by paiml · MCP Server · ★ 160
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PMAT Zero-configuration AI context generation for any codebase Installation Documentation Table of Contents What is PMAT? Installation Usage Features Architecture What is PMAT? PMAT (Pragmatic Multi-language Agent Toolkit) provides everything needed to analyze code quality and generate AI-ready context: Context Generation - Deep analysis for Claude, GPT, and other LLMs Technical Debt Grading - A+
| Stars | 160 |
| Forks | 28 |
| Language | Rust |
| Category | MCP Server |
| License | MIT |
| Quality Score | 75.9053269533905/100 |
| Open Issues | 40 |
| Last Updated | 2026-08-01 |
| Created | 2025-05-25 |
| Platforms | mcp, rust |
| Est. Tokens | ~25k |
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paiml-mcp-agent-toolkit is Pragmatic AI Labs MCP Agent Toolkit - An MCP Server designed to make code with agents more deterministic. It is categorized as a MCP Server with 160 GitHub stars.
paiml-mcp-agent-toolkit is primarily written in Rust. It covers topics such as agentic, c, deno.
You can find installation instructions and usage details in the paiml-mcp-agent-toolkit GitHub repository at github.com/paiml/paiml-mcp-agent-toolkit. The project has 160 stars and 28 forks, indicating an active community.
paiml-mcp-agent-toolkit is released under the MIT license, making it free to use and modify according to the license terms.
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