Mastra AI Agent Framework

About

The Mastra skill equips Claude with deep knowledge of the Mastra TypeScript framework, enabling it to architect, implement, and debug complex AI agent systems. It provides specific patterns for creating autonomous agents with structured outputs, designing multi-step deterministic workflows, managing persistent conversation memory, and implementing Retrieval-Augmented Generation (RAG). Whether you are connecting to Model Context Protocol (MCP) servers or integrating real-time voice capabilities, this skill ensures Claude follows Mastra's best practices for building production-ready AI applications.

Key Features

• Deterministic workflow design with state sharing and chaining
• Multi-layered memory management including semantic recall and history
• MCP server and client configuration for extensible toolsets
• RAG implementation with document processing and vector store adapters
• 1,387 GitHub stars
• Agent construction with structured outputs and tool integration

Use Cases

• Building a multi-agent system with complex, step-by-step business logic
• Implementing a RAG-based knowledge assistant with persistent thread memory
• Exposing custom internal tools to LLMs using the Model Context Protocol