Data Dictionary MCP

Created By
jonahkeegana year ago
A Model Context Protocol (MCP) server that coordinates AI agents to transform database tables into Wikipedia-style data dictionaries.
Overview

What is Data Dictionary MCP?

Data Dictionary MCP is a Model Context Protocol (MCP) server that automates the transformation of database tables into comprehensive, Wikipedia-style data dictionaries using AI agents.

How to use Data Dictionary MCP?

To use Data Dictionary MCP, clone the repository, set up a Python virtual environment, install the dependencies, and run the application to start processing your database files.

Key features of Data Dictionary MCP?

  • Multi-format support for JSON, CSV, and Plain Text files.
  • AI-powered analysis for generating field descriptions and identifying relationships.
  • Integration with the Model Context Protocol for coordinating AI agents.
  • Schema extraction from various formats into a unified representation.
  • Output in a familiar, Wikipedia-style format.

Use cases of Data Dictionary MCP?

  1. Automating the creation of data dictionaries for large databases.
  2. Enhancing data documentation for better accessibility and understanding.
  3. Supporting data governance and compliance initiatives by providing clear data definitions.

FAQ from Data Dictionary MCP?

  • What formats does Data Dictionary MCP support?

Currently, it supports JSON, CSV, and Plain Text, with plans for more formats in the future.

  • Is Data Dictionary MCP open source?

Yes! The project is open source and available under the MIT License.

  • How can I contribute to the project?

Contributions are welcome! You can submit a Pull Request on GitHub.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
jonahkeegan
Star
0
Language
Python
License
MIT license

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