is a way to build integrations for AI models.Model Context Protocol (MCP) Vercel now supports deploying MCP servers (which AI models can connect to) as well as MCP clients ( applications which call the servers).AI chatbot Get started with our today.Next.js MCP template APIs allow different services to communicate together. MCP is slightly different. Rather than thinking about MCP like a REST API, you can instead think about it like a tailored toolkit that helps an AI achieve a particular task. There may be multiple APIs and other business logic used behind the scenes for a single MCP tool.

If you are already familiar with , MCP is a way to invoke tools hosted on a different server.tool-calling in AI MCP now supports a protocol similar to other web APIs, namely using HTTP and OAuth. This is an improvement from the previous stateful protocol.Server-Sent Events (SSE) To simplify building MCP servers on Vercel, we’ve published a , , which supports both the older SSE transport and the newer stateless HTTP transport.new package@vercel/mcp-adapter The majority of MCP clients currently only support the SSE transport option. To handle state required for the SSE transport, you can…