Krupalp525/fledge-mcp

3.1

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.

Tools

Functions exposed to the LLM to take actions

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

Prompts

Interactive templates invoked by user choice

No prompts

Resources

Contextual data attached and managed by the client

No resources

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