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lit-review-agent-tools

MCP serverGitHubActivePython

🤖 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。

Description provenance: Original source

Open canonical source

Measured: Oct 20, 2026 · 54 observations

Domains & Uses

Domains
Agents, skills and MCP
Uses
Agent skills, Retrieval-augmented generation (RAG), Code assistants

Check at the source

Compatibility and prerequisites must be checked in the official documentation.

https://github.com/brycewang-stanford/lit-review-agent-tools

Classifications

Nature
Resource

Measurement history

Comparable readings are grouped by signal and unit.

Stars

36stars · Oct 20, 2026

+12 (+50 %)since Sep 22, 2026

Sep 22, 2026 : 24 starsSep 23, 2026 : 25 starsSep 24, 2026 : 25 starsSep 25, 2026 : 26 starsSep 26, 2026 : 28 starsSep 27, 2026 : 28 starsSep 28, 2026 : 28 starsSep 29, 2026 : 28 starsSep 30, 2026 : 29 starsOct 1, 2026 : 29 starsOct 2, 2026 : 29 starsOct 3, 2026 : 29 starsOct 4, 2026 : 30 starsOct 5, 2026 : 30 starsOct 6, 2026 : 32 starsOct 7, 2026 : 32 starsOct 8, 2026 : 32 starsOct 9, 2026 : 33 starsOct 10, 2026 : 34 starsOct 11, 2026 : 34 starsOct 12, 2026 : 34 starsOct 13, 2026 : 34 starsOct 14, 2026 : 34 starsOct 15, 2026 : 34 starsOct 16, 2026 : 34 starsOct 17, 2026 : 34 starsOct 18, 2026 : 35 starsOct 20, 2026 : 36 stars
Exact values · 28 readings
MeasuredstarsChange
36+1
35+1
340
340
340
340
340
340
340
34+1
33+1
320
320
32+2
300
30+1
290
290
290
29+1
280
280
280
28+2
26+1
250
25+1
24·