fledge-mcp

GitHub Repository

Description

fledge-mcp is a Model Context Protocol (MCP) server that bridges the Fledge IoT platform with natural language interfaces, enabling sensor data access, system management, and real-time visualization. It is designed for integration with Cursor AI, allowing AI-driven interactions with Fledge instances using natural language commands. The server implements the MCP protocol directly, using JSON-RPC 2.0 over WebSocket, and supports deployment in containerized environments.

Features

• MCP Server Implementation: Fully implements the Model Context Protocol (MCP) using JSON-RPC 2.0 over WebSocket.
• Natural Language Interface: Enables AI (e.g., Cursor AI) to interact with Fledge via natural language commands.
• Data Access and Management: Tools for accessing and managing sensor data from Fledge.
• Service Control: Provides control over Fledge services.
• Frontend Code Generation: Supports generation of frontend code for visualization or interaction.
• Real-Time Data Streaming: Streams real-time sensor data via WebSocket.
• Debugging and Validation: Tools for debugging and validating API connections and functionality.
• Documentation and Schema: Methods to retrieve available tools and their parameters.
• Security Options: Optional API key authentication for secure server operation.
• Containerized Deployment: Includes Dockerfile for easy container-based deployment.
• Extensibility: Can be extended with additional tools and features.
• Production Deployment: Supports deployment and management on Smithery.ai, with configuration, monitoring, and update workflows.
• Error Handling: Adheres to standard JSON-RPC 2.0 error codes.

Category

• Data Access & Integration / MCP Servers

Tags

mcp, iot, data-visualization, websocket, container

Pricing

No pricing information is provided; the project appears to be open source.