tl;dv is a Productivity MCP server that lets Claude Code, Cursor, Windsurf and any MCP-compatible AI agent aI meeting assistant for Google Meet, Zoom, and Microsoft Teams. Install in 1 minute with mcpizy install tldv.
Productivity
AI meeting assistant for Google Meet, Zoom, and Microsoft Teams. Record, transcribe, and summarize.
mcpizy install tldvnpx -y @tldv/mcp-serverIf tl;dv doesn't fit your stack, these Productivity MCP servers solve similar problems.
The tl;dv MCP server is an Productivity Model Context Protocol server that lets Claude Code, Cursor, Windsurf, VS Code with Copilot, and other MCP-compatible AI agents aI meeting assistant for Google Meet, Zoom, and Microsoft Teams. It exposes tl;dv's capabilities as tools the AI can call directly from your editor or CLI.
The fastest way is the MCPizy CLI: run `mcpizy install tldv` and MCPizy will add the server to your `.claude.json` automatically. You can also install it manually by adding an entry under `mcpServers` in `.claude.json` with the command `npx -y @tldv/mcp-server` and restarting Claude Code.
Yes. The tl;dv MCP server is free and open source (see the GitHub repository linked on this page). You may still need a tl;dv account or API key to connect the server to the underlying service, but the MCP layer itself has no MCPizy subscription cost.
Yes. Any MCP-compatible client works — including Claude Code, Claude Desktop, Cursor (via `.cursor/mcp.json`), Windsurf, VS Code with Copilot Chat, and custom agents built on the MCP SDK. The same install command targets all of them; only the config file path differs.
Once installed, your AI agent can aI meeting assistant for Google Meet, Zoom, and Microsoft Teams directly inside your conversation. Typical use cases include asking Claude Code or Cursor to run tl;dv operations, inspect results, chain tl;dv with other MCP servers (see our Workflow Recipes), and automate repetitive productivity tasks without leaving your editor.