MCP server
Macfax Official
com.macfax/macfax
Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools
Identify any Apple serial and read its device record, plus used-Mac prices, listings and checks.
Working at last checkVerified publisher: macfax.comAbout 2,337 tokens per request once connected8 tools
https://macfax.com/mcp
At a glance
- Type
- MCP server
- Publisher
- macfax.com (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 8
- Token cost
- About 2,337 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 25 Oct 2026, 20:29 UTC
Connect it to your agent
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 macfax https://macfax.com/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.macfax] url = "https://macfax.com/mcp"
Gemini CLI
{"mcpServers":{"macfax":{"httpUrl":"https://macfax.com/mcp"}}}
Cursor
{"mcpServers":{"macfax":{"url":"https://macfax.com/mcp"}}}
VS Code
{"servers":{"macfax":{"type":"http","url":"https://macfax.com/mcp"}}}
Antigravity
agy mcp add macfax https://macfax.com/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":"macfax","server_url":"https://macfax.com/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"macfax","server_url":"https://macfax.com/mcp"}
Tools
check_mac_listing~226 tokens
The trust picture for one specific listing, by URL (eBay/Craigslist/OfferUp/Swappa/Facebook/Reddit) or Macfax listing id: whether Macfax knows it, whether it still passes every quality gate, scam/junk/classified/auction flags, when a scan last verified it live, its ask against the configuration's tycreate_mac_alert~337 tokens
Watch the market for a configuration: Macfax emails the given address when new matching listings appear. CONSENT CONTRACT: create an alert only for a user who explicitly asked for this alert on this email address. The first alert for a new email stays inactive until the email's owner clicks the confget_mac_market_value~264 tokens
What a used Mac is worth, from the name Apple gives the model, e.g. "MacBook Pro (14-inch, 2021)" or "MacBook Air (13-inch, M4, 2025)". Returns every Apple Silicon configuration the name can mean, each with its sale estimate (verified sales, or the asking band scaled by a measured clearance ratio; bget_mac_price_stats~282 tokens
What a used Mac configuration actually sells for AND what sellers are asking right now. The sold slice is the headline: verified-sale percentiles when the config has enough recent sales (sold.basis 'direct'; n and window ride along), else the asking band scaled by a measured clearance ratio (sold.baget_mac_report~180 tokens
A verified Macfax condition report as structured data: hardware-verified identity, Activation Lock / MDM / serial-match checks, coverage status, and the signing chain. Use when a listing or seller shares a macfax.com/r/ link and the buyer wants the facts behind it. status "superseded" means the sameget_macfax_credit_balance~171 tokens
How many credits this API key has left, and what costs one. One credit answers one distinct serial, any Apple device and any year, and the same serial again within 24 hours is free. Answers that come back retry or unsupported, and every other tool, are free. Without credits, a free key gets 25 brandlookup_mac_serial~477 tokens
Resolve a Mac, iPad or iPhone serial number to its exact model, including 2021+ randomized serials whose characters encode nothing (so no character-decoder can read them). status says what came back: resolved, unknown_serial (no such serial; check it), unsupported (a real device whose model cannot bsearch_mac_listings~400 tokens
Live used-Mac listings aggregated across eBay, Craigslist, OfferUp, Swappa, Facebook and Reddit, with scam clusters, junk titles, classified-ad bait, auctions and stale/sold rows already filtered out. Every result deep-links to the source listing where the purchase happens. Filter by configuration,
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