# Nectar AI Facility Agent

> Nectar AI Facility Agent — jithu000000-nectar-ai-facility-agent. Use this tool when you need to access and control live facility data, such as sensor readings and HVAC status, to optimize energy usage and respond to alerts. It provides an interface for AI agents to query data and execute confirmed maintenance actions, solving problems related to facility management and automation. Ideal for use in scenarios where real-time monitoring and control of facility operations are crucial.

Canonical page: https://skillsregistry.net/skills/jithu000000-nectar-ai-facility-agent  
JSON: https://api.skillsregistry.net/v1/skills/jithu000000-nectar-ai-facility-agent

## Description

MCP server that provides live facility data access and operational tools, enabling the AI agent to query sensor readings, HVAC status, energy usage, alerts, and execute confirmed maintenance actions.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qvhe09m7cb)
- **Repository:** <https://github.com/Jithu000000/nectar-ai-facility-agent>

## 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": "jithu000000-nectar-ai-facility-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jithu000000-nectar-ai-facility-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jithu000000-nectar-ai-facility-agent/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