Scenario pain point analysis
Researchers need to handle repetitive tasks such as academic database searching, PDF parsing, and reference formatting simultaneously, which is time-consuming and error-prone.
Efficiency Improvement Program
- Building an Academic Toolkit::
smithery install --server=google-scholar
smithery install --server=zotero - Configuring Intelligent Agents: Example command flow:
1. 在Claude输入"查找近三年量子计算综述论文" 2. AI自动调用Google Scholar MCP执行搜索 3. 通过Zotero MCP保存PDF到指定分类 4. 生成带DOI的BibTeX引用
- Batch optimization: Batch processing of literature using the Python SDK:
for query in ["LLM应用","多模态学习"]: results = await scholar.search(query,year=2023) zotero.import(results)
advanced skill
Combined with Obsidian MCP to build a knowledge graph using the ![[论文标题]] Grammar automatically links to related notes.
This answer comes from the articleSmithery: an MCP server registration platform that connects AI with toolsThe
May not be reproduced without permission:AI productivity tools " How can Smithery be applied to accelerate documentation in academic research scenarios?
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