#vercel

Template Vault is an AI-native website builder. Connect it once and your AI can generate a complete one-page website from a business brief in under a minute — real running URL, real Vercel deployment, custom domain on Pro+ tier. Six tools: `discover_business_needs` (interview the user before generating), `list_personalities`, `generate_site`, `get_generation_status`, `list_user_sites`, `publish_site`. Quotas tied to the user's Template Vault plan, so MCP calls don't bypass billing. The discovery-first workflow is the unusual bit — most MCP servers expose CRUD tools; ours expose a guided pipeline that makes the AI a better website-builder than a one-shot prompt would. Auth: OAuth 2.1 with PKCE. Works in claude.ai's "Add custom connector" flow with no manual client registration — paste the URL, click Allow, done.

AI agent readability scanner — score any public URL against the Vercel Agent Readability Spec, llmstxt.org, and 6 agent-protocol manifests (MCP, A2A, agents.json, agent-permissions, UCP, x402). 59 checks with per-check fix guidance. Same engine as agent-ready.dev.

Cross-cloud observability for AI agents. Discover resources, correlate logs, and diagnose infrastructure issues across AWS, GCP, Vercel, and Cloudflare — without leaving your editor.

Burnwatch detects every paid service in your project, tracks spend across 14 AI-native tools (Anthropic, OpenAI, Vercel, Supabase, Stripe, Scrapfly, Browserbase, and more), and exposes real-time cost data via MCP tools — so any LLM can factor budget into its recommendations. Four tools: get_spend_brief (full project spend overview), get_service_spend (single service deep dive with gotchas and alternatives), detect_paid_services (scan any project), list_registry_services (browse the registry). Zero dependencies. Works with Claude Code, Cursor, or any MCP-enabled client.

Deploy Next.js applications, manage projects, and configure domains with Vercel integration. Automatic deployments and preview URLs.

QuerySculptor is a GraphQL query builder designed for AI agents that provides 26 structured tools via the Model Context Protocol (MCP). Instead of generating complex GraphQL queries from scratch, AI agents can build queries step-by-step with real-time validation, schema introspection, and error prevention. It works with Claude, Cursor, and other MCP clients, using Redis for session management and featuring a live demo with the Pokemon API. The tool transforms the traditional error-prone approach of raw GraphQL generation into a guided, conversational workflow perfect for AI assistants and chatbots.

Interactive dashboard for analyzing ETFs using both real time API data and historical data pulled through yfinance endpoints

MCP Server on Vercel template

Example of creating a MCP server with Nuxt & Vercel.

Add mcp servers to vercel's open source ai chat

Lightweight MCP server to give your Cursor Agent access to the Vercel API.

Suiware AI Tools and MCP Server

测试 vercel-mcp-server 是否成功的项目

🚀 Open source MCP Client: A Multi-provider AI Chatbot Solution

Servidor MCP centralizado hospedado no Vercel

Mirror of

An MCP Compliant Server that defines 9 tools for working with Vercel deployment data.

This repository contains a ready-to-use Model Context Protocol (MCP) server that supercharges your development workflow. As a new developer, I created this tool to consolidate documentation and streamline my development process—now I'm sharing it with you.

Lightweight MCP server to give your Cursor Agent access to the Vercel API.