Open Browser Use
Platform-neutral Browser Use for AI agents: real Chrome automation with a CLI + SDKs, no lock-in, dead simple.
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
2781 servers · Page 214 of 232
Platform-neutral Browser Use for AI agents: real Chrome automation with a CLI + SDKs, no lock-in, dead simple.
Remote MCP server for historical crypto & prediction-market data: search ~500K instruments, live market stats (OHLC, turnover, spreads, depth…
响应快 省Token, Let AI agents (Claude Code, Codex, any MCP client) drive a real iPhone · 让 AI agent 操作真实 iPhone:读屏、点击、输入、滑动,USB 或 Wi-Fi,自有 XCTest…
Fund Momentum MCP Server — VC intelligence for AI assistants. 920+ active VC funds, live investor signals, AI-powered startup matching. 5 tools, with
Run coding agents without babysitting them. Keep jobs focused, bounded, checked and accountable from start to finish.
Official MCP server for Dadan. Connect AI assistants to your recordings, transcripts, summaries, engagement analytics, captured leads, and video…
Zero-shot text classification over plain HTTP — no API key, no account. One Cloudflare Worker, a CLI, and an MCP server. https://classifier.dev.
PuzzleTide is a local-first MCP server for puzzle generation: a word search generator, crossword generator, and sudoku generator + solver in one… 15 tools…
Open-source design MCP server + shadcn/ui registry — AI design systems for Claude Code, Cursor, Codex, GitHub Copilot & any MCP client.
Hire vetted senior developers, draft job descriptions, and prepare technical interviews — right inside your Claude conversation.
Generate and edit images with GPT Image 2.5 for $0.029 each. A free you.bot key (not an OpenAI key) comes with 50 credits —…
Beever Atlas MCP Server: Your First LLM-Wiki Conversation Knowledge Base.
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.