Vercel MCP Integration
# Vercel MCP Integration A Model Context Protocol (MCP) integration for Vercel's REST API, providing programmatic access to Vercel deployment management through AI Assistants…
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
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# Vercel MCP Integration A Model Context Protocol (MCP) integration for Vercel's REST API, providing programmatic access to Vercel deployment management through AI Assistants…
Hello World (UV Runtime) MCP Server: Simple MCP server using UV runtime.
# MCP Server GDB A GDB/MI protocol server based on the MCP protocol, providing remote application debugging capabilities with AI assistants. ## Features -…
全域主动智能 AI 记忆操作系统 | 全栈 Cyberpunk Glassmorphism 设计 | 融合 GraphRAG 与向量检索的“第二大脑” (v3.0 Production Ready).
Eval-backed web-access tool discovery for AI agents — one MCP server picks the best search, scraping, browser-automation or voice provider for a job… 4…
Voleeo MCP Server: MCP integration for Voleeo workflows.
Personal AI phone-call agent with call-history access and independently checked results.
Harbor is a native macOS app that boots all your local dev servers with one button: smart port allocation probed on both IPv4 and…
Your workspace-driven AI assistant for complex development. Mitti combines hybrid SQLite memory with seamless Model Context Protocol (MCP) tool…
Safe folder cleanup for Claude via MCP: dry-run preview, category sorting, full undo. Free sample from the MCP Starter Kit.
ViralQuery gives agents the top viral organic videos for mobile apps.
# MCP Server for Quran.com API MCP server to interact with Quran.com corpus via the official [REST API v4](https://api-docs.quran.com/docs/content_apis_versioned/4.0.0/content-apis). ## Overview This is a…
An MCP server exposes tools or data through the Model Context Protocol so a compatible AI client can use them. Each project has its own installation, authentication and permission requirements.
Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.
Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.