# coppeliasim-mcp

> coppeliasim-mcp — kevininocol-coppeliasim-mcp. Use this tool when you need to control and interact with CoppeliaSim simulations programmatically, solving problems such as automated scene creation and simulation testing. It allows MCP clients to drive simulations, build scenes, and read sensor data, providing a safe interface without exposing arbitrary Lua execution. Ideal for use cases requiring automated simulation testing and scene creation, with inputs including MCP client requests and outputs including simulation state and sensor data.

Canonical page: https://skillsregistry.net/skills/kevininocol-coppeliasim-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kevininocol-coppeliasim-mcp

## Description

An MCP server that lets Claude Code or any MCP client drive a running CoppeliaSim 4.10 simulation--building scenes, moving objects, creating joints and proximity sensors, running simulations, and reading sensors--without exposing arbitrary Lua execution.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/utxg4shq19)
- **Repository:** <https://github.com/KevinInoCol/coppeliasim-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": "kevininocol-coppeliasim-mcp"
    }
  }
}
```

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