# Bzigo

> Use this tool when you need to integrate AI-powered monitoring and management of smart mosquito detection traps, enabling access to device status, detection events, and health metrics. It solves problems related to automated pest control and public health monitoring by providing programmable interaction with Bzigo Iris devices. The tool accepts device identifiers and control commands as inputs and outputs real-time device data and simulation results.

Canonical page: https://skillsregistry.net/skills/bzigo  
JSON: https://api.skillsregistry.net/v1/skills/bzigo

## Description

Bzigo enables AI agents to interact with Bzigo smart mosquito detection traps, providing access to device status, detection events, health metrics, firmware information, and simulation capabilities. The integration allows agents to monitor and manage connected Bzigo Iris devices programmatically.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/bzigo)

## 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": "bzigo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bzigo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bzigo/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