# pybullet-mcp-server

> pybullet-mcp-server — m1ndsmith-pybullet-mcp-server. Use this tool when you need to manage AI-controlled physics simulations, as it provides a Model Context Protocol (MCP) server for integrating with PyBullet simulations. The pybullet-mcp-server solves problems related to simulation management, data exchange, and AI control, accepting simulation models and parameters as input and outputting simulation results and data. It is ideal for use cases involving complex physics simulations, robotics, and AI research, where a standardized protocol for simulation management is required.

Canonical page: https://skillsregistry.net/skills/m1ndsmith-pybullet-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/m1ndsmith-pybullet-mcp-server

## Description

PyBullet MCP Server  Model Context Protocol server for AI-controlled physics simulations

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/M1ndSmith/pybullet-mcp-server)

## 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": "m1ndsmith-pybullet-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/m1ndsmith-pybullet-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/m1ndsmith-pybullet-mcp-server/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