The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Poshmark Comps listing page.
Sold-price and active-listing search on the public Poshmark marketplace — the best open sold-price comp data on Poshmark, with no login and no API key.
Part of Pipeworx — an MCP gateway connecting AI agents to 1683+ live data sources.
poshmark_sold_search(query, department?, sort_by?, limit?) — search SOLD
listings, returns price, size, brand, condition, sold date, seller, and a
listing URL per hit.poshmark_active_search(query, department?, sort_by?, limit?) — same shape
for currently-listed (not yet sold) items, for comparing ask vs. sold.Keyless. No login, no API key, no anti-bot challenge encountered (verified live 2026-09-05).
window.__INITIAL_STATE__ script-tag blob
(checked live: an XHR/Accept: application/json request returns the same
full HTML page, not JSON). This pack fetches that HTML and extracts the
embedded JSON directly — cheaper and more robust than DOM parsing.Traps for the next person:
next_max_id in the response is a real pagination cursor but this pack
doesn't walk it yet — total_matches_reported_by_poshmark in the tool
output tells the caller how much more exists.price on a sold item is the listing price Poshmark shows on the sold
post (what the seller was asking), not a separately verified receipt/hammer
amount, and excludes Poshmark's fee and shipping. State this to callers —
it's in coverage_note on every response.sort_by only reliably takes best_match (default), price_desc,
price_asc — newest and most_loved returned empty result sets when
probed live 2026-09-05; not exposed as options for that reason.brand/size query params on the site did not reliably filter when probed
(results included non-matching brands); free-text query does the real
filtering, so brand/size aren't exposed as separate parameters — put them in
query instead (e.g. "lululemon align size 6").Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
tools/list at https://gateway.pipeworx.io/poshmark-comps/mcp returns the tools in the table
above plus the shared Pipeworx meta-tools — ask_pipeworx,
discover_tools, search_within, remember/recall and the rest of the
gateway-wide set. So the tool count you see is larger than this table: a
single-pack endpoint currently lists roughly 30 shared tools alongside the
pack's own. The connection's initialize response states its exact scope, and
is the authoritative answer for a given day.
This is deliberate, not multiplexing by accident. The meta-tools are what let a
scoped connection answer a question this pack does not cover — via
ask_pipeworx, which routes across the whole catalog — without you adding a
second MCP server. There is currently no way to mount a pack endpoint without
them; if the extra schemas cost you more context than the routing is worth,
connect to the full gateway once rather than to several pack endpoints.
Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:
Both URLs reach the same gateway and the same 1683+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/poshmark_sold_search. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.
This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:
Or run it directly to confirm it starts:
It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call
for only this pack's tools — none of the shared meta-tools the gateway
connection above adds. Same source, same tools, no ask_pipeworx routing.
Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:
The gateway picks the right tool and fills the arguments automatically.
MIT