# Fledge IoT

> Use this tool when you need to interact with sensor data and manage IoT systems using natural language, and integrate data visualization, monitoring, and configuration management into conversational interfaces. Fledge IoT enables seamless communication between IoT platforms and AI assistants, providing real-time data access and system control. It is ideal for IoT workflows that require efficient data management and visualization without leaving the conversation interface.

Canonical page: https://skillsregistry.net/skills/krupalp525-fledge-iot  
JSON: https://api.skillsregistry.net/v1/skills/krupalp525-fledge-iot

## Description

Fledge MCP Server provides a bridge between Fledge IoT platform and AI assistants, enabling natural language interaction with sensor data and system management. Developed by Krupal Patel, it offers tools for data access, service control, UI component generation, and real-time streaming over WebSockets. The implementation includes both standard and secure API key authentication modes, with Docker containerization for easy deployment on Smithery.ai. This server is particularly valuable for IoT workflows requiring data visualization, monitoring, and configuration management without leaving the conversation interface.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/krupalp525-fledge-iot)
- **Repository:** <https://github.com/krupalp525/fledge-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "krupalp525-fledge-iot"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/krupalp525-fledge-iot` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/krupalp525-fledge-iot/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
