makemkv-mcp
Integrates MakeMKV with the Model Context Protocol to enable scanning, ripping, and backing up optical discs through natural language commands. It features a persistent job queue, automated ripping strategies, and real-time status notifications via Discord or webhooks.
README
makemkv-mcp
What is this?
makemkv-mcp is a standalone Model Context Protocol (MCP) server that wraps the makemkvcon command-line tool, exposing disc ripping capabilities as tools that any MCP-compatible client (Claude Desktop, Hivemind, etc.) can call. It runs on the machine with MakeMKV installed and an optical drive attached. The MCP client connects to it remotely via Streamable HTTP or locally via stdio.
Features
- Scan optical drives and detect loaded discs
- Scan disc contents — titles, streams, durations, sizes, codecs
- Rip individual titles or all titles as async background jobs
- Full disc backup
- Persistent job queue with real-time progress tracking (SQLite-backed)
- Auto-rip daemon with configurable strategies (
longest,all,min_duration) - Discord webhook and generic webhook notifications
- Agent callback notifications for rip lifecycle events
- Cross-platform support (Linux, macOS, Windows)
- Runs over stdio (local) or Streamable HTTP (remote/network)
Quick Start
From source
git clone https://github.com/hivementality/makemkv-mcp.git
cd makemkv-mcp
pip install .
makemkv-mcp
With pip
pip install .
# Run locally (stdio)
makemkv-mcp
# Run on the network (HTTP)
makemkv-mcp --transport streamable_http --port 8099
With Docker
docker-compose up -d
Installation
Prerequisites
- Python 3.10+
- MakeMKV with
makemkvconin your PATH — download here - An optical drive (Blu-ray, DVD, etc.)
Linux
# Install MakeMKV (Ubuntu/Debian example)
sudo apt install makemkv-bin makemkv-oss
# Install makemkv-mcp
git clone https://github.com/hivementality/makemkv-mcp.git
cd makemkv-mcp
./install.sh
The installer will offer to set up a systemd service for auto-start.
macOS
# Install MakeMKV from https://www.makemkv.com/
git clone https://github.com/hivementality/makemkv-mcp.git
cd makemkv-mcp
./install.sh
The installer will offer to set up a launchd service for auto-start.
Windows
# Install MakeMKV from https://www.makemkv.com/
git clone https://github.com/hivementality/makemkv-mcp.git
cd makemkv-mcp
.\install.ps1
The installer will offer to create a scheduled task for auto-start at login.
Configuration
Generate the default config file:
makemkv-mcp --init-config
This writes to the platform-specific default location:
| Platform | Config path |
|---|---|
| Linux | ~/.config/makemkv-mcp/config.yaml |
| macOS | ~/Library/Application Support/makemkv-mcp/config.yaml |
| Windows | %APPDATA%\makemkv-mcp\config.yaml |
You can also pass --config /path/to/config.yaml or set the MAKEMKV_MCP_CONFIG environment variable.
Full config reference
server:
host: "0.0.0.0" # Bind address for HTTP transport
port: 8099 # Port for HTTP transport
transport: "stdio" # "stdio" or "streamable_http"
makemkv:
binary: "makemkvcon" # Path or name of makemkvcon binary
default_output: "~/makemkv-output" # Default rip output directory
min_title_length: 120 # Minimum title duration (seconds) for auto-rip filtering
timeout: 7200 # Max seconds for a single rip operation
auto_rip:
enabled: false # Enable auto-rip on disc insertion
poll_interval: 30 # Seconds between drive polls
strategy: "longest" # Title selection: "longest", "all", or "min_duration"
eject_after: true # Eject disc after successful rip
notifications:
agent_notify: true # Send notifications back to MCP agent
discord_webhook: null # Discord webhook URL
webhook_url: null # Generic webhook URL (POST JSON)
Usage
With Claude Desktop (stdio)
Add to your claude_desktop_config.json:
{
"mcpServers": {
"makemkv": {
"command": "makemkv-mcp"
}
}
}
With Hivemind / Remote clients (Streamable HTTP)
Start the server on the machine with the optical drive:
makemkv-mcp --transport streamable_http --host 0.0.0.0 --port 8099
Then point your MCP client at it:
{
"mcpServers": {
"makemkv": {
"url": "http://YOUR_IP:8099/mcp"
}
}
}
With Docker
# Edit docker-compose.yaml to set your output path and drive device
docker-compose up -d
The container exposes port 8099 by default and expects the optical drive passed through as a device.
