# mastra MCP Server: TypeScript Framework for AI Application Primitives

> mastra is a TypeScript framework accelerating AI application development with primitives like agents, RAG, and workflows. It unifies LLM provider interaction via the Vercel AI SDK, making it a strong choice for developers building serverless AI solutions as an MCP Server.

**Published:** 2026-09-14T12:00:11.377+00:00

**Keywords:** mastra,mcp-server,mastra-ai,typescript-ai,serverless-ai

# mastra: Building AI Applications with TypeScript Primitives

mastra is a TypeScript framework designed for developers building AI applications, offering a suite of primitives for rapid development. It provides a unified interface for LLM provider interaction, leveraging the Vercel AI SDK to support major services like OpenAI and Google Gemini. This makes mastra a compelling MCP Server for those looking to abstract away LLM specifics while focusing on application logic.

## Core Capabilities for AI Development

The framework provides several key primitives that streamline AI application construction:

*   **LLM Models:** Integrates LLM models through the Vercel AI SDK, offering a consistent API for various providers.
*   **Agents:** Empower LLMs to perform actions using tools, workflows, and synchronized data, accessing functions, APIs, and knowledge bases.
*   **Tools:** Typed functions with schema definitions, allowing agents or workflows to execute them with built-in integration access and parameter validation.
*   **Workflows:** Durable, graph-based state machines that support branching, loops, and error handling. These are visually editable and integrate with OpenTelemetry for tracing.
*   **RAG (Retrieval-Augmented Generation):** Facilitates the construction of knowledge bases through chunking, embedding, and vector search, enhancing agent capabilities.
*   **Integrations:** Provides auto-generated, type-safe API clients for third-party services.
*   **Evals:** Automates the testing of LLM outputs using model-graded, rule-based, and statistical evaluation methods.

## Getting Started with mastra

To begin developing with mastra, Node.js v20+ is a prerequisite. The setup process is straightforward:

First, ensure you have an API key for your chosen LLM provider (e.g., OpenAI, Anthropic, Google Gemini).

Then, initialize a new mastra project using `create-mastra`:

```bash
npx create-mastra@latest
```

Once the project is set up, launch the Mastra playground with:

```bash
npm run dev
```

If you are using Anthropic or Google Gemini, remember to set the respective API keys as environment variables (`ANTHROPIC_API_KEY` or `GOOGLE_GENERATIVE_AI_API_KEY`). This environment-driven configuration ensures your application can securely access the necessary LLM services.

## References
- [mastra on GitHub](https://github.com/mastra-ai/mastra)
- [Model Context Protocol Documentation](https://modelcontextprotocol.io/introduction)
- [mastra on model-context-protocol.com](https://model-context-protocol.com/servers/)

## Related Repository

- [typescript-ai-agent-framework-build-llm](https://model-context-protocol.com/servers/typescript-ai-agent-framework-build-llm)

**Source:** https://model-context-protocol.com/blog/mastra-mcp-server-typescript-framework-for-ai-application-mcp-server-guide