Fledge MCP Server provides a bridge between Fledge IoT platform and AI assistants, enabling natural language interaction with sensor data and system management. Developed by Krupal Patel, it offers tools for data access, service control, UI component generation, and real-time streaming over WebSockets. The implementation includes both standard and secure API key authentication modes, with Docker containerization for easy deployment on Smithery.ai. This server is particularly valuable for IoT workflows requiring data visualization, monitoring, and configuration management without leaving the conversation interface.
Fetch sensor data from Fledge with optional filtering by time range and limit.
List all sensors available in Fledge.
Ingest test data into Fledge, with optional batch count.
Get the status of all Fledge services.
Start or stop a Fledge service by type.
Update Fledge configuration parameters.
Generate React components for Fledge data visualization.
Get sample frontend templates for different frameworks.
Get AI-powered suggestions for improving UI code.
Set up a subscription to sensor data updates.
Get the most recent reading from a specific sensor.
Check if the Fledge API is reachable.
Test API requests with different methods and payloads.
Get information about available Fledge API endpoints.
List available Fledge plugins.
Generate realistic mock sensor data for testing.
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