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Data Dictionary MCP

@jonahkeegan

Repository

About Data Dictionary MCP

A Model Context Protocol (MCP) server that coordinates AI agents to transform database tables into Wikipedia-style data dictionaries.

#data-dictionary#mcp#ai-agents

Basic information

Category

Data & Analytics

License

MIT license

Runtime

python

Transports

stdio

Publisher

jonahkeegan

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "data-dictionary-mcp": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Data Dictionary MCP?

Data Dictionary MCP is a Model Context Protocol server that automates the conversion of database tables into Wikipedia-style data dictionaries. It uses AI agents coordinated via MCP to analyze, describe, and verify database structures.

How to use Data Dictionary MCP?

Clone the repository, create a Python 3.9+ virtual environment, install dependencies from requirements.txt, then run python src/main.py.

Key features of Data Dictionary MCP

  • Multi-Format Support: JSON, CSV, and Plain Text files
  • AI-Powered Analysis: generate field descriptions and relationships
  • MCP Integration: coordinate AI agents via the protocol
  • Schema Extraction: unify schemas from various formats
  • Wikipedia-Style Output: familiar, accessible presentation format

Use cases of Data Dictionary MCP

  • Create comprehensive data dictionaries from database schemas
  • Automatically describe fields and identify relationships with AI
  • Convert JSON, CSV, and plain text into structured dictionaries
  • Leverage AI agents to verify and improve dictionary accuracy

FAQ from Data Dictionary MCP

What file formats are supported?

JSON, CSV, and Plain Text are supported; more formats are planned.

What are the prerequisites?

Python 3.9+, Git, and pip or poetry for dependency management.

Is this project production-ready?

No, it is in active development. See the Project Roadmap for details.

How can I contribute?

Contributions are welcome via Pull Requests.

What license does this project use?

MIT License.

Comments

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