PatSnap Patent & Literature Search is an MCP server that enables deep, integrated semantic and keyword searches across global patent and academic literature databases. It supports natural language queries, precise filtering by assignee, classification, date, jurisdiction and more. The tool can fetch bibliographic data, claims, descriptions, and drawings in Markdown format, serving researchers, patent professionals, and developers building AI-powered IP or scientific research applications.
PatSnap Patent & Literature Search sits in PulseGate's AI & ML category. Efficiently discovering and retrieving accurate patent and scientific literature information using natural language and advanced filtering. PatSnap Patent & Literature Search is a B2B product aimed at researchers and IP professionals. It runs on API.
Behind PatSnap Patent & Literature Search is PatSnap, and it first shipped in 2026. The project is developed in the open on GitHub with 135 stars and 19 commits in the last 90 days. Key capabilities include Semantic Search, Keyword Filtering, and Patent Retrieval. The interface is available in English and Chinese. It exposes integrations via an MCP server and a public API. PatSnap Patent & Literature Search is currently in beta.
Summary written by a language model from the project’s public pages.
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