Mastra Tutorial: Get Started in 5 Minutes [2026]

What it does:

Built from the ground up for TypeScript with full type safety, autocompletion, and compile-time checks. Agent tools use Zod schemas for automatic validation, type inference, and LLM function calling schema generation — not a Python port with TypeScript wrappers.

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What it does:

Step-based workflow engine with intuitive control flow syntax (.then(), .branch(), .parallel()) supporting sequential, parallel, and conditional execution patterns. Includes human-in-the-loop pause/resume, error handling, and retries.

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What it does:

Full Model Context Protocol server authoring capabilities for exposing agents, tools, and structured resources through standardized MCP interfaces, enabling seamless integration with MCP-compatible systems like Claude Desktop and other AI tools.

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What it does:

Document processing, chunking, embedding, and vector store integration (Pinecone, pgvector, and others) for building knowledge-grounded agents with semantic memory and retrieval.

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What it does:

Model routing across OpenAI, Anthropic, Google Gemini, and 40+ other providers with a unified API, allowing agents to use the best model for each task without changing code.

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What it does:

Interactive development interface for running and iterating on agents without wiring up a frontend. Inspect inputs, outputs, tools, and memory in one view. Configure workflows, datasets, and evals visually.

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