Alpaca Trading API integration for Model Context Protocol (MCP)
Whiskyhunter is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
What it does
Whisky auction data from the public WhiskyHunter API. No key required.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user mrfentmen-whiskyhunter-mcp '--' npx -y whiskyhunter-mcp
# 2 — ask your agent for something these tools do
# auctions, auction_by_date, auction_summary and 9 more
Whiskyhunter costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. This one runs on your machine: your client starts Whiskyhunter as a process under your own user, with your files and your network, so the tool surface below is what it can do to your computer rather than to a server somewhere else. Its scan result is on the Security tab — read the surface before you approve it.
This is a public server: you run it yourself and this marketplace is not in the path. You need Node.js — the current LTS (24) is the safe choice; npx comes with it. Claude Code registers it in one command; --scope user makes it available in every project. The '--' is in quotes so that PowerShell passes it on.
claude mcp add --scope user mrfentmen-whiskyhunter-mcp '--' npx -y whiskyhunter-mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
One config entry your client uses to start the process locally. A local server runs with your file system and your network, which is why it is priced without metering.
12 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Whisky auction results: mean winning bid, trading volume and lots sold per month.
No parameter schema on file.
Every auction house's results for one month, ranked by trading volume.
No parameter schema on file.
Aggregate stats for one auction house, or the whole whisky auction market: bids, volumes and lots.
No parameter schema on file.
Rank whisky auction houses by total trading volume, lots sold, or average winning bid.
No parameter schema on file.
Mean winning bid per month over time, for one auction house or the whole market.
No parameter schema on file.
Show which calendar months historically fetch the highest mean winning bid and volume, averaged across every year in the dataset.
No parameter schema on file.
Compare two or more auction houses side by side: record counts, date range, mean and highest winning bid, total volume and their latest months.
No parameter schema on file.
Compare the most recent months of whisky auction results against the months before them: mean winning bid, trading volume and lots, with the percent change.
No parameter schema on file.
Rank auction houses over the last few recorded months by trading volume, lots sold or mean winning bid, including each house's share of the volume traded.
No parameter schema on file.
Two auction houses month by month on volume, lots or winning bid: which one won each month, the tally, and the all-time totals.
No parameter schema on file.
How much each auction house actually sells rather than what its bottles fetch: lots, trading volume, realised value per lot and share of the recorded market, with the same houses re-ranked by mean hammer for contrast. Separates a volume seller from a boutique.
No parameter schema on file.
The market as a whole rather than one house: lots and traded value per year, the market's mean hammer, how many houses reported, and how concentrated the top five are in each year. Shows a market shrinking under a house that is growing.
No parameter schema on file.
- Every tool, no call limit
- No card, and mcprush charges nothing for it
- Source published under MIT
- Runs on your machine — nothing of it reaches our gateway
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Whiskyhunter or to call it, at any volume.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | minimal | capability blast radius (minimal) — client exposure if the model is manipulated | −0 |
| verification-discount | repo | publisher verification (public source) — no provenance, but the source is public and inspectable | −1 |
| coverage-honesty | source | inspection depth (source) — how much of the target the scan could see | −0 |
What the scan could actually read
A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.
Tools were statically extracted from the published source (12 recovered), not enumerated from a running server. Tool-poisoning, Unicode-smuggling, capability and toxic-flow analysis ran on this inferred surface, but a mis-parsed registration could be missed or mis-attributed, so tool-derived findings are capped below “confirmed”. To grade the real runtime surface, scan the running server: --command "npx -y <package>".
Capability — what it could do if the model were manipulated
Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. minimal is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| auctions | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| auction_by_date | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| auction_summary | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| top_auctions | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| market_trend | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| seasonality | untrusted-input | untrusted-input: keyword "fetch", declares openWorldHint: true (interacts with entities outside the server) |
| auction_compare | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| market_momentum | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| auction_leaderboard | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| slug_head_to_head | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| liquidity_profile | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| market_structure | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
Toxic-flow graph
The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.
The public result for this release does not print the flow graph, so there is nothing to show here. That is not the same as "no paths were found": what the scan did read is above, under coverage.
Supply chain and provenance
This is the first scan of this surface here, so there is nothing yet to compare it against.
Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.
Release history
Always latest — the install command names no version, so it installs the newest release when it runs; the current release on file is 1.0.3. Pin a release below and the command asks for exactly that one.
No release note was published with this version.
No release note was published with this version.
No release note was published with this version.
- The version this listing was on when mcprush began following its releases. The registry was not asked when it shipped, so this row carries no date.
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Any signed-in account that does not publish Whiskyhunter can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.