Fledge Model Context Protocol (MCP) Server for Cursor AI integration
Overview
What is Fledge MCP Server?
Fledge MCP Server is a Model Context Protocol (MCP) server that integrates Fledge functionality with Cursor AI, enabling natural language interactions with Fledge instances.
How to use Fledge MCP Server?
To use the Fledge MCP Server, clone the repository, install dependencies, and run the server. Connect it to Cursor AI by adding the server URL in the Cursor settings.
Key features of Fledge MCP Server?
- Connects Fledge with Cursor AI for natural language commands
- Provides various tools for data access, service control, and UI generation
- Supports secure operation with API key authentication
Use cases of Fledge MCP Server?
- Fetching and managing sensor data from Fledge
- Generating UI components for data visualization
- Validating API connections and simulating requests
FAQ from Fledge MCP Server?
- What are the prerequisites for using Fledge MCP Server?
You need Fledge, Cursor AI, and Python 3.8+ installed.
- How do I secure the server?
Use the secure_mcp_server.py script to enable API key authentication.
- Can I deploy Fledge MCP Server on cloud platforms?
Yes, it can be deployed on platforms like Smithery.ai for enhanced scalability.