io.github.kuhumcst/dannet
DanNet - Danish WordNet with rich lexical relationships and SPARQL access.
578 servers
DanNet - Danish WordNet with rich lexical relationships and SPARQL access.
Generate academic diagrams and statistical plots from text using multi-agent AI.
🔍 Enable AI assistants to search and access bioRxiv papers through a simple MCP interface.
A Model Context Protocol (MCP) server that retrieves information from Wikipedia to provide context to LLMs.
Search arXiv papers, download full text, semantic search, citation graphs, and alerts via MCP.
MCP Server for the Courses, enabling search functionality, and more.
An MCP server that exposes the SIRIO library for creation and analysis of Petri Nets
Search translated historical texts on alchemy, Hermeticism, and Renaissance philosophy.
An MCP server that consolidates academic research across PubMed, Google Scholar, ArXiv, and JSTOR. Published on NPM with 5 tools.
A collection of Model Context Protocol (MCP) servers developed by Arvore for seamless integration with AI assistants like Claude.
The XTB MCP Server is a Model Context Protocol (MCP) server that provides comprehensive tools for generating Extended Tight-Binding (XTB) quantum chemistry calculation input files. This server integrates seamlessly with AI assistants like Claude, Cursor, and Windsurf to enable intelligent quantum chemistry workflow automation.
An MCP (Model Context Protocol) server intended for use inside Epic Workshop repositories.
40+ content research tools. Perplexity, Tavily, Semantic Scholar, FLUX, Ideogram, Recraft.
Resolve, format, and export academic citations from any AI assistant
MCP server for academic papers, citations, authors, ECOS dossiers, and Federal Register text.
Wikipedia link explorer MCP App Server with graph visualization
A MCP for searching and downloading academic papers from multiple sources like arXiv, PubMed, bioRxiv, etc.
MCP server for fetch deepwiki.com and turn content into LLM readable markdown
Search scientific papers with structured experimental data from full-text studies
Generate academic citations from DOI, arXiv, titles, or URLs in BibTeX, APA, MLA formats.