StatGuardian v2.0.0

Data Quality Validation & Governance (9 MCP tools)

Overview

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

Features

MCP 2.0 Support: Discoverable by Claude via MCP protocol on port 8765
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 StatGuardian

Wheels-only distribution (recommended for production):

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

MCP 2.0 Integration

Enable MCP tools on port 8765 (see MCP_QUICKSTART.md for details).

Claude discovers all 207 tools across 18 projects, enabling:

Multi-project workflows
Intelligent query optimization (60-75% token reduction)
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 by Claude in 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

data-quality data-validation schema-validation data-testing data-contracts pandas polars duckdb data-pipeline etl data-engineering data-governance drift-detection anomaly-detection outlier-detection automated-testing data-integrity data-profiling statistical-analysis python-library machine-learning mlops data-ops data-observability

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Upload date: Jul 31, 2026
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Uploaded using Trusted Publishing? No
Uploaded via: twine/7.0.0 CPython/3.13.5

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