Ask AI to Read Your Robot’s Logs: ROSBag MCP Server
Robots generate huge logs. This open‑source ROSBag MCP Server lets you ask an AI to analyze ROS/ROS 2 bag files in plain English—no custom scripts. It plugs into Model Context Protocol (MCP), so assistants can call purpose-built tools for robot data. Great for debugging, teaching, and research in agentic, embodied AI.
- Understands trajectories, laser scans, transforms, and time‑series topics.
- Runs familiar CLI (ros2 bag list/info).
- Filter by topics or time ranges.
- Natural‑language queries to visualize and process data.
- Lightweight UI to benchmark multiple LLMs (Anthropic, OpenAI, open‑source via Groq).
In tests of eight LLM/VLMs, tool‑use performance varied widely; Kimi K2 and Claude Sonnet 4 led. Success depended on tool schemas, number of arguments, and how many tools were exposed.
Paper: http://arxiv.org/abs/2511.03497v1 | Code: https://github.com/binabik-ai/mcp-rosbags
Paper: http://arxiv.org/abs/2511.03497v1
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Robotics ROS ROS2 LLM VLM AgenticAI EmbodiedAI MCP OpenSource AItools Benchmarking
