data-dictionary-mcp
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A Model Context Protocol (MCP) server that coordinates AI agents to transform database tables into Wikipedia-style data dictionaries.
The Data Dictionary MCP project automates the conversion of various database formats into comprehensive, human-readable data dictionaries using AI-powered analysis and description. It leverages the Model Context Protocol (MCP) to coordinate AI agents for analyzing, describing, and verifying database structures. The project supports multiple data formats, including JSON, CSV, and Plain Text, with plans to expand to more formats. It extracts database schemas and presents them in a unified, Wikipedia-style format, making it accessible and familiar to users. The project is actively being developed, with a roadmap that includes milestones for server foundation, AI agent coordination, content verification, and user interface development.
Features
- Multi-Format Support: Process JSON, CSV, and Plain Text files (with more formats planned)
- AI-Powered Analysis: Generate field descriptions and identify relationships
- MCP Integration: Coordinate AI agents using the Model Context Protocol
- Schema Extraction: Extract database schemas from various formats into a unified representation
- Wikipedia-Style Output: Present data dictionaries in a familiar, accessible format