# bumi-mcp

> bumi-mcp — sandraschi-bumi-mcp. Use this tool when you need to interact with a humanoid robot or simulate its functionality, as it provides a server and web application interface to control and manage the robot's actions, accepting git inputs and generating outputs for robot commands and status updates. It solves problems related to robotics development, testing, and automation, offering a virtual environment for testing and a future physical robot implementation. Ideal for robotics developers, researchers, and testers seeking a flexible and accessible platform.

Canonical page: https://skillsregistry.net/skills/sandraschi-bumi-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sandraschi-bumi-mcp

## Description

Noetix Bumi humanoid robot — MCP 3.1 server + webapp. virtual bot now, real bot asap

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/sandraschi/bumi-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": "sandraschi-bumi-mcp"
    }
  }
}
```

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