Bagel

Bits to atoms.Atoms to bits.

If you still have a script called parse_bag_final_v7.py, we need to talk.

Bagel by Extelligence lets you ask questions about robotics, drone, and IoT data in plain English. Every calculation over your message data is DuckDB SQL, not model guesswork, and Bagel shows you the query so you can audit it.

Is my IMU sensor overheating?

Bagel also has an intelligent edge data reduction pipeline: describe an event and Bagel runs the detection on the robot, keeping the windows that matter and dropping the rest. An MCP server puts all of it in your LLM's hands: Claude Code, Gemini, Cursor, or a fully local model.

Bagel was the first MCP server to ship a real analysis toolkit for robotics data, and it keeps the LLM where it belongs: in front of your logs, never in your robot's control loop.

📦 Install

Bagel is on PyPI as bagel-mcp. No Docker and no ROS install needed for recorded data.

Claude Code, one line (needs uv):

claude mcp add bagel -- uvx --from "bagel-mcp[ros]" bagel-mcp --transport stdio

pip, into any Python 3.10 to 3.12 environment:

pip install "bagel-mcp[ros]"

Then point your MCP client at the bagel-mcp command it installed (setup for Claude Desktop, Cursor and Codex is in the Quickstart). Open your agent and ask:

Summarize the bag "~/logs/run_42.mcap".

The ros extra reads ROS 1 and ROS 2 bags. Flight logs, CAN / MDF4, live MQTT and the rest are extras too. Live ROS robots (rosbridge) and fleet/edge pipelines run in Docker.

🥯 Key Features

• Ask in plain language: No deep domain expertise needed.
• Transparent calculations: Deterministic SQL queries. No black-box LLM math.
• Natural-language pipelines: "Keep 10s around every hard brake, drop the rest": one sentence becomes an auditable pipeline: previewed before a byte is written, then run once, across a fleet, or standing at the edge.
• Broad LLM support: Claude Code, Gemini, Cursor, Codex, and more.
• Installs your way: pip / uvx for recorded data, Docker images for live robots and the edge.
• Extensible capabilities: Bagel can learn new tricks.
• Wide format coverage: Missing your data format? Open a ticket.

🥯 Try it in 60 seconds

No MCP client, no LLM, no config: run the same deterministic checks against a bundled sample log and get a robot-health report card straight to your terminal.

docker run -it --rm ghcr.io/extelligence-ai/bagel/px4:latest demo

sample.ulg - 41.5s, 2018 messages, 77 topics

Power      ⚠️  min 21.07V, largest drop 2.37V at ~t=+4.8s, end 23.45V (battery_status_0)
IMU        ✅  accel_z stddev 1.6x the log baseline at ~t=+36.8s (sensor_combined_0)
GPS        —  skipped: no GPS topic
Data gaps  ✅  no gap > 1.05x median interval (checked battery_status_0, sensor_combined_0)
...