASE_URL=http://router.project-osrm.org
    BAYERN_CLOUD_API_URL=https://data.bayerncloud.digital/api/v4/endpoints
    

Integration Example

Can be used for Claude Desktop an others.

See https://modelcontextprotocol.io/quickstart/user how to include with Claude Desktop.

{
  "servers": {
    "mcp-server-nominatim": {
      "type": "stdio",
      "command": "node",
      "args": [
        "/path/to/your/mcp-server/src/nominatim.js"
      ]
    },
    "mcp-events-bct": {
      "type": "stdio",
      "command": "node",
      "args": [
        "/path/to/your/mcp-server/src/bayerncloud.js"
      ]
    }
  }
}

This project is licensed under the MIT License.

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