I Use One MCP Endpoint for ChatGPT, Claude, Gemini, and Cursor

I Use One MCP Endpoint for ChatGPT, Claude, Gemini, and Cursor I use four AI agents daily. Claude Code coordinates my work. Gemini writes code. ChatGPT does web research. Claude Web is where I brainstorm. I also occasionally use Cursor and Windsurf. Every single one of them connects to the same URL. One endpoint. One API key per agent. Every tool I've registered — GitHub, Slack, Cloudflare, Exa, my database — is available to all of them, instantly, with the same DLP scanning and audit logging. This is what the MCP Hub does, and I want to explain why it matters in practice. The Problem I Had Before the hub, connecting MCP servers to multiple agents was a nightmare. Each agent has its own config format: Claude Code: ~/.claude.json with mcpServers entries Cursor: .cursor/mcp.json in each project ChatGPT: Developer Mode UI, one connector at a time Gemini CLI: .gemini/settings.json Same GitHub MCP server. Four different config files. Four different places storing the same token. When I rota