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FIWARE MCP Server: IoT Orchestration & Scalable Context Management - MCP Implementation

FIWARE MCP Server: IoT Orchestration & Scalable Context Management

Introducing the first FIWARE Model Context Protocol Server: Power seamless IoT data orchestration with standards-based, scalable context management. Future-proof your smart ecosystems today.

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About FIWARE MCP Server

What is FIWARE MCP Server: IoT Orchestration & Scalable Context Management?

FIWARE MCP Server acts as a pivotal middleware component, bridging the FIWARE Context Broker with external services to enable seamless IoT orchestration. This server facilitates foundational interactions such as entity management, version verification, and real-time data synchronization, ensuring robust communication across distributed systems. By abstracting complex protocol handling, it empowers developers to focus on building scalable context-aware applications without diving into low-level integration details.

How to Use FIWARE MCP Server: IoT Orchestration & Scalable Context Management?

Deploying the server involves three core steps: cloning the repository, installing dependencies, and configuring runtime parameters. For instance, to start the service with default settings, execute:

python server.py

Advanced users can leverage mcp install commands to customize deployments, including specifying environment variables or alias names. The server exposes intuitive tools like CB_version for broker compatibility checks and publish_to_CB for entity lifecycle management, simplifying integration workflows.

FIWARE MCP Server Features

Key Features of FIWARE MCP Server: IoT Orchestration & Scalable Context Management?

  • Broker Compliance Validation: Automatically verifies Context Broker compatibility through version introspection.
  • Granular Query Engine: Execute NGSI-LD queries with customizable parameters for entity discovery and attribute filtering.
  • Entity Lifecycle Manager: Supports atomic publish/update operations with built-in validation for NGSI-LD compliance.
  • Resilient Error Handling: Implements circuit-breaker patterns and graceful degradation for network volatility.

Use Cases of FIWARE MCP Server: IoT Orchestration & Scalable Context Management?

Urban planners use this server to aggregate real-time sensor data from smart city infrastructure, enabling:

  • Dynamic traffic light optimization via vehicle flow monitoring
  • Environmental sensors orchestration for pollution alert systems

Industrial adopters leverage its scalability to:

  • Manage thousands of IoT devices in manufacturing ecosystems
  • Create fault-tolerant digital twins for predictive maintenance

FIWARE MCP Server FAQ

FAQ from FIWARE MCP Server: IoT Orchestration & Scalable Context Management?

How does MCP handle concurrent entity updates?

Implements optimistic concurrency control using ETags, ensuring atomic updates even under high write loads.

Can I use this with non-standard Context Broker ports?

Absolutely. All network parameters are configurable in server.py, allowing customization for legacy or segmented environments.

What logging mechanisms are available?

Outputs structured JSON logs by default, with optional syslog integration for centralized monitoring platforms.

Content

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
  1. 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
  1. query_CB
* Queries the Context Broker
* Parameters: 
  * address (default: "localhost")
  * port (default: 1026)
  * query (default: "")
* Returns: JSON string with query results
  1. 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.

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