MCP server exposing 4 tools for ebid.
This URL is a JSON-RPC 2.0 endpoint over HTTP. Issue POST requests with a JSON-RPC body. Browsers and search crawlers land here on GET.
POST https://gateway.pipeworx.io/ebid/mcp
Content-Type: application/json
{"jsonrpc":"2.0","id":1,"method":"tools/list"}
ebid_search — Search listings on the eBid.net online marketplace and auction site (eBid Trading API SearchEbid). Filter by keyword, category, price range, item condition (NEW/USED/UNUSED/REFURBISHED), buy-now only, seller username, or country of origin, on any of eBid's 20+ country sites. Set closed=true to search ended listings instead of live ones — ended listings with bids are where realized sale prices live. Returns total match count and listings with ListingID, title, bid count, currency and buy-now price. eBid is a small marketplace; treat results as a secondary listings and price source.ebid_listing — Fetch one eBid.net listing by its numeric ListingID (eBid Trading API GetListingSingle): title, description, seller, current price, bid count, quantity, condition, start/end times, and shipping cost calculated to a destination country. Works for live and ended listings on any eBid country site. Get ListingIDs from ebid_search.ebid_listing_bids — Bid history for one eBid.net listing (eBid Trading API GetListingBids): each bid's amount, quantity, bidder username, timestamp, and whether it was a buy-now or proxy bid. On an ended auction the winning (highest) bid is the realized price. Get ListingIDs from ebid_search.ebid_categories — Browse the eBid.net marketplace category tree (eBid Trading API GetCategoryList): category IDs, names, full paths and per-category item counts for an eBid country site. Pass a parent category_id to list its subcategories, or omit it for the root categories. Use the returned CategoryID to filter ebid_search.Code samples (curl / TypeScript / one-click client install), schemas, and the live playground are on the pack page:
https://pipeworx.io/packs/ebid/
Pipeworx is an open MCP gateway connecting AI agents to live data. pipeworx.io