PMAT's MCP server exposes a curated suite of 19 MCP tools designed for AI agents and MCP clients such as Claude Code and Cline. It enables agents to request context generation, perform code complexity analysis, TDG scoring, semantic search, code clustering, and documentation validation, among other capabilities. This MCP server is part of PMAT's broader objective of zero-configuration AI context generation across codebases, and it supports integration with multiple programming languages and environments via the MCP Protocol. The server can be started with the CLI command 'pmat mcp' and is documented in the MCP Tools Documentation (docs/mcp/TOOLS.md) and the PMAT Book's MCP Protocol chapter. It supports programmatic access to results and is designed to help AI agents incorporate high-quality context and quality signals into prompts and workflows, enabling richer AI-assisted development and code analysis. For exhaustive details on each tool, configuration options, and integration patterns, see the documentation.