MCP server exposing 2 tools for patent-maintenance-fees.
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/patent-maintenance-fees/mcp
Content-Type: application/json
{"jsonrpc":"2.0","id":1,"method":"tools/list"}get_patent_maintenance_status — Look up a US patent's maintenance-fee history and in-force/expired status: every recorded maintenance-fee event (payments, surcharges, expiration for non-payment, reinstatement, entity-status changes) plus a computed status and a 4th/8th/12th-year fee-window breakdown (due date, grace-period end, whether paid). Give the patent number with or without commas ("10835610" or "10,835,610"). Design (D-prefixed) and plant (PP-prefixed) patents are statutorily exempt from maintenance fees and will report subject_to_maintenance_fees:false rather than a bare no-match. Sourced from USPTO's Patent Maintenance Fee Events (public domain, covers patents granted 1981-09-01 to present), refreshed from the weekly bulk file — every response carries data_as_of. Keyless. Does NOT determine full-term (20-year) expiration or any non-fee reason a patent could be invalid — this pack covers maintenance-fee lapses only; pair with the `patents` pack for prosecution history.search_maintenance_fee_events — Search USPTO maintenance-fee events across patents by event code, patent-number prefix, and/or event-date range — e.g. all 'EXP.' (expired for non-payment) events in a date window. Returns an exact total_matching count first, then a capped sample of the actual event rows (newest first) — never a bare empty array on zero matches; the filters tried are always echoed back. Sourced from USPTO's Patent Maintenance Fee Events (public domain); every response carries data_as_of. Keyless.Code samples (curl / TypeScript / one-click client install), schemas, and the live playground are on the pack page:
https://pipeworx.io/packs/patent-maintenance-fees/
Pipeworx is an open MCP gateway connecting AI agents to live data. pipeworx.io