# bodybridge

> bodybridge — alice-jin-dev-bodybridge. Use this tool when you need to control embodied devices with AI-powered motion without relying on external infrastructure. Bodybridge solves the problem of costly API integrations and PC dependencies by providing a self-hosted, zero-API-cost solution for devices like StackChan, Raspberry Pi, and ESP32. It enables seamless connectivity via the MCP protocol, allowing for efficient motion control and automation.

Canonical page: https://skillsregistry.net/skills/alice-jin-dev-bodybridge  
JSON: https://api.skillsregistry.net/v1/skills/alice-jin-dev-bodybridge

## Description

Connects embodied devices (like StackChan, Raspberry Pi, ESP32) to AI via MCP protocol, enabling motion control with zero API cost, no PC required, and fully self-hosted.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c4blxaqyy1)
- **Repository:** <https://github.com/alice-jin-dev/bodybridge>

## 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": "alice-jin-dev-bodybridge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alice-jin-dev-bodybridge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alice-jin-dev-bodybridge/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