# InfraNodus > Text analysis tool that maps any text as a knowledge graph to show topic clusters and the gaps between them. InfraNodus is a text analysis tool that represents notes, documents, search results or reviews as a network graph of connected words. InfraNodus applies graph algorithms to find the main topic clusters and the gaps between them, and its built-in AI proposes ideas that link those gaps. Users import data, read the graph and generate questions or summaries. **Best for:** Researchers, writers and SEO practitioners who want to see what a body of text covers and which connections it leaves out. - Official site: https://infranodus.com - Listed in: [Research & AI Search](https://trendhub.net/ai-tools/category/research-tools), [Notes & Knowledge Management](https://trendhub.net/ai-tools/category/notes-knowledge), [SEO & AI Visibility](https://trendhub.net/ai-tools/category/seo-tools) - Last checked: 2026-10-09 (facts taken from infranodus.com) - Source page: https://trendhub.net/ai-tools/infranodus-knowledge-graph-text-analysis-tool ## Key facts - Platforms: Web, API, MCP, Browser extension, Plugin - API: Yes - Made by: InfraNodus ## What is InfraNodus? InfraNodus is a text analysis and visualisation tool built on network science. It converts any text into a graph in which words are nodes and co-occurrences are links, then identifies influential keywords, topical clusters and structural gaps, meaning groups of ideas that are not yet connected. An AI chatbot inside the app uses that structure to produce overviews, summaries and research questions. Data can be typed into a live editor or imported from PDF, text, Markdown and CSV files, Google and Google Scholar results, YouTube transcripts and comments, whole websites, Amazon reviews and RSS feeds. Topic modelling and sentiment analysis are included. The graphs can also serve other software through an API, an MCP server for clients such as Claude and ChatGPT, an n8n node, an Obsidian plugin, a browser extension and a VSCode or Cursor extension. ## Key features - **Text Network Graph**: Draws an interactive graph of a text so main concepts and their relations can be explored visually. - **Topical Clusters**: Groups related terms into themes and ranks the keywords that hold each one together. - **Content Gap Detection**: Points to clusters that are weakly linked and suggests questions that would bridge them. - **Built-In AI Chat**: Generates summaries, facts and research questions grounded in the selected part of the graph. - **Multi-Source Import**: Loads files, spreadsheets, search results, video transcripts, websites, product reviews and feeds. - **MCP Server and Integrations**: Makes graphs available to LLM clients, n8n workflows, Obsidian vaults and code editors. ## How InfraNodus works 1. **Import your text**: Write in the editor, upload files or pull data from a supported source or MCP connection. 2. **Get an overview**: Read the graph to see main clusters, top keywords and trends. 3. **Zoom into details**: Select parts of the graph to find relevant excerpts and relations. 4. **Find the gaps**: Look at clusters that are not yet linked. 5. **Generate ideas**: Ask the AI chatbot for questions, summaries or facts based on the graph. ## Use cases - **Literature Mapping**: A researcher imports Google Scholar results to see which themes a field has covered. - **SEO Content Planning**: A marketer compares search queries with ranking pages to find topics nobody answers well. - **Survey Analysis**: An analyst loads open-ended responses from a CSV and filters themes by sentiment. - **Competitor Review**: A strategist graphs rival websites to learn what they leave unsaid. - **Graph Context for an LLM**: A developer connects the MCP server so an assistant reasons over a private knowledge graph. ## Things to know - **EU hosting**: The site says data is kept private, can be exported and is hosted in the European Union. - **Agent skills are a separate install**: After the MCP server is connected, free skills for agents such as Claude Code or Cursor are added with a terminal command. ## FAQs ### What is InfraNodus? InfraNodus is a text analysis tool that visualises text as a knowledge graph and uses AI to generate insight from its structure. ### What is InfraNodus used for? InfraNodus is used for research, ideation, qualitative and thematic analysis, market research and SEO content planning. ### What data can I import into InfraNodus? InfraNodus imports text, PDF, Markdown and CSV files, Google and Scholar results, YouTube content, websites, Amazon reviews, RSS feeds and notes from Evernote or Obsidian. ### Does InfraNodus have an API? Yes. InfraNodus provides an API together with no-code integrations and an MCP server. ### Does InfraNodus work with ChatGPT and Claude? Yes. InfraNodus can be connected to Claude, ChatGPT, Cursor and similar clients through its MCP server. ### Which languages does InfraNodus support? InfraNodus lists English, German, French, Portuguese and Spanish among its supported languages. ### Where is InfraNodus data stored? InfraNodus states that user data stays private, can be exported and sits on servers in the EU. --- Source: https://trendhub.net/ai-tools/infranodus-knowledge-graph-text-analysis-tool (trendhub)