Mcap Python Packages

foxglove-schemas-protobuf

Log and visualize multimodal data for robotics and physical AI

foxglove-sdk

Log and visualize multimodal data for robotics and physical AI

roboto

Data Analytics for Robotics and Physical AI

hflow

SDK for robotics teams to verify the quality of their data used for AI model training.

foxglove-schemas-flatbuffer

Log and visualize multimodal data for robotics and physical AI

kalanos

Audit Robotics data before you train on it. Scores LeRobot, HDF5, MCAP, ROS 2, CSV and JSON recordings for timing, signal integrity and motion quality.

topicforge

Read-only MCP server for ROS2 and DDS robotics. Let an AI agent inspect topics, DDS participants, QoS mismatches and rosbags. No write path by architecture: it can never command your robot.

kappe

Kappe is an efficient data migration tool designed to seamlessly convert and split ROS2 MCAP files.

rbyte

Multimodal datasets for spatial intelligence

rosbag-resurrector

Stop letting your rosbag data rot. Pandas-like analysis for robotics bag files with health checks, sync, ML export, semantic search, and WebSocket bridge.

lidar-camera-calibrator

Manual LiDAR-to-camera calibration refinement for any dataset: raw data, NumPy, custom loaders, or Foxglove MCAP.

mcap-data-loader

Load and process MCAP data files for machine learning and robotics training pipelines, with a LeRobot training integration.

bagel-mcp

Query robotics, drone, and IoT data in plain English through an MCP server, with an intelligent edge data reduction pipeline that keeps only the data that matters.

bagx

A readiness checker for recorded ROS1/ROS2 bags

mcap-mcp-server

Query your robot's MCAP recordings with SQL — straight from your LLM.

manastone-diag

Offline fault diagnosis assistant for the AgiBot X2 Ultra humanoid: drop in a log package, get a three-round reviewed diagnosis. Rules + causal inference + LLM agent.

rosbag-doctor

Find bad ROS 2 recordings before they become bad datasets. Checks SQLite3 and MCAP bags for timing gaps, bad rates, timestamp problems, coverage, and sensor sync.