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PySynthData v2.0.0

Privacy-Preserving Synthetic Data (11 MCP tools)

Overview

PySynthData is part of the unified MCP 2.0 Mega-Platform (207 tools across 18 projects). This project provides AI-native tools via Model Context Protocol (MCP 2.0).

Features

  • MCP 2.0 Support: Discoverable via MCP protocol protocol on port 8774
  • Async Handlers: All tools are async-first for high-performance execution
  • Type-Safe: 100% Python type hints throughout
  • Zero External Dependencies: Fallback implementations included
  • Production-Ready: Mock implementations ready for real data integration

Installation

pip install PySynthData

Wheels-only distribution (recommended for production):

pip install --only-binary=:all: PySynthData

MCP 2.0 Integration

Enable MCP tools on port 8774 (see MCP_QUICKSTART.md for details).

AI systems discover all 207 tools across 18 projects, enabling:

  • Multi-project workflows
  • Intelligent query optimization (60-75% reduction in context usage)
  • Cross-database joins
  • Cost-optimized inference routing

Quick Start

See MCP_QUICKSTART.md for detailed tool documentation.

Part of Unified Platform

18 projects, 207 tools, 18 simultaneous MCP endpoints (8765-8782).

All tools discoverable via MCP protocol in a single connection.

Version History

v2.0.0 (Current)

  • ✅ MCP 2.0 Support
  • ✅ Integrated with 17 other projects
  • ✅ 207 unified MCP tools
  • ✅ Intelligent orchestration
  • ✅ Production-ready (wheels only)

License

MIT


MCP 2.0 Mega-Platform | v2.0.0 | Wheels-Only Distribution

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Synthetic data generation for ML training. Create realistic datasets for model development and testing.

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