#literature-review

🤖 The strongest curated list of open-source AI-agent tools for literature review — 70+ tools across 11 categories (Claude Code skills, deep research, MCP servers, PDF parsing, systematic review). 面向智能体文献综述的最强工具大全。

Official MCP server for Consensus. Search 220M+ peer-reviewed research papers from Claude, ChatGPT, Cursor, and any MCP client.

Three complementary agent skills for academic research: WRITES papers, FINDS papers on a topic, READS any paper as a visual experience (mind maps, flowcharts, plain-English). Runtime-neutral, works with 50+ agents. Install: npx skills add aniketkrs/research-paper

AI-powered multi-agent research platform for literature discovery, synthesis, and citation generation using LangGraph, RAG, and Gemini AI.

Five open agent skills for sharper literature reviews: question refinement, review modules, method comparison, contradiction mapping, and research gap discovery.

A Claude Agent Skill that turns Claude into a rigorous medical research supervisor — search strategy, evidence synthesis, scientific writing, and peer-review-grade QA. Never fabricates citations.

Your daily paper round, except it delivers journal papers. One morning email of new papers matched to your research, filed into Zotero. Runs on Claude Code, no server needed.

Turn a research idea into a literature-grounded, tutorial-like standalone HTML essay. An Agent Skill: works in Claude Code, Codex, Cursor, Gemini CLI, VS Code and ~40 other tools.

Evidence-aware research reports from topics and documents, available as a Python SDK, CLI, API, and Docker service.

8 free AI tools for social science researchers — no coding required

ScholarFlow Skills by Zhoy: reusable Agent Skills for literature review, academic writing, figures, bioinformatics, and research deliverables.

Academic research intelligence for AI agents — paper search, scientific literature, citation analysis, arXiv, author metrics, trending research & semantic related-work (pgvector). MCP + x402.

AI-assisted molecular tumor board for community cancer centers: NGS → per-patient report, per-gene PICO/PRISMA/GRADE literature appraisal, and a board-ready case deck. React + Cloudflare Pages + Anthropic.