fledge-mcp
The Fledge MCP Server connects Fledge functionalities to Cursor AI, enabling natural language interactions with Fledge instances. It offers tools for data management, service control, and advanced AI-assisted features, with options for secure communication using API key authentication.
get_sensor_data
Get sensor data from Fledge, supporting time range and quantity filtering
list_sensors
List all available sensors in Fledge
ingest_test_data
Inject test data into Fledge, supporting batch counting
get_service_status
Get the status of all Fledge services
start_stop_service
Start or stop Fledge service by type
update_config
Update Fledge configuration parameters
generate_ui_component
Generate React components for Fledge data visualization
fetch_sample_frontend
Get front-end templates for different frameworks
suggest_ui_improvements
Get AI-driven UI code improvement suggestions
subscribe_to_sensor
Set up a subscription for sensor data updates
get_latest_reading
Get the latest readings for a specific sensor
validate_api_connection
Check if the Fledge API is accessible
simulate_frontend_request
Test API requests for different methods and loads
get_api_schema
Get the available Fledge API endpoint information
list_plugins
List available Fledge plugins
generate_mock_data
Generate simulated sensor data for testing