MCP Tools Reference
| Tool | Type | Description |
|---|---|---|
makemkv_list_drives |
read-only | List optical drives and disc status |
makemkv_scan_disc |
read-only | Scan disc for titles, streams, durations, sizes |
makemkv_rip_title |
action | Start ripping a single title (returns job ID immediately) |
makemkv_rip_all |
action | Start ripping all titles (returns job ID immediately) |
makemkv_backup_disc |
action | Full disc backup (returns job ID immediately) |
makemkv_job_status |
read-only | Check job progress, status, and result |
makemkv_list_jobs |
read-only | List recent jobs with optional status filter |
makemkv_cancel_job |
destructive | Cancel a queued or running job |
makemkv_eject |
action | Eject disc from drive |
makemkv_monitor |
action | Start, stop, or check status of the auto-rip monitor |
makemkv_get_config |
read-only | Get current configuration as YAML |
makemkv_set_config |
action | Update a config value at runtime (in-memory only) |
Tool details
makemkv_list_drives — Lists all detected optical drives with disc status. Returns a markdown table (or JSON). Shows disc name and device path for each drive.
makemkv_scan_disc — Scans a disc and returns all titles with their streams (video, audio, subtitle), durations, sizes, chapter counts, and output filenames. Highlights the longest title.
makemkv_rip_title / makemkv_rip_all / makemkv_backup_disc — All rip operations are async. They create a background job, return the job ID immediately, and the rip runs in the background. Use makemkv_job_status to check progress. The server prevents double-ripping the same drive.
makemkv_set_config — Takes a dot-separated key like auto_rip.enabled and a value. The value is automatically type-coerced to match the existing type. Changes are in-memory only (not persisted to disk), letting agents tweak settings without file writes.
Auto-Rip Mode
Auto-rip monitors your drives and automatically starts ripping when a disc is inserted.
Enable auto-rip
In config.yaml:
auto_rip:
enabled: true
poll_interval: 30
strategy: "longest"
eject_after: true
Or at runtime via an agent:
Agent: calls makemkv_set_config(key="auto_rip.enabled", value="true")
Agent: calls makemkv_monitor(action="start")
Strategies
| Strategy | Behavior |
|---|---|
longest |
Rips only the longest title (usually the main movie) |
all |
Rips every title on the disc |
min_duration |
Rips all titles longer than makemkv.min_title_length seconds |
How it works
- The monitor polls drives every
poll_intervalseconds - When a new disc is detected (via MD5 fingerprint of drive + disc name), it scans the disc
- Based on the strategy, it creates rip job(s)
- After a successful rip, the disc is optionally ejected
- Notifications are sent through all configured channels
Notifications
Discord webhooks
- Create a webhook in your Discord server (Server Settings > Integrations > Webhooks)
- Add the URL to your config:
notifications:
discord_webhook: "https://discord.com/api/webhooks/YOUR_ID/YOUR_TOKEN"
Discord notifications include color-coded embeds:
| Event | Color | Emoji |
|---|---|---|
| Disc detected | Blue | CD |
| Rip started | Orange | Arrows |
| Rip completed | Green | Check |
| Rip failed | Red | X |
| Disc ejected | Purple | Eject |
Embeds include fields for disc name, job ID, status, progress, duration, and errors as applicable.
Generic webhooks
For custom integrations (Home Assistant, Slack via incoming webhook, etc.):
notifications:
webhook_url: "https://your-service.com/hook"
The server POSTs JSON with this structure:
{
"event": "rip_completed",
"data": {
"id": "a3f7c2d1",
"job_type": "rip_title",
"disc_name": "INTERSTELLAR",
"status": "completed",
"progress": 100.0,
"duration_seconds": 2700.5,
"output_dir": "/output/INTERSTELLAR",
"result": {
"success": true,
"files": ["/output/INTERSTELLAR/title00.mkv"]
}
}
}
Agent Notifications
When notifications.agent_notify is true (the default), the server tracks rip lifecycle events internally. MCP agents see updated state the next time they call makemkv_job_status or makemkv_list_jobs — completed jobs will show their final status, output files, and duration.
