Coppeliaslim Test MCP Server

@alsak0de

Basic information

About Coppeliaslim Test MCP Server

No overview available yet

#coppeliaslim#mcp-server#robotics-simulation

Coppeliaslim Test MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "CoppeliaSim MCP": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://mcp.sagarra-novo.net"
      ]
    }
  }
}

Coppeliaslim Test MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is Coppeliaslim Test?

A Python-based MCP (Motion Control Protocol) server for CoppeliaSim (formerly V-REP) robotics simulation. It implements the JSON-RPC 2.0 protocol for joint control, monitoring, and real‑time state tracking, targeting developers and robotics researchers.

How to use Coppeliaslim Test?

Clone the repository, install dependencies with pip install -r requirements.txt, start CoppeliaSim and load a robot model, then run python mcp_server.py.

Key features of Coppeliaslim Test

JSON-RPC 2.0 protocol implementation
Joint control and monitoring
Real-time position and state tracking
Comprehensive error handling and logging

Use cases of Coppeliaslim Test

Remotely controlling robot joints in a CoppeliaSim simulation
Reading real‑time joint positions for monitoring or logging
Integrating with external motion‑control pipelines via MCP

Frequently asked questions

What protocol does Coppeliaslim Test use?

It uses the JSON‑RPC 2.0 protocol.

What are the system requirements?

Python 3.x, CoppeliaSim (formerly V‑REP), and the Python packages listed in `requirements.txt`.

How do I install Coppeliaslim Test?

Clone the repository and run `pip install -r requirements.txt`.

How do I start the server?

First launch CoppeliaSim and load your robot model, then run `python mcp_server.py`.

What API methods are available?

The server provides `list_joints`, `get_joint_position`, and `set_joint_position`.

Comments

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