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Cocktails MCP

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mcp-cocktails

Cocktails MCP — TheCocktailDB API (free, no auth)

Part of Pipeworx — an MCP gateway connecting AI agents to 1476+ live data sources.

Tools

Tool

Description

search_cocktails

Search TheCocktailDB for cocktail recipes by name. Returns name, category, alcoholic/non-alcoholic classification, glassware, thumbnail, and ingredient list with measurements (no preparation instructions — use get_cocktail for those).

get_cocktail

Get full cocktail recipe by ID. Returns ingredients with exact measurements, preparation steps, glassware type, and garnish.

random_cocktail

Get a random cocktail recipe. Returns ingredients with measurements, instructions, glassware, and garnish details.

cocktails_by_ingredient

List all TheCocktailDB cocktails that contain a specific ingredient (e.g., 'vodka', 'lime juice'). Returns cocktail id, name, and thumbnail only — use get_cocktail to retrieve full recipes.

Related MCP server: Bar Assistant MCP Server

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "cocktails": {
      "url": "https://gateway.pipeworx.io/cocktails/mcp"
    }
  }
}

What this endpoint actually serves

tools/list at https://gateway.pipeworx.io/cocktails/mcp returns the tools in the table above plus the shared Pipeworx meta-tools — ask_pipeworx, discover_tools, search_within, remember/recall and the rest of the gateway-wide set. So the tool count you see is larger than this table: a single-pack endpoint currently lists roughly 30 shared tools alongside the pack's own. The connection's initialize response states its exact scope, and is the authoritative answer for a given day.

This is deliberate, not multiplexing by accident. The meta-tools are what let a scoped connection answer a question this pack does not cover — via ask_pipeworx, which routes across the whole catalog — without you adding a second MCP server. There is currently no way to mount a pack endpoint without them; if the extra schemas cost you more context than the routing is worth, connect to the full gateway once rather than to several pack endpoints.

Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://gateway.pipeworx.io/mcp"
    }
  }
}

Both URLs reach the same gateway and the same 1476+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:

ask_pipeworx({ question: "your question about Cocktails data" })

The gateway picks the right tool and fills the arguments automatically.

More

License

MIT

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources

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