DataBridge FAQs

Question 1

What is DataBridge?

Accepted Answer

DataBridge is a Model Context Protocol (MCP) server that empowers AI assistants, like Claude, to securely read and summarize local CSV and Parquet data files using natural language commands. It acts as a private bridge between your AI and your local datasets.

Question 2

How does DataBridge enhance AI assistants like Claude for Desktop?

Accepted Answer

DataBridge provides Claude with direct access to your local CSV and Parquet data. This means you can ask Claude to analyze, summarize, or extract information from your personal data files without uploading them, ensuring privacy, security, and faster processing speeds.

Question 3

What types of data files can DataBridge process?

Accepted Answer

Currently, DataBridge supports reading and summarizing local CSV (.csv) and Parquet (.parquet) data files. Its modular architecture is designed to be easily extensible, allowing developers to add support for other file types or custom data sources.

Question 4

Is DataBridge secure and private?

Accepted Answer

Yes, a core benefit of DataBridge is its focus on privacy and local execution. The server and all data processing run entirely on your local machine, ensuring that your sensitive data never leaves your environment or is sent to external cloud services.

Question 5

Can I add my own custom data processing tools to DataBridge?

Accepted Answer

Absolutely. DataBridge is built with a clean, modular, and extensible architecture. Developers can easily define and integrate new custom tools using Python, expanding the server's capabilities to meet unique data processing or AI workflow requirements.

DataBridge

About

Key Features

Use Cases