# mujoco-arm-mcp

> mujoco-arm-mcp — kevinave-mujoco-arm-mcp. Use this tool when you need to control a simulated robot arm using a large language model (LLM) agent, solving problems that require inference of joint angles from observations. It provides an interface for moving the arm, reading its state, and resetting, with outputs including joint positions and velocities. Ideal for use cases that involve reinforcement learning, robotics, and motor control tasks.

Canonical page: https://skillsregistry.net/skills/kevinave-mujoco-arm-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kevinave-mujoco-arm-mcp

## Description

An MCP server that enables LLM agents to control a two-joint MuJoCo robot arm through tools for moving, reading state, and resetting. It deliberately omits inverse kinematics, so the agent must infer joint angles from observations.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yoq665ijxs)
- **Repository:** <https://github.com/kevinave/mujoco-arm-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": "kevinave-mujoco-arm-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kevinave-mujoco-arm-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kevinave-mujoco-arm-mcp/pull`

---
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