Mastra/MCP Server

Mastra/mcp mcp server lets Claude, Cursor and other MCP clients work with Mastra/MCP directly. Client implementation for Mastra, providing seamless integration with MCP-compatible AI models and tools.

What Mastra/MCP does

Mastra is a framework for building AI-powered applications and agents with a modern TypeScript stack.

Key capabilities

• Model routing - Connect to 40+ providers through one standard interface. Use models from OpenAI, Anthropic, Gemini, and more
• Agents - Build autonomous agents that use LLMs and tools to solve open-ended tasks. Agents reason about goals, decide which tools to use, and iterate internally until the model emits a final answer or an optional stopping condition is met
• Workflows - When you need explicit control over execution, use Mastra's graph-based workflow engine to orchestrate complex multi-step processes. Mastra workflows use an intuitive syntax for control flow (.then(), .branch(), .parallel())
• Human-in-the-loop - Suspend an agent or workflow and await user input or approval before resuming. Mastra uses storage to remember execution state, so you can pause indefinitely and resume where you left off
• Context management — - Give your agents the right context at the right time. Provide conversation history, retrieve data from your sources (APIs, databases, files), and add human-like memory with Observational Memory so your agents behave coherently
• MCP servers - Author Model Context Protocol servers, exposing agents, tools, and other structured resources via the MCP interface. These can then be accessed by any system or agent that supports the protocol
• Production essentials — - Shipping reliable agents takes ongoing insight, evaluation, and iteration. With built-in evals and observability, Mastra gives you the tools to observe, measure, and refine continuously

Tools it exposes

Once connected, the assistant can call this tool directly:

• Integrations — Bundle agents and workflows into existing React, Next.js, or Node.js apps, or ship them as standalone endpoints. When building UIs, integrate with agentic

Installing the mastra/mcp mcp server

The server is distributed via npm as bgproc, so most clients can run it without a manual build step. Add it to your MCP client's configuration and restart the client to pick it up — the copy-paste configs for Claude Desktop, Claude Code and Cursor are on this page.

Where it fits

AI-service servers chain other models into your assistant, turning a single chat into a small production pipeline. Mastra/MCP sits in that group, and the shape of its toolset — Integrations — tells you what it is really for. Worth comparing against the other ai services servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.

Practical notes

• This server runs locally, so it operates with whatever access your machine and its credentials already have. Scope that deliberately rather than by default.
• Written in TypeScript.
• MCP clients ask for confirmation before each tool call by default. Keep that on while you learn what the mastra/mcp mcp server actually does with your data.
• Every entry in this directory is reviewed by hand before it goes live, and details are checked against the project's own documentation.