What is Paper Search MCP?
Paper Search MCP is a Model Context Protocol (MCP) server designed for searching and downloading academic papers from multiple sources, including arXiv, PubMed, bioRxiv, and Sci-Hub. It is built to integrate seamlessly with large language models like Claude Desktop, making it a valuable tool for researchers and academics.
How to use Paper Search MCP?
To use Paper Search MCP, install the package via uv or pip, configure it with Claude Desktop, and utilize its search and download functionalities to access academic papers.
Key features of Paper Search MCP?
- Multi-source support for searching and downloading papers from various platforms.
- Standardized output format for easy integration.
- Asynchronous handling of network requests for efficiency.
- Extensible design allowing the addition of new academic platforms.
Use cases of Paper Search MCP?
- Researchers can quickly find and download relevant academic papers.
- AI-driven workflows can leverage the tool for enhanced context in language models.
- Developers can extend the functionality to include more academic sources.
FAQ from Paper Search MCP?
-
Can I use Paper Search MCP for all academic papers?
Yes, it supports multiple sources, but availability may vary by platform. -
Is there a cost to use Paper Search MCP?
No, it is open-source and free to use. -
How do I contribute to the project?
You can fork the repository on GitHub, make changes, and submit a pull request.
What is Paper Search MCP?
Paper Search MCP is a Model Context Protocol (MCP) server designed for searching and downloading academic papers from multiple sources, including arXiv, PubMed, bioRxiv, and Sci-Hub. It is built to integrate seamlessly with large language models like Claude Desktop, making it a valuable tool for researchers and academics.
How to use Paper Search MCP?
To use Paper Search MCP, install the package via uv or pip, configure it with Claude Desktop, and utilize its search and download functionalities to access academic papers.
Key features of Paper Search MCP?
- Multi-source support for searching and downloading papers from various platforms.
- Standardized output format for easy integration.
- Asynchronous handling of network requests for efficiency.
- Extensible design allowing the addition of new academic platforms.
Use cases of Paper Search MCP?
- Researchers can quickly find and download relevant academic papers.
- AI-driven workflows can leverage the tool for enhanced context in language models.
- Developers can extend the functionality to include more academic sources.
FAQ from Paper Search MCP?
-
Can I use Paper Search MCP for all academic papers?
Yes, it supports multiple sources, but availability may vary by platform. -
Is there a cost to use Paper Search MCP?
No, it is open-source and free to use. -
How do I contribute to the project?
You can fork the repository on GitHub, make changes, and submit a pull request.