Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@mostexpensivewatches What's the current market estimate for a Patek Philippe Nautilus 5711?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Documented ultra-luxury watch auction data ($100k–$31M realized prices, primary-sourced), free to use, built for AI agents, CLIs and apps. No API key required.
Live site: https://mostexpensivewatches.net
{"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_site_stats.
Install docs: https://mostexpensivewatches.net/mcp/install
Related MCP server: AI Makerspace MCP Server
Dataset, refreshed automatically)Dataset | Live JSON | Snapshot here |
Record Ledger — every documented watch auction record (all-time, per brand/material/year, record progressions) | ||
Auction Records — 1,150+ documented hammer prices with sources | ||
Grail Index — the $1M+ segment record (182 results, $616M documented) | ||
Price Index — daily repeat-listing index across merchants |
Snapshots in this repo are point-in-time copies; the live endpoints recompile daily via an autonomous verification pipeline. Cite as "MostExpensiveWatches Record Ledger".
OpenAPI 3.1: openapi.json · live: https://mostexpensivewatches.net/openapi.json
One-call snapshot: https://mostexpensivewatches.net/api/snapshot.json
Examples: https://mostexpensivewatches.net/api/examples.json
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"curl -sO https://mostexpensivewatches.net/cli/mew.py
python3 mew.py search "daytona" --limit 5Also in this repo: mew.py
The Record Ledger — every auction record, documented
How much is it worth? — 650 reference valuations
HAMMER — daily guess-the-hammer-price game
Data: CC-BY 4.0 (attribution: MostExpensiveWatches). Code (mew.py): MIT.
This server cannot be deployed
MCP server index: newest agent tools listed. $0.01/query. Register in-session — free testnet funds.
Pay-per-use tool marketplace for AI agents. Search, price-check, and call APIs via MCP.
Unlock the power of real-time cryptocurrency data with our Crypto Price Insights MCP server.
The Octagon MCP server provides specialized AI-powered financial research and analysis by integrating with the Octagon Market Intelligence API. It enables users to analyze public market data (SEC filings, earnings transcripts, financial metrics, and stock data for 8000+ companies), private market data (3M+ companies, 500k+ funding rounds, 2M+ M&A/IPO transactions), and conduct deep research including web scraping capabilities. The server also features autonomous research agents that search hundreds of sources and return fully cited reports in approximately one minute.
