No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by vercel · MCP Server · ★ 820
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is next-devtools-mcp safe to install? View the security audit →
Next.js DevTools MCP is a Model Context Protocol (MCP) server that provides Next.js development tools and utilities for coding agents like Claude and Cursor. Getting Started Requirements Node.js v20.19 or a newer latest maintenance LTS version npm or pnpm Install with add-mcp Install the MCP server for all your coding agents: Add to skip the confirmation prompt and install to all detected agents already in use in the project directory. Add to install globally across all projects. Manual installation Add the following config to your MCP client: [!NOTE] Using ensures that your MCP client will always use the latest version of the Next.js DevTools MCP server. MCP Client Configuration Amp Using Amp CLI: Or configure manually: Follow Amp's MCP documentation and apply the standard configuration shown ab
| Stars | 820 |
| Forks | 65 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 71.5002646185351/100 |
| Open Issues | 10 |
| Last Updated | 2026-09-15 |
| Created | 2025-10-13 |
| Platforms | mcp, node |
| Est. Tokens | ~19k |
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next-devtools-mcp is Next.js Development for Coding Agent. It is categorized as a MCP Server with 820 GitHub stars.
next-devtools-mcp is primarily written in TypeScript. It covers topics such as coding-agents, mcp, mcp-server.
You can find installation instructions and usage details in the next-devtools-mcp GitHub repository at github.com/vercel/next-devtools-mcp. The project has 820 stars and 65 forks, indicating an active community.
The top alternatives to next-devtools-mcp on Agent Skills Hub include better-chatbot, context-space, memorix. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: