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Paper-Studio MCP Server

keyingshuzhi/Paper-Studio

Score: 50.3 Rank #5363 MCP Server
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Paper Studio 是本地优先的 AI 学术研究 Agent,支持 Ollama 与 DeepSeek 双模型模式,集成多源文献检索、PDF 下载与管理、结构化论文总结、跨文献与引用分析、深度研究报告、研究记忆、成本预算控制、定时任务,以及 MCP Server/Client 连接能力。

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Overview

keyingshuzhi/Paper-Studio is a Python MCP server licensed under MIT. Paper Studio 是本地优先的 AI 学术研究 Agent,支持 Ollama 与 DeepSeek 双模型模式,集成多源文献检索、PDF 下载与管理、结构化论文总结、跨文献与引用分析、深度研究报告、研究记忆、成本预算控制、定时任务,以及 MCP Server/Client 连接能力。

Ranked #5363 out of 24850 indexed tools.

Ecosystem

Python MIT

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 2

2 stars → early stage

Freshness 25% 17d ago

Last commit 17d ago → recently updated

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 0

0 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 0
Description Good
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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AgentRank score for keyingshuzhi/Paper-Studio
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Matched Queries

"mcp server""mcp-server"

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