MCP server

Espresso Steals Official

com.espressosteals/catalog

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Espresso gear price history: live Amazon prices, 2+ years of daily data, BUY calls at verified lows.

Working at last checkVerified publisher: espressosteals.comAbout 1,004 tokens per request once connected4 tools

https://espressosteals.com/api/mcp

At a glance

Type: MCP server
Publisher: espressosteals.com (verified by the MCP Registry)
Status: Working at last check
Tools: 4
Token cost: About 1,004 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http catalog https://espressosteals.com/api/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.catalog]
url = "https://espressosteals.com/api/mcp"

Gemini CLI

{"mcpServers":{"catalog":{"httpUrl":"https://espressosteals.com/api/mcp"}}}

Cursor

{"mcpServers":{"catalog":{"url":"https://espressosteals.com/api/mcp"}}}

VS Code

{"servers":{"catalog":{"type":"http","url":"https://espressosteals.com/api/mcp"}}}

Antigravity

agy mcp add catalog https://espressosteals.com/api/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"catalog","server_url":"https://espressosteals.com/api/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"catalog","server_url":"https://espressosteals.com/api/mcp"}

get_product ~172 tokens
Full detail for one product by slug: community sentiment, reference price and basis, date of the latest price observation, portafilter size (machines) or accessory size (sized accessories), superautomatic / manual-lever / hand-grinder flags, product URL and Amazon link. A known product with no price
list_slots ~65 tokens
The slots an espresso setup is built from (machine, grinder, scale, tamper…), with what each is for. Use the ids as search_catalog's `slot`.
search_catalog ~492 tokens
Search the espresso gear this site tracks. `products` have a live Amazon price and, when at a genuine low, a BUY call computed from their own price history; otherwise no call. Filter by slot (the role a product plays in a setup), free-text words (brand and model names, partial words and small typos
watch_price ~275 tokens
Email the user when a product is at a good price (a verified low), or at or under a target price they name. Use after search_catalog/get_product when the user wants to be told when to buy. Ask the user for their email; never invent or reuse one. One watch per email per product; calling again updates

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