pulsemcp Safe content atomic mcp-remote

Unitree Go2

The Unitree Go2 MCP Server enables AI assistants to control the Unitree Go2 quadruped robot through natural language commands. Built on Python, it interfaces with the robot's ROS2 system to execute various movements and actions including walking, dancing, sitting, and performing gestures like handshakes or greetings. The server translates high-level commands into precise ROS2 topic publications that control the robot's wireless controller, making it particularly valuable for robotics researchers and enthusiasts who want to interact with their Go2 robot using conversational AI rather than traditional programming or manual controls.

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.

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: search
Source: PulseMCP
Repository: github.com/lpigeon/unitree-go2-mcp-server
Author type: human
Updated: 2026-04-25

View source Find related skills

MCP

Resolve Unitree Go2 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"