Mobus FAQs

Question 1

Can I self-host Mobus for local use?

Accepted Answer

Yes, Mobus is fully open-source and can be easily self-hosted. You can clone the GitHub repository, install dependencies, and run it locally, allowing for complete control over your data environment and API key management.

Question 2

How does Mobus integrate with AI assistants like Claude?

Accepted Answer

Mobus connects seamlessly with Claude (and other MCP-compatible AI agents) as a custom connector. You simply add the Mobus URL in your AI assistant's settings, and it instantly provides access to its suite of 15 data interaction tools.

Question 3

What is Mobus?

Accepted Answer

Mobus is an open-source tool that allows AI assistants to discover, preview, and analyze datasets from over 20 diverse platforms through a single Model Context Protocol (MCP) connector. It streamlines data exploration for research and machine learning projects.

Question 4

What types of dataset operations can Mobus perform?

Accepted Answer

Mobus offers comprehensive dataset management, including searching across multiple platforms, previewing rows, retrieving full metadata, assessing data quality (missing values, duplicates), checking licenses, generating citations, and comparing datasets.

Question 5

How many data platforms does Mobus support?

Accepted Answer

Mobus currently supports over 20 data platforms, including popular sources like data.gov, Zenodo, Hugging Face, Kaggle, AWS Open Data, NASA Earthdata, and many more. It intelligently handles API keys, skipping platforms where credentials are not provided.

Mobus

Mobus

Key Features

Use Cases

Key Features

Use Cases