pulsemcp Safe content atomic mcp-remote

Universal Robots

MCP server implementation by Anthony Zhuang that provides AI assistants with complete control over Universal Robots industrial robotic arms through real-time data exchange (RTDE), dashboard commands, and URScript programming interfaces. The implementation includes a comprehensive URBasic library that handles TCP/IP connections for robot control, real-time data monitoring of joint positions and TCP poses, safety status management, and advanced features like force-controlled movements and remote servoj operations for precise joint control. Built with multi-threaded architecture supporting simultaneous data streaming and command execution, the server enables AI assistants to perform complex robotic tasks including trajectory planning, force sensing applications, and industrial automation workflows where programmatic control of Universal Robots hardware is required.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: iot-hardware
Source: PulseMCP
Author type: human
Updated: 2026-04-25

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MCP

Resolve Universal Robots from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"