PDMT is a high-performance, deterministic templating library for Model Context Protocol (MCP) applications. It generates consistent, validated content and structured todo lists while enforcing quality gates. The architecture is modular: a Handlebars-based Template Engine enables deterministic generation; Content Models define todos, generated content, and metadata; a Quality Proxy via PMAT enforces quality standards; and native MCP integration is provided through the PMCP SDK for seamless MCP workflows. PDMT supports YAML, JSON, Markdown, and plain text outputs, enabling flexible export formats. Core capabilities include 0.0 temperature templating for reproducible outputs, comprehensive todo validation with actionability checks, complexity scoring, and time estimates, plus circular dependency detection. The project emphasizes test-driven quality with extensive testing (81%+ coverage), property testing, fuzzing, and strict linting. Templates can be built-in or extended via a YAML-based system, with input schemas, validation gates, and prompt templates. The library is designed for MCP teams building deterministic templating pipelines, project scaffolds, resume generators, or README content, delivering reproducible results across MCP-driven workflows.