Acornonaut Mcp Server

by zerolve-io

220 downloads
Not rated
GitHub

Description

# Acornonaut MCP Server ![MCP](https://img.shields.io/badge/MCP-compatible-green) Acornonaut is **AI-powered video learning**: turn YouTube playlists into high-quality flashcards, then query your learning library directly from any MCP-compatible AI client. This repository is a…

About

# Acornonaut MCP Server ![MCP](https://img.shields.io/badge/MCP-compatible-green) Acornonaut is **AI-powered video learning**: turn YouTube playlists into high-quality flashcards, then query your learning library directly from any MCP-compatible AI client. This repository is a thin public wrapper for the hosted…

Details

Author
zerolve-io
Downloads
220
Categories
Productivity, Other

- Turn YouTube playlists into high-quality flashcards.
- Query your learning library from any MCP client.
- Full-text search across all flashcards.
- Export decks to APKG, CSV, or JSON.
- Check plan usage with the get_quota tool.
- Paginated listing of playlists and cards.

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Acornonaut Mcp Server
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Configure your MCP client with the endpoint https://acornonaut.app/api/mcp, transport streamable-http, and your Acornonaut API key in the Authorization header. Then use the provided tools such as list_playlists, create_playlist, search_cards, and export_deck. Sample configurations for Claude Desktop, Cursor, Windsurf, VS Code, OpenClaw, and mcporter are included.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "acornonaut mcp server": {
            "acornonaut": {
                "url": "https://mcp.acornonaut.app"
            }
        }
    }
}

McpServers

{
    "acornonaut": {
        "url": "https://mcp.acornonaut.app"
    }
}

Acornonaut MCP Server

MCP

Acornonaut is AI-powered video learning: turn YouTube playlists into high-quality flashcards, then query your learning library directly from any MCP-compatible AI client.

This repository is a thin public wrapper for the hosted Acornonaut MCP endpoint (no server source code).

Endpoint

- Transport: Streamable HTTP
- URL: https://acornonaut.app/api/mcp
- Full docs: https://acornonaut.app/docs/mcp

Authentication

Use your Acornonaut API key in either header:

- Authorization: Bearer <your_api_key> (recommended)
- x-api-key: <your_api_key>

> Keep your API key secret. Never commit it to source control.

Quick Connect

Claude Desktop

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "acornonaut": {
      "url": "https://acornonaut.app/api/mcp",
      "headers": {
        "Authorization": "Bearer ak_your_api_key_here"
      }
    }
  }
}

Cursor

~/.cursor/mcp.json

{
  "mcpServers": {
    "acornonaut": {
      "url": "https://acornonaut.app/api/mcp",
      "transport": "streamable-http",
      "headers": {
        "Authorization": "Bearer ak_your_api_key_here"
      }
    }
  }
}

Windsurf

Use MCP Server settings and provide:

- Name: acornonaut
- URL: https://acornonaut.app/api/mcp
- Transport: streamable-http
- Header: Authorization: Bearer ak_your_api_key_here

Or JSON form:

{
  "mcpServers": {
    "acornonaut": {
      "url": "https://acornonaut.app/api/mcp",
      "transport": "streamable-http",
      "headers": {
        "Authorization": "Bearer ak_your_api_key_here"
      }
    }
  }
}

VS Code (MCP-compatible extensions)

For MCP extensions that accept JSON config:

{
  "mcpServers": {
    "acornonaut": {
      "url": "https://acornonaut.app/api/mcp",
      "transport": "streamable-http",
      "headers": {
        "Authorization": "Bearer ak_your_api_key_here"
      }
    }
  }
}

OpenClaw / mcporter

OpenClaw-style config snippet

{
  "mcpServers": {
    "acornonaut": {
      "url": "https://acornonaut.app/api/mcp",
      "transport": "streamable-http",
      "headers": {
        "Authorization": "Bearer ak_your_api_key_here"
      }
    }
  }
}

mcporter example

mcporter call acornonaut list_playlists '{}'

Tool Reference

Acornonaut currently exposes the following MCP tools:

| Tool | Parameters | Description |
|---|---|---|
| list_playlists | page?: number, limit?: number | List your playlists with status and pagination. |
| get_playlist | id: string | Get one playlist with videos and associated cards. |
| create_playlist | url: string | Create a playlist from a YouTube URL and start processing. |
| get_cards | playlistId: string, page?: number, limit?: number | Fetch paginated flashcards for a playlist. |
| search_cards | query: string, limit?: number | Full-text search across your flashcards. |
| get_quota | _none_ | Check plan limits and current usage/quota status. |
| export_deck | playlistId: string, format?: "apkg" | "csv" | "json" | Export a playlist deck for external study tools. |

Example (curl)

curl -s -X POST https://acornonaut.app/api/mcp \
  -H "Authorization: Bearer ak_your_api_key_here" \
  -H "Content-Type: application/json" \
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "tools/call",
    "params": {
      "name": "list_playlists",
      "arguments": { "page": 1, "limit": 10 }
    }
  }'

Why Acornonaut 🎯

- Turn long-form YouTube learning into active recall
- Build reusable knowledge decks from playlists
- Query and review knowledge from your AI tools

Links

- Product: https://acornonaut.app
- MCP docs: https://acornonaut.app/docs/mcp

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