This MCP Server Boosts Claude Research with Knowledge Graphs

In this video, I will demonstrate how you can use the new MCP server from https://infranodus.com to enhance your Claude research workflows. This MCP server can represent any textual information you're working with as a knowledge graph, extracting the main topics and content gaps from it and helping Claude get higher quality research questions and ideas. It can be implemented into any other tool that supports MCP protocols: from n8n AI automation to your favorite AI tool, such as Cursor for instance. To get this server for your local Claude desktop: https://github.com/infranodus/mcp-server-infranodus Or get it from Smithery (for Claude web or n8n): https://smithery.ai/server/@infranodus/mcp-server-infranodus Timecodes: 0:00 Introducing the InfraNodus MCP knowledge graph server 1:52 What are MCP servers? 2:33 Use case 1: finding research gaps in PDF papers 6:25 Use case 2: explore your existing InfraNodus graphs 9:52 How to set up the InfraNodus MCP server 12:33 Setting up the InfraNodus API key 13:27 Searching your existing graphs in InfraNodus with MCP 15:25 Retrieving research question from a specific context 16:58 Posting research question to a different context 18:01 💡 Tip: connecting your interests to the world! 21:01 Analysing existing PDF papers step by step 22:55💡Tip: knowledge graphs ensure you don’t miss out anything