MCP.Market

Bagel MCP server

by Extelligence-ai·io.github.Extelligence-ai/bagel·v2.4.1·400 stars

Plain-English analysis of robotics, drone, and IoT data, with intelligent edge data reduction.

A90/100grade A
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Safety scan
A90/100

full report

Adoption
Growing

400 stars

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If you have run it, two minutes of your experience saves the next person an afternoon.

Bagel tools

No tool declarations could be read from the package source. They show once the server is installed.

Public scan report

scanner v0.1.10 · 2026-10-31 · same rubric, same numbers if you re-run it

no findings
  • –Code scanpackage could not be scannedn/a
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 11 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
Overall 90/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Bagel compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
90/100
higher than 83% of 48,255 servers
GitHub stars
400
more than 95% of 28,688 servers

Release history: 5 versions in the registry since 2026-08-27, latest 2026-10-06, typically one every 10 days.

Install Bagel in Claude Code, Cursor or VS Code

claude mcp add bagel -- docker run -i --rm ghcr.io/extelligence-ai/bagel/ros2-kilted:2.4.1
Add to Cursor

What the publisher says

From the Bagel repository's README, as published. We do not edit it. Read it on GitHub

Bits to atoms.Atoms to bits.

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.

🥯 Key Features

one sentence becomes an auditable pipeline: previewed before a byte is written, then run once, across a fleet, or standing at the edge.

  • 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":
  • Broad LLM support: Claude Code, Gemini, Cursor, Codex, and more.
  • Dockerized environments: No local dependencies required.
  • 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)
...

The ROS2 images (ros2-kilted, ros2-jazzy, ros2-iron, ros2-humble) run demo the same way, against a lighter bundled sample (px4 is the one that ships with a flight log rich enough to show every check). Point it at your own log with demo /path/to/log (mount it with -v first), or keep reading for the full MCP setup below.

⚡️ Quickstart

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Bagel: common questions

Is Bagel MCP server safe?
Yes, by our scan: it is graded A (90/100). Read the Bagel safety report
How do I install Bagel?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Bagel need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Bagel maintained?
The last commit was 15 days ago (2026-10-19). The latest release is v2.4.1.
How does Bagel compare with other MCP servers?
safety score 90/100 (higher than 83% of 48,255 servers); github stars 400 (more than 95% of 28,688 servers). Full comparison.