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.
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Highlight AIFetch 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
