"Next.js" matching MCP servers:

Provides AI agents with access to a comprehensive database of 200+ Next.js documentation URLs for intelligent document selection and retrieval. Enables Claude and other AI assistants to analyze user queries and recommend the most relevant Next.js documentation pages.

A sample MCP server implementation for Next.js projects that uses the Vercel MCP Adapter to handle protocol requests across different transport methods.

A template MCP server built with Next.js using the Vercel MCP Adapter. Provides a framework for deploying MCP servers with custom tools, prompts, and resources on Vercel with SSE transport support.

Provides specialized development tools and utilities for Next.js, allowing AI agents to perform runtime diagnostics and access official documentation. It enables automated context initialization and real-time interaction with Next.js development servers to query application state.

A utility tool that analyzes Next.js application routes and provides detailed information about API paths, HTTP methods, parameters, status codes, and request/response schemas.

Enables MCP-compatible clients to inspect Next.js codebases, analyze App Router and Pages Router structure, discover API routes, and audit build performance through controlled tools.

Enables AI assistants to automate Next.js development including project scaffolding, React component generation, API route creation, and full-stack application workflows with TypeScript and Tailwind CSS support.

A minimal Next.js starter for building MCP Apps, enabling MCP hosts to render interactive UIs alongside tool calls via an MCP server endpoint and a React widget UI.

A template for deploying Model Context Protocol servers as Next.js routes using the mcp-handler adapter, enabling easy integration of MCP tools, prompts, and resources into any Next.js application.

Provides up-to-date Next.js 16 documentation to MCP clients, enabling instant lookups, version-specific examples, and secure use inside IDE assistants.

A template for building MCP servers in Next.js applications using the Vercel MCP Adapter. Provides a foundation for adding custom tools, prompts, and resources to any Next.js project with deployment support on Vercel.

A sample implementation of a Model Context Protocol server using Next.js and the Vercel MCP Adapter, allowing developers to create AI assistants with custom tools and resources.

Provides current Next.js 16 documentation to AI assistants, enabling version-accurate lookups, code generation, and configuration guidance for App Router, Pages Router, Server Components, and Tailwind CSS v4.

A template for integrating Model Context Protocol (MCP) servers into Next.js projects using the Vercel MCP Adapter. It enables developers to deploy MCP tools, prompts, and resources as API routes with optional support for Server-Sent Events.

Enables AI chat integrations to manage todo lists by providing tools for adding, listing, updating, and deleting tasks. It is built with Hono and supports flexible deployment options including Cloudflare Workers with D1 persistence.

A Next.js MCP server template using mcp-handler 2 and the MCP TypeScript SDK v2, providing a stateless MCP server for App Router applications with built-in support for the 2026-07-28 protocol and compatibility with 2025-era Streamable HTTP clients.

Enables secure MCP server functionality with Clerk authentication and user-specific API key management. Provides Next.js documentation tools through protected endpoints with multiple authentication methods including OAuth 2.1 with PKCE.

A sample implementation of Model Context Protocol server using Next.js and the Vercel MCP Adapter, allowing developers to create custom AI agent backends with tools, prompts, and resources.

Enables adding a stateless MCP server to a Next.js App Router application, supporting tools, prompts, and resources over Streamable HTTP and the current MCP protocol.

A drop-in MCP server implementation for Next.js projects using Vercel MCP Adapter, allowing developers to integrate model context protocol functionality with custom tools, prompts, and resources.