MCP KIPRIS

Overview

The MCP KIPRIS server is a specialized patent‑search gateway that exposes the Korean Intellectual Property Office (KIPRIS) API to AI assistants via the Model Context Protocol. By turning KIPRIS into a set of MCP tools, developers can embed advanced patent discovery directly into conversational agents, workflows, or automated analysis pipelines. The server solves the common pain point of navigating multiple, fragmented patent search interfaces—especially when dealing with both domestic Korean patents and foreign filings—by providing a unified, programmatic interface that supports robust filtering, sorting, and detailed metadata retrieval.

At its core, the server offers two distinct search ecosystems: Korean patent search and foreign patent search. Each ecosystem contains a suite of tools—applicant, keyword, application number, and rights holder searches—alongside specialized utilities for retrieving full details or concise summaries. The foreign search tools extend this functionality to international jurisdictions (US, EP, WO, JP, etc.) and support queries by applicant name, application number, keyword, international application numbers, and international publication numbers. The inclusion of sorting options (publication date, filing date, priority, etc.) and status codes (public, corrected, cancelled) allows users to fine‑tune results for relevance or compliance checks.

For developers integrating AI assistants, the MCP KIPRIS server offers a clean, JSON‑based response format that can be consumed by Claude or other LLMs without additional parsing logic. The tools are exposed over HTTP and can also be run in a streaming (SSE) mode, enabling real‑time updates to the assistant’s context as new patent data arrives. Logging at DEBUG level provides transparency into tool invocation times and error handling, which is invaluable for debugging complex search scenarios or auditing compliance.

Real‑world use cases include:

• R&D teams performing competitive intelligence, quickly retrieving recent patents by a target company.
• Patent attorneys automating prior art searches across multiple jurisdictions, feeding results straight into drafting tools.
• Product managers validating novelty before launching new features by querying both Korean and international patent databases.
• Academic researchers aggregating patent trends for meta‑analyses, leveraging the server’s filtering and sorting capabilities to shape datasets.

Unique advantages of MCP KIPRIS are its dual‑jurisdiction coverage, extensive filtering options, and the ability to retrieve both detailed dossiers and concise summaries—all within a single MCP‑compatible interface. This reduces the friction of stitching together disparate APIs and lets AI assistants act as a one‑stop shop for patent intelligence, thereby accelerating decision making and reducing manual effort across the innovation lifecycle.