Loading MCP servers…
MCP servers
InfraNodus Knowledge Graphs & Text Analysis
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.
Follow the source guide for connection and authentication details.
Available tools
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.