Data Dictionary MCP

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A Model Context Protocol (MCP) server that coordinates AI agents to convert database tables into detailed, human-readable data dictionaries, supporting multiple formats.
Added on:
Created by:
Apr 10 2025
Data Dictionary MCP

Data Dictionary MCP

0 Reviews
0
0
Data Dictionary MCP
A Model Context Protocol (MCP) server that coordinates AI agents to convert database tables into detailed, human-readable data dictionaries, supporting multiple formats.
Added on:
Created by:
Apr 10 2025
Jonah Keegan
Featured

What is Data Dictionary MCP?

The Data Dictionary MCP project automates converting various database formats like JSON, CSV, and plain text into comprehensive data dictionaries. It leverages AI-powered analysis to generate detailed descriptions, identify relationships, and extract schemas, presenting the data in a Wikipedia-style format. The MCP system coordinates multiple AI agents to analyze, verify, and produce metadata that enhances understanding of database structures. This automation streamlines documentation, improves data transparency, and facilitates easier data management for developers, data engineers, and analysts.

Who will use Data Dictionary MCP?

  • Data Engineers
  • Database Administrators
  • Developers
  • Data Analysts
  • AI Researchers

How to use the Data Dictionary MCP?

  • Step 1: Clone the repository and install dependencies as per the instructions.
  • Step 2: Prepare your database format files (JSON, CSV, or plain text).
  • Step 3: Run the MCP server to initialize the environment.
  • Step 4: Upload or provide the database files for analysis.
  • Step 5: The system coordinates AI agents to analyze and extract schema information.
  • Step 6: Review the generated Wikipedia-style data dictionary output.
  • Step 7: Export or use the data dictionary for documentation or further analysis.

Data Dictionary MCP's Core Features & Benefits

The Core Features
  • Support for multiple data formats (JSON, CSV, Plain Text)
  • AI-powered schema analysis and relationship detection
  • Coordination of AI agents via MCP
  • Generation of detailed data descriptions
  • Production of human-readable, Wikipedia-style data dictionaries
The Benefits
  • Automates tedious documentation process
  • Enhances understanding of complex datasets
  • Supports multi-format data sources
  • Facilitates better data management and transparency
  • Reduces manual effort and errors

Data Dictionary MCP's Main Use Cases & Applications

  • Automating database documentation for large data warehouses
  • Generating data dictionaries for data governance compliance
  • Creating detailed schema descriptions for data onboarding
  • Supporting AI research with structured database insights
  • Improving data transparency for non-technical stakeholders

FAQs of Data Dictionary MCP

Developer

  • jonahkeegan

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