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Why this server?
Enables access to PubMed articles through the Entrez API.
Why this server?
Enables vector similarity search and serving of Svelte documentation via the MCP protocol, with support for local caching and multiple llms.txt documentation formats.
Why this server?
Allows AI agents to check software end-of-life dates and support status using the endoflife.date API, providing accurate information on software lifecycle, security status, and upgrade recommendations in real-time.
Why this server?
A Model Context Protocol (MCP) server that enables semantic search and retrieval of documentation using a vector database (Qdrant). This server allows you to add documentation from URLs or local files and then search through them using natural language queries.
Why this server?
A Model Context Protocol (MCP) server that enables semantic search and retrieval of documentation using a vector database (Qdrant). This server allows you to add documentation from URLs or local files and then search through them using natural language queries.
Why this server?
Provides a privacy-focused meta search capability by integrating multiple search engines without tracking or user profiling, supporting various categories and languages for filtered searches.
Why this server?
Enables users to search for academic articles on platforms like arXiv using specific keywords, with plans to integrate more scholarly databases in the future.
Why this server?
MCP for working with GraphQL servers.
Why this server?
Provides web search capabilities using Google Custom Search API, enabling users to perform searches through a Model Context Protocol server.
Why this server?
This server provides a tool to download entire websites using wget. It preserves the website structure and converts links to work locally.