MarketNow Registry / Search / yangg40/scholar-feed

yangg40/scholar-feed

Search 600,000+ CS/AI/ML research papers with LLM-generated novelty analysis, without leaving Claude Code, Cursor, or any MCP client. Built for researchers running a literature review where they alrea

MarketNow trust score 76/100 Search v0.0.0 by yangg40
Trust score
76/100
Install risk
Runs registry code
Source
smithery
Indexed
2026-09-10

Install

$ npx -y @smithery/cli@latest install yangg40/scholar-feed

Installing via npx/uvx/npm install executes arbitrary code from the public registry on your machine. This is the install-risk semantic of the MarketNow catalog — verify the publisher before running it.

How MarketNow scored this

Sentinel Index Heuristics — a security-first estimate from public signals:

Heuristic, not a guarantee. For verified agent credentials and revocation, see the MarketNow Trust API.

What is yangg40/scholar-feed?

Search 600,000+ CS/AI/ML research papers with LLM-generated novelty analysis, without leaving Claude Code, Cursor, or any MCP client. Built for researchers running a literature review where they alrea Indexed by MarketNow with trust 76/100 (Runs registry code).

How do I install it?

Run $ npx -y @smithery/cli@latest install yangg40/scholar-feed Installing via npx/uvx/npm install executes arbitrary code from the public registry on your machine. This is the install-risk semantic of the MarketNow catalog — verify the publisher before running it.

What does the trust score mean?

Security-first heuristic over public signals (age, adoption, typosquat distance, injection markers). It is not a popularity ranking and not a guarantee of safety. yangg40/scholar-feed scores 76/100.