Data Dictionary MCP
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?
- Automating the creation of data dictionaries for large databases.
- Enhancing data documentation for better accessibility and understanding.
- 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.
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