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Cellartracker Wine Cellar MCP Server

@slavins-co

基本信息

分类

AI 与智能体

传输方式

stdio

作者

slavins-co

提交者

slavins-co

关于 Cellartracker Wine Cellar MCP Server

Connect your AI assistant to your CellarTracker wine cellar. Query your inventory, get drinking recommendations, and analyze purchases and drinking history, all through natural conversation. No need to refresh your inventory, or share your tasting notes. The MCP enables AI tools

#wine#cellartracker#claude#claude-code

Cellartracker Wine Cellar MCP Server 配置

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该服务器的 README 中没有可解析的 MCP 配置块,请前往代码仓库查看安装说明。

代码仓库

Cellartracker Wine Cellar MCP Server 工具

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工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Cellartracker Wine Cellar MCP?

Cellartracker Wine Cellar MCP connects Claude to your CellarTracker wine cellar, allowing you to query inventory, get drinking recommendations, and analyze purchases and drinking history through natural conversation. It is designed for CellarTracker users who want to interact with their wine data directly from Claude without manually refreshing exports or sharing tasting notes.

How to use Cellartracker Wine Cellar MCP?

Two install methods exist: a Desktop Extension (.mcpb) for Chat and Cowork modes, and a Claude Code Plugin for Cowork and Code modes. The Desktop Extension is installed by downloading the .mcpb file from the latest release and double-clicking it; credentials are prompted on install. The Claude Code Plugin is installed via the desktop app plugin browser or terminal commands, requiring a subsequent setup-credentials command. Both methods authenticate with your CellarTracker username and password.

Key features of Cellartracker Wine Cellar MCP

  • Search your cellar by wine name, color, region, varietal, location, or vintage
  • Get drinking recommendations sorted by drinking window urgency
  • View collection overview with totals and breakdowns by any dimension
  • Analyze purchase history by store, date range, or specific wine
  • Access your wishlist, consumption history, and personal tasting notes
  • Force a fresh data pull (automatically refreshes every 24 hours)

Use cases of Cellartracker Wine Cellar MCP

  • Ask "What wines should I open this month?" and receive prioritized recommendations
  • Search your cellar for a specific wine or style before making a purchase decision
  • Review purchase history to analyze spending by store or date range
  • Look up tasting notes and ratings for wines you have already consumed
  • Use the wine purchase evaluator skill to assess potential new purchases against your existing inventory

常见问题

1

How does authentication work if CellarTracker has no official API?

This server uses CellarTracker's CSV export endpoint, which authenticates with your username and password over HTTPS. CellarTracker does not offer OAuth, API keys, or scoped tokens, so this MCP performs read-only operations but authenticates with your full account credentials.

2

Where are my credentials stored?

The Desktop Extension stores credentials in your OS keychain (macOS Keychain or Windows Credential Manager). The Claude Code plugin stores them as plaintext in `~/.config/cellartracker-mcp/.env`. You can also set `CT_USERNAME` and `CT_PASSWORD` as environment variables to avoid storing credentials on disk.

3

Can this MCP search all of CellarTracker's wine database?

No. The server can only access your personal data — inventory, purchases, notes, and wishlist. It cannot search CellarTracker's full wine database.

4

What data does the server cache and for how long?

Data is cached locally and auto-refreshes every 24 hours. You can also use the `refresh-data` tool to force a fresh pull at any time.

5

What transport and authentication methods are supported?

The server uses the standard MCP transport via the Claude Desktop and Claude Code interfaces. Authentication is handled by the server itself, not by MCP's auth layer — credentials are passed from the user to the server and then to CellarTracker over HTTPS. The Desktop Extension stores credentials in the OS keychain, while the Claude Code plugin uses a `.env` file or environment variables.

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