"Next.js" matching MCP servers:

Automatically generates typed React hooks for Next.js projects by crawling API routes, GraphQL queries, and components. Analyzes pages to suggest optimal render modes (SSR/CSR/ISR) and produces documentation with performance guidance.

Analyze React render performance in Next.js apps. Detects rerender storms, commit spikes, and slow components.

An MCP server that lets an AI agent drive and inspect a running Next.js app, with headless route/error introspection and a real DOM-based in-page bridge for interactive testing.

Enables database interaction for a Next.js application using Prisma, supporting queries and mutations through natural language.

Gives AI coding assistants live access to the Hyperiux Vault catalog of React and Next.js animation effects. Search effects, inspect dependencies and installation instructions, and retrieve source for free effects.

Analyze V8/Chrome CPU profiles in Next.js & Node.js apps. Hotspots, package cost attribution, and optimization suggestions for MCP clients like Claude Code and GitHub Copilot

Security MCP server with 300+ rules for AI-generated code. Scans Next.js, Supabase, Clerk, Stripe, Prisma, Hono, GraphQL and 20+ modules. Zero config, runs locally.

Probes your live API and classifies why each endpoint failed (root cause, evidence, and a calibrated confidence level), exposed over MCP so your AI assistant debugs from evidence instead of guessing. Works with FastAPI, Express, Next.js, tRPC, and GraphQL.

MCP server that scans Next.js projects and returns a compact summary of routes, API endpoints, schema, and security issues.

Framework-aware code intelligence MCP server that builds a cross-language dependency graph from source code. 53 integrations (Laravel, Django, Rails, Spring, NestJS, Next.js, and more) across 68 languages. 100+ tools for navigation, impact analysis, refactoring, security scanning, session memory, and CI/PR reports — up to 97% token reduction.

MCP Server for Next.js build & bundle analysis. Chunk size, shared chunk attribution, and code-split suggestions for MCP clients

A comprehensive MCP server for frontend analysis. It provides Google Lighthouse audits, code quality checks, SEO metadata verification, accessibility analysis, and bundle optimization for React and Next.js projects.

Persistent daemon that compresses codebases via AST body folding before indexing them for AI coding assistants like Claude Code and Cursor 57-89% token reduction with sub-millisecond queries, verified on Django, Spring, and Next.js.

Enables coding agents to run Playwright e2e tests, validate Supabase RLS policies with role-based SQL, typecheck TypeScript, execute npm scripts with parsed test output, and validate Next.js builds, all through a structured MCP interface.

Indexes any TypeScript / React / Next.js repo into a queryable code graph and exposes 13 MCP tools — who-renders, who-calls, find-references, blast-radius, find-cycles, dead-code orphans, and local semantic search — so agents query structure instead of reading whole files. Built on ts-morph, so edges are resolved, not grepped.

A unified MCP server for scaffolding project structures across multiple frameworks including Spring Boot, React, Vue, Next.js, FastAPI, Django, Flask, Express, and more.

A comprehensive MCP implementation designed for fullstack development that enables code manipulation, terminal command execution, and system notifications. It provides an intelligent agent interface powered by Gemini to automate Python and Next.js development workflows.

Enables execution of terminal commands, git operations, and automated setup of React, Vue, and Next.js projects with VSCode integration.

Sub-1ms cross-stack AST contract layer and compiler verification engine mapping React/Next.js routes to FastAPI and SQLAlchemy models for AI coding agents.

Centralized MCP server that provides standardized development workflow commands to Cursor AI, auto-detecting project type (Laravel, Next.js, Flutter, Architecture) and offering relevant commands for implementation, testing, and commits.