Data Dictionary MCP

Name: Data Dictionary MCP
Author: jonahkeegan

@jonahkeegan

Data Dictionary MCP について

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

#data-dictionary #mcp #ai-agents

基本情報

カテゴリ

データと分析

ライセンス

MIT license

ランタイム

python

トランスポート

stdio

公開者

jonahkeegan

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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.

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