What is Fiware Mcp Server

FIWARE-MCP-Server is the first implementation of a FIWARE Model Context Protocol (MCP) Server that acts as a bridge between the Context Broker and other services, facilitating basic operations for interaction with a FIWARE Context Broker.

Use cases

Use cases for FIWARE-MCP-Server include managing smart city data, integrating IoT devices with context-aware applications, and enabling real-time data updates in various services.

How to use

To use FIWARE-MCP-Server, clone the repository, install the required dependencies using pip, and start the server with the command ‘python server.py’. The server will run on ‘127.0.0.1:5001’ by default.

Key features

Key features of FIWARE-MCP-Server include Context Broker version checking, query capabilities for the Context Broker, and the ability to publish and update entities.

Where to use

FIWARE-MCP-Server can be used in various fields that require context management and data interaction, such as smart cities, IoT applications, and data-driven services.

FIWARE MCP Server

This is a first implementation of a FIWARE Model Context Protocol (MCP) Server that provides a bridge between the Context Broker and other services. The server implements basic operations for interacting with a FIWARE Context Broker.

Objectives

• Create a basic MCP server implementation for FIWARE
• Provide simple tools for Context Broker interaction
• Demonstrate basic intent CRUD operations with the Context Broker
• Serve as a foundation for more complex MCP implementations

Features

• Context Broker version checking
• Query capabilities for the Context Broker
• Entity publishing and updating

Prerequisites

• Python 3.7 or higher
• pip (Python package installer)
• Access to a FIWARE Context Broker instance

Installation

1. Clone this repository:

git clone <repository-url>
cd FIWARE_MCP_01

2. Install the required dependencies:

pip install -r requirements.txt

Claude Desktop integration

mcp install server.py

# Custom name
mcp install server.py --name "FIWARE MCP Server"

# Environment variables, if any
mcp install server.py -v API_KEY=abc123 -v DB_URL=postgres://...
mcp install server.py -f .env

Usage

Start the MCP server:

python server.py
# or
mcp run server.py

The server will start on 127.0.0.1:5001 by default.

Available Tools

1. CB_version

   • Checks the version of the Context Broker
   • Default parameters: address=“localhost”, port=1026
   • Returns: JSON string with version information

2. query_CB

   • Queries the Context Broker
   • Parameters:
     • address (default: “localhost”)
     • port (default: 1026)
     • query (default: “”)
   • Returns: JSON string with query results

3. publish_to_CB

   • Publishes or updates entities in the Context Broker
   • Parameters:
     • address (default: “localhost”)
     • port (default: 1026)
     • entity_data (required: dictionary with entity information)
   • Returns: JSON string with operation status

Example Usage

# Example entity data
entity_data = {
    "id": "urn:ngsi-ld:TemperatureSensor:001",
    "type": "TemperatureSensor",
    "temperature": {
        "type": "Property",
        "value": 25.5
    },
    "@context": "https://uri.etsi.org/ngsi-ld/v1/ngsi-ld-core-context.jsonld"
}

# Publish to Context Broker
result = publish_to_CB(entity_data=entity_data)

Configuration

The server can be configured by modifying the following parameters in server.py:

• Host address
• Port number
• Timeout settings

Error Handling

The server includes comprehensive error handling for:

• Network connectivity issues
• Invalid responses from the Context Broker
• Malformed entity data
• Server shutdown

Contributing

Feel free to submit issues and enhancement requests!

License

This project is licensed under the Apache License 2.0.