by mastra-ai
Mastra Docs: AI assistants with direct access to Mastra.ai’s full knowledge base for faster, smarter support and insight
Gives AI assistants direct access to Mastra.ai's complete documentation and knowledge base for answering questions about the TypeScript AI framework.
Mastra Docs is an official MCP server published by mastra-ai that provides AI assistants with tools and capabilities via the Model Context Protocol. Mastra Docs: AI assistants with direct access to Mastra.ai’s full knowledge base for faster, smarter support and insight It is categorized under productivity, developer tools.
You can install Mastra Docs in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
NOASSERTION
Mastra Docs is released under the NOASSERTION license.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Mastra Docs is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Mastra Docs has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Useful MCP listing: Mastra Docs is the kind of server we cite when onboarding engineers to host + tool permissions.
According to our notes, Mastra Docs benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
According to our notes, Mastra Docs benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Useful MCP listing: Mastra Docs is the kind of server we cite when onboarding engineers to host + tool permissions.
We evaluated Mastra Docs against two servers with overlapping tools; this profile had the clearer scope statement.
I recommend Mastra Docs for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Strong directory entry: Mastra Docs surfaces stars and publisher context so we could sanity-check maintenance before adopting.
We wired Mastra Docs into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
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Mastra is a framework for building AI-powered applications and agents with a modern TypeScript stack.
It includes everything you need to go from early prototypes to production-ready applications. Mastra integrates with frontend and backend frameworks like React, Next.js, and Node, or you can deploy it anywhere as a standalone server. It's the easiest way to build, tune, and scale reliable AI products.
Purpose-built for TypeScript and designed around established AI patterns, Mastra gives you everything you need to build great AI applications out-of-the-box.
Some highlights include:
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 working and semantic memory so your agents behave coherently.
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 libraries like Vercel's AI SDK UI and CopilotKit to bring your AI assistant to life on the web.
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.
The recommended way to get started with Mastra is by running the command below:
npm create mastra@latest
Follow the Installation guide for step-by-step setup with the CLI or a manual install.
If you're new to AI agents, check out our templates, course, and YouTube videos to start building with Mastra today.
Visit our official documentation.
Learn how to make your agent a Mastra expert by following the Build with AI guide.
Looking to contribute? All types of help are appreciated, from coding to testing and feature specification. Read CONTRIBUTING.md for more details on how to get involved.
If you are a developer and would like to contribute with code, please open an issue to discuss before opening a Pull Request.
Information about the project setup can be found in the development documentation
We have an open community Discord. Come and say hello and let us know if you have any questions or need any help getting things running.
It's also super helpful if you leave the project a star here at the top of the page
This repository uses a dual-license model:
ee/ (e.g., packages/core/src/auth/ee/) is source-available under the Mastra Enterprise License. These features require a valid enterprise license for production use but can be freely used for development and testing.See LICENSE.md for the full license mapping and ee/LICENSE for the enterprise license terms.
We are committed to maintaining the security of this repo and of Mastra as a whole. If you discover a security finding we ask you to please responsibly disclose this to us at [email protected] and we will get back to you.
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.