Events tracked:
- disc_detected — a new disc was inserted
- rip_started — a rip job began processing
- rip_completed — a rip job finished successfully
- rip_failed — a rip job encountered an error
- disc_ejected — a disc was ejected after ripping
Example Conversations
These show what interacting with an agent connected to makemkv-mcp looks like:
"What drives do I have?"
User: What drives do I have?
Agent: Let me check your optical drives.
> calls makemkv_list_drives()
You have 1 optical drive:
Drive 0: BD-RE ASUS BW-16D1HT — Disc loaded: INTERSTELLAR (/dev/sr0)
"What's on the disc?"
User: What's on the disc?
Agent: Scanning the disc now...
> calls makemkv_scan_disc(drive_index=0)
Interstellar (INTERSTELLAR):
Title 0: Interstellar — 2:49:00 — 42.1 GB — 33 chapters (longest)
Title 1: Special Features — 0:45:12 — 8.2 GB
Title 2: Trailer — 0:02:30 — 350 MB
The main movie is Title 0 at 2h49m and 42.1 GB.
"Rip the main movie"
User: Rip the main movie.
Agent: Starting the rip now.
> calls makemkv_rip_title(drive_index=0, title_index=0)
Rip job started! Job ID: a3f7c2d1
Disc: Interstellar | Title: 0 | Output: ~/makemkv-output/Interstellar/
I'll check on it for you.
> calls makemkv_job_status(job_id="a3f7c2d1")
Job a3f7c2d1: running — 34.2%
[Later]
> calls makemkv_job_status(job_id="a3f7c2d1")
Done! Interstellar has been saved to ~/makemkv-output/Interstellar/title00.mkv
(42.1 GB). The disc has been ejected. Total time: 45 minutes.
"Start auto-ripping"
User: Turn on auto-rip so it grabs the main movie whenever I put a disc in.
Agent: I'll enable auto-rip with the "longest" strategy.
> calls makemkv_set_config(key="auto_rip.enabled", value="true")
> calls makemkv_monitor(action="start")
Auto-rip is now active. Whenever you insert a disc, I'll automatically
rip the longest title (usually the main movie) and eject the disc when done.
Development
# Clone and install in development mode
git clone https://github.com/hivementality/makemkv-mcp.git
cd makemkv-mcp
python -m venv .venv
source .venv/bin/activate # or .venv\Scripts\activate on Windows
pip install -e ".[dev]"
# Run tests
pytest
# Run tests with coverage
pytest --cov=makemkv_mcp
# Lint
ruff check .
Project structure
makemkv_mcp/
server.py # MCP server, tools, CLI entry point
makemkv.py # makemkvcon wrapper, output parser, async runner
jobs.py # Persistent job queue (aiosqlite)
notifications.py # Discord, webhook, agent notifications
drive_monitor.py # Auto-rip polling daemon
config.py # Pydantic config models, YAML loader
platform/ # Platform-specific eject/detect
linux.py
darwin.py
windows.py
tests/
test_parser.py # makemkvcon output parsing
test_jobs.py # Job queue operations
test_config.py # Config loading/saving
test_notifications.py # Notification channels
test_server.py # Integration tests (mocked makemkvcon)
API / Protocol
This server implements the Model Context Protocol (MCP), an open standard for connecting AI assistants to external tools and data sources. MCP provides a structured way for LLM agents to discover and invoke tools over a transport layer.
makemkv-mcp supports two transports:
- stdio — the server communicates over stdin/stdout. Best for local usage where the MCP client runs on the same machine (e.g., Claude Desktop).
- Streamable HTTP — the server listens on a port and clients connect via HTTP. Best for network/remote usage where the optical drive is on a different machine than the MCP client.
All tool inputs and outputs follow the MCP tool specification with Pydantic-validated schemas.
License
MIT — see LICENSE file.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。