Fledge FAQs

Question 1

What is the Fledge MCP Server?

Accepted Answer

The Fledge MCP Server bridges Fledge functionality to Cursor AI, enabling you to interact with Fledge instances using natural language commands.

Question 2

Is the Fledge MCP Server secure?

Accepted Answer

Yes, a secure server option is available that uses API key authentication. You can also deploy the server behind a reverse proxy and implement more robust authentication methods like JWT or OAuth for production environments.

Question 3

What can I do with the Fledge MCP Server?

Accepted Answer

It allows you to access sensor data, control Fledge services, generate UI components, debug, and much more – all through simple natural language requests in Cursor AI.

Question 4

Can I deploy the Fledge MCP Server on Smithery.ai?

Accepted Answer

Yes, the server can be easily deployed on Smithery.ai for scalability and high availability. The documentation includes a step-by-step guide for Docker build, deployment, and configuration on Smithery.ai.

Question 5

How do I install and configure the Fledge MCP Server?

Accepted Answer

Installation involves cloning the repository, installing dependencies with pip, and configuring the server URL and tools file within Cursor AI settings. Detailed instructions are in the README.

Fledge

Key Features

Use Cases

Fledge

Key Features

Use Cases