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yt-mem-ai

MCP server · by dasein108

Developer Tools Python v0.6.3

Local YouTube memory: transcribe, embed and search videos, with summaries and highlights.

View source ↗ More servers

Install

Run one of the commands below, then add the client config underneath.

Pythonuvx yt-mem-ai

Client configuration

Paste into Claude Desktop, Cursor (mcp.json), VS Code or any MCP client, then restart the client.

mcpServers{
  "mcpServers": {
    "yt-mem-ai": {
      "command": "uvx",
      "args": [
        "yt-mem-ai"
      ]
    }
  }
}

About this server

yt-mem-ai is listed in the Developer Tools category of the MCPNav directory. It is distributed as Python and can be loaded by any client that speaks the Model Context Protocol.

Typical uses include giving your assistant scoped access to the corresponding service so it can answer questions and take actions with real data instead of guessing. Always review what a server can access before you enable it — see our MCP security guide.

Frequently asked questions

What is the yt-mem-ai MCP server?

yt-mem-ai is an MCP server by dasein108. Local YouTube memory: transcribe, embed and search videos, with summaries and highlights.

How do I install yt-mem-ai?

Install it with: uvx yt-mem-ai. Then add the JSON config to your client's MCP settings and restart the client.

Is yt-mem-ai free to use?

The MCP server itself is free to install. The source is public on https://github.com/dasein108/yt-mem-ai. Any third-party API it calls (such as a search or maps API) may require its own key and billing.

Which clients support yt-mem-ai?

Any MCP-compatible client can use it, including Claude Desktop, Cursor, VS Code, Windsurf and custom agents.