Extelligence-ai/bagel

Overview

Bagel is an MCP server that lets you query robotics, drone, and IoT data using plain English. It includes an edge data reduction pipeline that filters data to keep only what matters, reducing the volume transmitted or stored.

Best for

Best for
Developers building robotics, drone, or IoT applications that need natural language data access and efficient edge filtering.

Use cases

• Query drone sensor data without writing SQL
• Filter IoT telemetry to cut storage and bandwidth costs
• Add natural language data access to robotics dashboards

How to use

Install

uvx ollmcp --mcp-server-url http://localhost:8000/sse --model qwen3:8b

Tools exposed

• ros2-kilted
• ros2-jazzy
• ros2-iron
• ros2-humble
• ros1-noetic
• ros1-noetic-cv

Tested with

Claude Desktop, Claude Code, Cursor, ChatGPT

Notes

Bagel is an MCP server that lets you query robotics, drone, and IoT data using plain English. It includes an edge data reduction pipeline that filters data to keep only what matters, reducing the volume transmitted or stored.

396 stars on GitHub. Last updated 2026-09-02. Licensed Apache-2.0.

Use cases

• Query drone sensor data without writing SQL
• Filter IoT telemetry to cut storage and bandwidth costs
• Add natural language data access to robotics dashboards

Pros

• Natural language interface for complex data
• Edge reduction lowers data transfer and storage overhead
• Open source with an active community (396 stars)

Cons

• Requires setting up and maintaining an MCP server
• Edge reduction may discard data that later becomes relevant
• Limited ecosystem compared to more established tools

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.