A server for managing qualitative research knowledge graphs, providing structured representation and management tools for research projects, participants, interviews, coding, and themes

MCP Mermaid is a tool that dynamically generates Mermaid charts and graphics through AI, supporting multiple export formats and theme configurations, suitable for various development environments and platforms.

Microsoft MCP Server for Enterprise is a publicly previewed server based on the Model Context Protocol that allows AI agents to access Microsoft Entra data through natural language queries and convert them into Microsoft Graph API calls, aiming to help developers and IT administrators integrate organizational data management into AI workflows.

DeepZotero is a tool that provides semantic search functionality for the Zotero literature library. It extracts text, tables, and images from PDFs, chunks, embeds, and stores them in ChromaDB. Finally, it provides 13 types of semantic search, Boolean search, table/image search, context expansion, citation graph query, index management, and cost - tracking tools to clients such as Claude Code through the MCP server.

The InfraNodus MCP Server is a protocol server that integrates knowledge graph and text network analysis capabilities. It can convert text into a structured knowledge graph, identify thematic clusters, content gaps, and conceptual relationships, and provide enhanced analysis capabilities for AI workflows.

GNNEPCSAFT MCP Server is an implementation based on the Model Context Protocol (MCP) for thermodynamic calculations of the GNNePCSAFT tool. It predicts ePC - SAFT parameters through Graph Neural Networks (GNNs), supports the calculation of thermodynamic properties such as density and vapor pressure for pure substances and mixtures, and can automatically obtain molecular data from PubChem.