The Model Context Protocol (MCP) standardizes how to build integrations for AI models, and a new adapter has been created to help developers create their own MCP servers using popular frameworks such as Next.js, Nuxt, and SvelteKit. The adoption of MCP has grown significantly, with companies like Zapier, Composio, Vapi, and Solana deploying their own MCP servers on Vercel, resulting in substantial growth. However, scaling MCP servers reveals limitations in the original design, particularly with the inefficient Stream-Sent Events (SSE) transport method, which has been replaced by the more efficient Streamable HTTP protocol in a new version of the MCP specification. The MCP adapter provides built-in support for both Streamable HTTP and SSE, allowing server developers to choose the most efficient option. With the introduction of Streamable HTTP, MCP servers can now be optimized for efficiency, and forward compatibility is ensured through the use of proxy packages like mcp-remote. The MCP ecosystem continues to evolve quickly, with Fluid compute and the MCP adapter enabling developers to build MCP servers that support both current and future clients.