Monitor and debug ROS 2 systems by querying nodes, topics, services, and TF2 frames through a unified interface. Built for roboticists and ROS developers who need programmatic access to system state without writing custom scripts.
io.github.husain-zaidi/ros-mcp
Local install
STDIO
No auth required
How models use it and what it is built for.
Monitor and debug ROS 2 systems by querying nodes, topics, services, and TF2 frames through a unified interface. Built for roboticists and ROS developers who need programmatic access to system state without writing custom scripts.
Local install — runs as a subprocess.
Where to find authoritative docs and source for Husain Zaidi Ros.
Paste any of these into Agent Studio after connecting Husain Zaidi Ros.
Common questions about connecting and running Husain Zaidi Ros.
What ROS 2 distributions does this MCP server support?
The registry metadata does not specify supported distributions. Check the installation docs or GitHub repository for compatibility with your ROS 2 version (Humble, Iron, Jazzy, etc.).
How do I install and run the ROS MCP server?
Install via `npx ros-mcp@1.0.1`. The server uses stdio transport, so it communicates with your MCP client through standard input/output. Ensure ROS 2 is sourced in your environment before launching.
Can I use this to monitor a remote ROS 2 system?
The registry data does not specify remote monitoring capabilities. By default, it likely connects to the local ROS 2 domain. Consult the repository documentation for network or SSH-based remote access patterns.
What environment variables or configuration does this server require?
The install command and registry metadata do not list required env vars. Check the GitHub repository or run `npx ros-mcp@1.0.1 --help` to see setup instructions and any ROS_DOMAIN_ID or RMW_IMPLEMENTATION settings needed.
Is there a cost or licensing model for this MCP server?
The registry metadata does not mention pricing or licensing. It appears to be an open-source tool. Review the repository license and terms before deploying in production.
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