mpc-sintific-search-by-ai-for-ai
If you are the rightful owner of mpc-sintific-search-by-ai-for-ai and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
This is a Model Control Protocol (MCP) implementation for Cursor that provides scientific search capabilities through various academic search engines.
The Scientific Search MCP for Cursor is a robust implementation designed to facilitate scientific searches across multiple academic search engines. It integrates seamlessly with Cursor using the MCP protocol, allowing users to perform comprehensive searches across platforms like DuckDuckGo, Google Scholar, PubMed, arXiv, and Semantic Scholar. The tool is particularly useful for researchers and academics who need to access a wide range of scientific literature efficiently. The integration with Tor for Semantic Scholar ensures that users can bypass rate limits and IP blocks, providing a more reliable search experience. The server can be easily set up and run, with specific instructions for installing dependencies and configuring Tor for enhanced privacy and access.
Features
- Integration with Cursor using the MCP protocol
- Scientific search across multiple engines: DuckDuckGo, Google Scholar, PubMed, arXiv, Semantic Scholar
- Tor integration for Semantic Scholar to bypass rate limits
- Ability to extract content from web pages and PDFs
- Search for specific text patterns in web content
