InfraNodus Knowledge Graphs & Text Analysis
Map text into knowledge graphs to create a structured representation of conceptual relations and topical clusters in your documents.
What it can do
- Generate Knowledge Graph: Generate a knowledge graph with main topics, topical clusters, concepts, concepts (nodes) relations (edges) and structural gaps. Only use when explicitly asked to analyze a t
- Create Knowledge Graph: Create a knowledge graph in InfraNodus from text or from a URL, save it, and provide its name and a link to it for future use.
- Memory Add Relations: Add relations to the InfraNodus memory from text, save it, and provide its name and a link to it for future use.
What data it sees
Do you need an account
No: the server works without sign-in
Map text into knowledge graphs to create a structured representation of conceptual relations and topical clusters in your documents. Detect content gaps between the topical clusters and generate research questions to drive research and content creation using the powerful Graph RAG technology underpinning InfraNodus. Get additional insights about texts: main topics, keywords, and underlying themes. Connect to your existing InfraNodus graphs or create new ones to enrich analysis and outputs.
How to connect
How to connect InfraNodus Knowledge Graphs & Text Analysis to Claude
The server address to paste into Claude settings:
https://mcp-server-infranodus--infranodus.run.tools
- Open Claude (claude.ai or the desktop app).
- Go to Settings → Connectors.
- Click Add custom connector.
- Paste the server address copied below into Remote MCP server URL and click Add.
- In a chat, click + → Connectors and switch the new connector on.
Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.
Authorization
After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.
How to connect InfraNodus Knowledge Graphs & Text Analysis to ChatGPT
The server address to paste into ChatGPT settings:
https://mcp-server-infranodus--infranodus.run.tools
- Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
- Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
- Open Settings → Connectors and click Create.
- Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
- Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
- In a new chat open + → Apps/Connectors and enable the connector.
OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.
Authorization
On first use ChatGPT opens the service's sign-in window. Sign in and approve access.
How to connect InfraNodus Knowledge Graphs & Text Analysis to Cursor
The server address to paste into Cursor settings:
https://mcp-server-infranodus--infranodus.run.tools
Fastest: click Open in Cursor below and confirm the prompt.
Manually:
- In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
- Paste the JSON copied below into
~/.cursor/mcp.json(per project:.cursor/mcp.jsonin the repo root). - Save the file. The server appears in the MCP list; authorize it there if asked.
Authorization
If the service needs sign-in, an authorize button appears next to the server in the MCP list.
Server tool list (28)
Raw names from tools/list. Only developers need these.
| generate_knowledge_graph | Generate a knowledge graph with main topics, topical clusters, concepts, concepts (nodes) relations (edges) and structural gaps. Only use when explicitly asked to analyze a text or generate a knowledge graph. Do not use for short clarifying questions that you already have an answer to from the context of the conversation. |
| create_knowledge_graph | Create a knowledge graph in InfraNodus from text or from a URL, save it, and provide its name and a link to it for future use. |
| memory_add_relations | Add relations to the InfraNodus memory from text, save it, and provide its name and a link to it for future use. |
| memory_get_relations | Provide a list of relations from the InfraNodus memory for a given concept or entity |
| analyze_existing_graph_by_name | Extract and analyze the content of an existing InfraNodus graph from your account. |
| analyze_text | Extract and analyze a graph from text, URL, YouTube video transcript, or an existing InfraNodus graph. |
| generate_content_gaps | Generate content gaps from text, URL, or an existing graph using knowledge graph analysis. |
| generate_topical_clusters | Generate topics and clusters of keywords from text, URL, or an existing graph using knowledge graph analysis. |
| generate_research_questions | Analyze text or an existing graph and generate innovative research questions based on the content gaps identified between the topical clusters. Provide either text, url, or graphName. Can be used to improve the text and the discourse it relates to |
| generate_research_ideas | Analyze text or an existing graph and generate innovative research ideas based on the content gaps identified between the topical clusters inside the text that can be used to improve the text and the discourse it relates to. |
| optimize_text_structure | Analyze the level of bias and coherence in text. If it's too biased, develop the represented topics, if it's focused or diversified, develop the content gaps. If it's dispersed, focus the most common gap topics. |
| generate_responses_from_graph | Use text, URL, or an existing InfraNodus knowledge graph and generate responses and expert advice based on a prompt provided. |
| develop_conceptual_bridges | Analyze text or an existing graph and get ideas on how to develop conceptual bridges in this text to link it to a broader discourse. Provide either text, url, or graphName. |
| develop_latent_topics | Analyze text or an existing graph, extract underdeveloped topics and get an idea on how to develop them. Provide either text, url, or graphName. |
| develop_text_tool | Analyze text or an existing graph to extract research questions, develop latent topics, and identify content gaps in a single workflow with progress tracking. Provide either text, url, or graphName. |
| generate_contextual_hint | Generate information about the main topics and concepts in a text to augment RAG retrieval and text analysis. |
| overlap_between_texts | Extract the common relationships and similarities between texts and generate an overlap graph |
| merged_graph_from_texts | Build a graph of all the texts, URLs, and existing InfraNodus graphs provided, providing topical clusters and gaps present in the merged graph generated from all the texts. |
| difference_between_texts | Extract the conceptial relations that are missing in the first text, url, or InfraNodus graph but are present in the other texts |
| analyze_google_search_results | Generate a knowledge graph and topical clusters from Google search results for provided search queries |
| analyze_related_search_queries | Generate a knowledge graph and identifymain topical clusters in the search requests related to the search queries provided |
| search_queries_vs_search_results | Find the combinations of keywords and topics people search for that don't appear in the search results for the same queries |
| generate_seo_report | Analyze content for SEO optimization by comparing its knowledge graph with the graphs of Google search results and search queries to identify content gaps and opportunities based on the differences |
| retrieve_from_knowledge_base | Retrieve the statements and general overview of an existing InfraNodus knowledge graph based on the user's prompt for GraphRAG based retrieval. |
| list_graphs | List all graphs (contexts) for the currently logged in user with optional filtering by name, type, date, language, or favorite status. Use this to discover available graphs before analyzing or searching them. |
| search | Find the concepts and terms in existing InfraNodus graphs |
| fetch | Fetch a specific search result for an InfraNodus knowledge graph |
| get_more_tools | Check for additional tools whenever your task might benefit from specialized capabilities - even if existing tools could work as a fallback. |