nUR_MCP_SERVER is an intelligent industrial collaborative robot control middleware system built based on the MCP (Model Control Protocol) interface
NUniversal MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. nUR_MCP_SERVER is an intelligent industrial collaborative robot control middleware system built based on the MCP (Model Control Protocol) interface protocol. It realizes the natural language interactive control of industrial robots by.
MCP 服务器相当于 AI 的“助手”，可以提供以下支持： 访问数据（Resource Exposure） 提供文件、数据库、内存数据等，例如： file:///docs/report.pdf（读取本地文件）、db://sales/records（查询数据库）、执行操作（Tool Provisioning）
Once NUniversal is connected, these are the calls the assistant has available:
connect_ur — 连接管理disconnect_ur — 连接管理get_serial_number — 设备信息get_time — 状态监控get_ur_software_version — 设备信息get_robot_model — 设备信息get_safety_mode — 设备信息get_robot_mode — 状态监控get_program_state — 程序控制/状态get_actual_tcp_pose — 运动控制get_actual_joint_pose — 运动控制get_output_int_register — 寄存器操作Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
Plenty of AI and media services servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. NUniversal's toolset — connect_ur, disconnect_ur, get_serial_number and 11 more — is a fair guide to whether it matches your workflow. It is maintained by nonead; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| connect_ur | 连接管理 |
| disconnect_ur | 连接管理 |
| get_serial_number | 设备信息 |
| get_time | 状态监控 |
| get_ur_software_version | 设备信息 |
| get_robot_model | 设备信息 |
| get_safety_mode | 设备信息 |
| get_robot_mode | 状态监控 |
| get_program_state | 程序控制/状态 |
| get_actual_tcp_pose | 运动控制 |
| get_actual_joint_pose | 运动控制 |
| get_output_int_register | 寄存器操作 |
| get_output_double_register | 寄存器操作 |
| get_output_bit_register | 寄存器操作 |
{
"mcpServers": {
"Nonead-Universal-Robots-MCP": {
"name": "Nonead-Universal-Robots-MCP",
"type": "stdio",
"description": "Nonead-Universal-Robots-MCP是基于MCP（Model Control Protocol）接口协议构建的智能工业协作机器人控制中间件系统，通过集成大语言模型（LLM）实现工业机器人的自然语言交互式控制。该产品采用Client-Server架构设计，支持与优傲（Universal Robots）全系列协作机器人深度集成，革新了传统示教器编程的工业机器人。",
"isActive": true,
"registryUrl": "https://pypi.tuna.tsinghua.edu.cn/simple",
"timeout": "600",
"provider": "拓德科技",
"providerUrl": "https://www.nonead.com",
"logoUrl": "https://www.nonead.com/assets/img/vi/5.png",
"tags": [
"优傲机器人大语言模型控制系统"
],
"command": "uvx",
"args": [
"https://www.nonead.com/download/nonead_universal_robots_mcp-0.1.4-py3-none-any.whl",
"nonead-universal-robots-mcp"
],
"installSource": "unknown"
}
}
}Configuration as documented by the project. Restart the client after saving.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.