# Honeybee-MCP

> Use this tool when you need to interact with Honeybee building energy models using natural language, enabling AI agents to understand, query, and manipulate models through the Model Context Protocol. It solves problems related to building energy efficiency and simulation by providing a intuitive interface for model manipulation. Ideal for use cases where AI agents require seamless integration with Honeybee models to optimize building performance and energy consumption.

Canonical page: https://skillsregistry.net/skills/loftytao-honeybee-mcp  
JSON: https://api.skillsregistry.net/v1/skills/loftytao-honeybee-mcp

## Description

Enables AI agents to understand, query, and manipulate Honeybee building energy models through natural language via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rqz6td2ybf)
- **Repository:** <https://github.com/LoftyTao/Honeybee-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": "loftytao-honeybee-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/loftytao-honeybee-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/loftytao-honeybee-mcp/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