MCP Servers: The Explosion of Custom Integrations (And the Death of REST)
The Model Context Protocol (MCP) has quietly become the most important standard in AI. It's the 'USB for LLMs' that makes REST APIs look like Stone Age technology.
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The USB for LLMs
The Model Context Protocol (MCP) has quietly become the most important standard in AI. It's the 'USB for LLMs.' Suddenly, developers are releasing MCP Servers for everything—Postgres, Slack, Linear, Notion. It's the universal connector we've been waiting for, and it's killing the concept of 'building a plugin' for every single model.
No More Custom Plugins
Before MCP, if you wanted Claude to talk to your database, you had to write a custom tool definition. Then you had to rewrite it for GPT-4. Then for Llama. It was a nightmare. Now, you just run an MCP Server. The model auto-discovers the schema, the capabilities, and the permissions. It's plug-and-play intelligence.
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The Ecosystem Boom
GitHub is exploding with mcp-server-* repos. We have servers for controlling Spotify, managing AWS infrastructure, and even trading crypto. It's the new 'App Store' moment, but for agent tools. If you are building a SaaS in 2026 and you don't have an MCP server, you are invisible to the AI workforce.
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Standardization Wins
MCP proves that the key to AI utility isn't smarter models; it's standard interfaces. When the model knows how to talk to the world, the world opens up. We are moving from 'Chatbots' to 'Actionbots', and MCP is the language they speak.
