<ul data-eligibleForWebStory="true"><li>The AI revolution isn’t just about chat, it’s about getting things done.</li><li>Model Context Protocol (MCP) unlocks AI capabilities to perform tasks like syncing Jira with Notion.</li><li>MCP transforms AI agents from talkers to doers, opening up opportunities for early adopters to innovate.</li><li>MCP serves as the interface for AI agents to interact with the real world through tools, resources, and prompts.</li><li>Building an MCP server allows developers to connect AI agents with tools, resources, and prompts to perform tasks.</li><li>Monetization opportunities exist by offering AI tools like CSV cleaners or price watchers through MCP.</li><li>MCP presents early-stage app store potential for AI tools interacting with various APIs and data sources.</li><li>Developers can build, deploy, and scale MCP tools either using Python-based FastMCP or Cloudflare Workers.</li><li>Security measures, modularity, marketing strategies, and rapid iteration are essential for successful MCP tool development.</li><li>MCP empowers developers to leverage AI to build AI tools efficiently and profitably for diverse real-world tasks.</li></ul>

The Dev-First Playbook to MCP: Build smarter AI interfaces and actually make money

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