Blog — Apr 2025
Updates, tutorials, and engineering deep-dives on building AI agents, workflows, and TypeScript tooling with Mastra.
Building a Web Browsing Agent with Mastra and Stagehand
See how we built a web browsing agent using Mastra and Stagehand. Learn about the tools needed to allow your agents to control a browser.
Dynamic Agents: Inserting Runtime Context in Mastra
Mastra's dynamic agents provide a powerful way to handle context in AI applications, without exposing sensitive information to the LLM or relying on globals.
Introducing MCP Server Support in Mastra
Create and share your AI tools with the Model Context Protocol (MCP) - now available in our latest stable release.
AI with JavaScript in 2025
A dive into four leading open-source JS AI libraries: Vercel AI SDK for model routing, Mastra for agents and workflows, Langfuse for observability, and Stagehand for web automation.
Choosing a JavaScript Agent Framework
When choosing a JavaScript agent framework, consider the needs of your project and the team's expertise. Mastra and LangGraph.js are two leading options.
Building a Personal Assistant with Mastra and MCP
How we built a personal assistant that can manage emails, monitor GitHub activity, schedule social media posts, and more - all through a Telegram interface.
Mastra Changelog 2025-04-16
Mastra's latest updates: MCP registry registry, model settings in Playground UI, and new Memory docs
PDF-to-Blog: Giving documents a second life with Mastra and Mistral OCR
A technical guide showing how to build a PDF-to-blog converter using Mastra and Mistral OCR
Introducing Mastra's MCP Registry Registry
Mastra's MCP Registry Registry simplifies the process of finding MCP registries.
Mastra Text-to-SQL: from natural language to database queries
Use Mastra's Text-to-SQL system to convert natural language to database queries
Mastra Changelog 2025-04-02
Mastra's Latest Updates: API routing, memory processors, and more
Mastra Storage: a flexible storage system for AI Applications
A look at how Mastra's storage system simplifies building AI applications by managing workflows, memory, traces, and eval data with flexible storage backends.