fledge-mcp
If you are the rightful owner of fledge-mcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
Fledge MCP Server connects Fledge functionality to Cursor AI, enabling AI interaction with Fledge instances via natural language commands.
The Fledge MCP Server is a Model Context Protocol server that facilitates the interaction between Fledge instances and Cursor AI. It allows users to execute natural language commands to control and manage Fledge services, access sensor data, and perform various operations. The server supports both standard and secure modes, with API key authentication for enhanced security. It is designed to be extensible, allowing users to add new tools and functionalities as needed. The server can be deployed on platforms like Smithery.ai for scalability and availability, and it supports JSON-RPC 2.0 over WebSocket for communication.
Features
- Connects Fledge to Cursor AI for natural language interaction.
- Supports secure API key authentication.
- Extensible with custom tool definitions.
- Deployable on Smithery.ai for scalability.
- Implements JSON-RPC 2.0 over WebSocket.
Tools
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
