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Mostexpensivewatches MCP Server

Developer ToolsLow Risk10.0MCP RegistryRemote
Free

Server data from the Official MCP Registry

Documented luxury-watch auction records: 1,150+ verified results, prices, rankings and datasets

About

Documented luxury-watch auction records: 1,150+ verified results, prices, rankings and datasets

Remote endpoints: streamable-http: https://mostexpensivewatches.net/mcp

Security Report

10.0
Low Risk10.0Low Risk

Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.

10 tools verified · Open access · No issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Found in Source Code

Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "net-mostexpensivewatches-mcp": {
      "url": "https://mostexpensivewatches.net/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

MostExpensiveWatches — watch auction records API, dataset, MCP server & CLI

Luxury-watch auction records with source links, current dealer asking prices, reference lookups and market context for AI agents, CLIs and apps. No API key required.

Live site: https://mostexpensivewatches.net

For AI agents — MCP server (one line of config)

{"mcpServers": {"mostexpensivewatches": {"url": "https://mostexpensivewatches.net/mcp"}}}

Streamable HTTP, JSON-RPC 2.0. Tools: search_inventory, lookup_reference, search_auction_comps, list_upcoming_auctions, get_market_estimate, get_brand_info, search_answers, get_todays_hammer_game, guess_hammer_price, get_site_stats.

The tools retrieve market data or play HAMMER; they do not place orders. guess_hammer_price evaluates a game guess, with the attempt number supplied by the client. Dealer prices are asking prices, not auction results or appraisals. Auction results retain source and review notes; cite those notes rather than assuming every result has been checked. Tool names above were checked against the live tools/list response on 2026-11-05. Install docs: https://mostexpensivewatches.net/mcp/install

Datasets (CC-BY 4.0, schema.org Dataset, refreshed automatically)

DatasetLive JSONSnapshot here
Record Ledger — every documented watch auction record (all-time, per brand/material/year, record progressions)/data/records.jsondata/records.json
Auction Records — 1,150+ documented hammer prices with sources/api/auctions-dataset.jsondata/auction-records.json
Grail Index — the $1M+ segment record (182 results, $616M documented)/data/grail-index.jsondata/grail-index.json
Price Index — daily repeat-listing index across merchants/data/watch-price-index.jsondata/price-index.json

Snapshots in this repo are point-in-time copies; the live endpoints recompile daily from the underlying catalog. Refresh timing and source coverage can vary. Cite as "MostExpensiveWatches Record Ledger".

API (public endpoints, no key)

curl -s "https://mostexpensivewatches.net/api/listings/search?q=nautilus&limit=3"
curl -s "https://mostexpensivewatches.net/api/auctions?brand=Rolex&limit=5"
curl -s "https://mostexpensivewatches.net/api/answers/patek-5711-market-price.json"

CLI (dependency-free Python)

curl -sO https://mostexpensivewatches.net/cli/mew.py
python3 mew.py search "daytona" --limit 5

Also in this repo: mew.py

Human surfaces the data powers

License

Record Ledger data: CC BY 4.0 (attribution: MostExpensiveWatches). Dealer listings, product images and other third-party material retain their owners’ rights; public API access does not grant blanket redistribution rights. See https://mostexpensivewatches.net/data-licensing for dataset-specific terms. Code (mew.py): MIT.

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