Who it is built for
- Researchers analyzing papers, notes, and qualitative data
- SEO and market researchers studying content gaps
- LLM users who want knowledge graphs through MCP
Visual text analysis with knowledge graphs and AI
InfraNodus is a text-analysis and knowledge-graph platform for turning documents, search results, surveys, and other text into interactive topic networks. It identifies clusters, relationships, sentiment, and content gaps, then uses AI and MCP integrations to generate summaries, research questions, and ideas.
The decision
Start with the job, the team, and the constraints. Product fit becomes much clearer when those three line up.
Inside the product
The core product capabilities, grouped around the work they enable.
InfraNodus represents text as a knowledge graph to reveal topical clusters, influential concepts, relationships, and gaps.
Users can analyze text, files, spreadsheets, websites, search results, YouTube content, RSS feeds, and other sources.
Built-in AI and an MCP server generate summaries, research questions, and ideas from graph-based context.
Import or write text, upload files, or connect a supported source to generate a knowledge graph. Explore topic clusters, relevant excerpts, and content gaps, then use the built-in AI or MCP server to produce summaries, questions, and new ideas.
Plans and official links
See the entry price, free access options, company details, and direct vendor destinations in one place.
Choosing for a real workflow?
We map the workflow, connect existing systems, choose what to buy, and build what is missing.