poshmark-comps
This server has a remotely hosted endpoint. Open its connector listing for connection details, authentication requirements, and setup instructions:
@pipeworx/poshmark-comps
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 1866+ live data sources. This is an independent, unofficial integration — not affiliated with, endorsed by, or published by the upstream provider.
Tools
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.
Related MCP server: Secondhand MCP
Auth
Keyless. No login, no API key, no anti-bot challenge encountered (verified live 2026-09-05).
Data sources
https://poshmark.com/search — Poshmark's own public search page. There is no separate JSON API endpoint: the page is server-rendered by a Vue app and embeds the full result set in a
window.__INITIAL_STATE__script-tag blob (checked live: an XHR/Accept: application/jsonrequest 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:
One page per call, up to ~48 results (Poshmark's own default page size).
next_max_idin the response is a real pagination cursor but this pack doesn't walk it yet —total_matches_reported_by_poshmarkin the tool output tells the caller how much more exists.priceon 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 incoverage_noteon every response.sort_byonly reliably takesbest_match(default),price_desc,price_asc—newestandmost_lovedreturned empty result sets when probed live 2026-09-05; not exposed as options for that reason.brand/sizequery params on the site did not reliably filter when probed (results included non-matching brands); free-textquerydoes the real filtering, so brand/size aren't exposed as separate parameters — put them inqueryinstead (e.g."lululemon align size 6").Crawl politely: one page fetch per tool call, no pagination loop, no concurrent fan-out.
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"poshmark-comps": {
"url": "https://gateway.pipeworx.io/poshmark-comps/mcp"
}
}
}What this endpoint actually serves
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:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}Both URLs reach the same gateway and the same 1866+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
No MCP client? Call it over HTTP
curl -X POST https://gateway.pipeworx.io/v1/tools/poshmark_sold_search \
-H 'Content-Type: application/json' \
-d '{"query":"lululemon align","sort_by":"relevance","limit":10}'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":"..."}.
Run it from npm
@pipeworx/mcp-poshmark-comps is a local stdio bridge to the Pipeworx gateway: your MCP client
starts it with npx, and it forwards every call to the same
https://gateway.pipeworx.io/poshmark-comps/mcp endpoint shown above. It needs network access;
there is no offline mode.
{
"mcpServers": {
"poshmark-comps": {
"command": "npx",
"args": ["-y", "@pipeworx/mcp-poshmark-comps"]
}
}
}Without a key it calls anonymously, capped at 50 calls a day. A free account
raises that to 200 a day: get a key at https://pipeworx.io/signup and add
"env": { "PIPEWORX_API_KEY": "<your key>" } to the server entry.
The key is sent as a Bearer token, the same way a hosted connection sends it,
so calls are metered and billed exactly as they are there.
It lists only this pack's tools by default. Set PIPEWORX_META_TOOLS=1 to
also list ask_pipeworx and the other gateway-wide tools.
Behind an HTTPS proxy: Node's built-in fetch does not read HTTPS_PROXY by
default. Newer Node releases honour it when NODE_USE_ENV_PROXY=1 is set; check
your Node version's documentation.
Using with ask_pipeworx
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:
ask_pipeworx({ question: "your question about Poshmark Comps data" })The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
Related MCP Connectors
eBay, Poshmark US and Mercari US listings, sold-price summaries, comparisons and research exports.
Real eBay sold comps for any product keyword — median, range, up to 240 rows per call.
Sold comps and active listings from eBay, Poshmark, Mercari, Depop, Vinted, TCGplayer and more.
GDPR-clean secondhand listings and sold comps for resale pricing research. No seller personal data.
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