Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
Evidence-backed web research for AI agents. Real-time search with cited claims, confidence scores, and compare mode (raw LLM vs evidence-backed). MCP server, REST API, and Python SDK.
Natural-language patent and scientific literature search across 200M+ patents and 216M+ papers from 170+ jurisdictions, with semantic/BM25 search, structured filters, and record retrieval. Hosted Streamable HTTP endpoint and Dockerized stdio bridge; requires a free Patsnap API key.
Quality signal
44/100 (Fair)
57/100 (Good)
Install path
npx · high
Remote · high
Engagement
1 0 0 20
1 0 0 188
Tools
Multi-step claim verification pipeline with atomic decompositionHybrid keyword and semantic retrieval with rerankingConfidence scores calibrated from real verification dataMulti-provider parallel search for diverse sourcesContradiction detection and multi-pass consistency checksConfigurable depth modes: fast, thorough, and deep research
