# InfraNodus Knowledge Graphs & Text Analysis (verified) 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 rese… ## Quick Start ```bash # Connect this server (installs CLI if needed) npx -y @smithery/cli@latest mcp add infranodus/mcp-server-infranodus # Browse available tools npx -y @smithery/cli@latest tool list infranodus/mcp-server-infranodus # Get full schema for a tool npx -y @smithery/cli@latest tool get infranodus/mcp-server-infranodus generate_knowledge_graph # Call a tool npx -y @smithery/cli@latest tool call infranodus/mcp-server-infranodus generate_knowledge_graph '{}' ``` ## Direct MCP Connection Endpoint: `https://mcp-server-infranodus--infranodus.run.tools` ## Tools (28) - `generate_knowledge_graph` — Generate a knowledge graph with main topics, topical clusters, concepts, concepts (nodes) relations (edges) and structu… - `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 futu… - `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 betwe… - `generate_research_ideas` — Analyze text or an existing graph and generate innovative research ideas based on the content gaps identified between t… - `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… - `generate_responses_from_graph` — Use text, URL, or an existing InfraNodus knowledge graph and generate responses and expert advice based on a prompt pro… - `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 broad… - `develop_latent_topics` — Analyze text or an existing graph, extract underdeveloped topics and get an idea on how to develop them. Provide either… - `develop_text_tool` — Analyze text or an existing graph to extract research questions, develop latent topics, and identify content gaps in a … - `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 pres… - `difference_between_texts` — Extract the conceptial relations that are missing in the first text, url, or InfraNodus graph but are present in the ot… - `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 provi… - `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 que… - `generate_seo_report` — Analyze content for SEO optimization by comparing its knowledge graph with the graphs of Google search results and sear… - `retrieve_from_knowledge_base` — Retrieve the statements and general overview of an existing InfraNodus knowledge graph based on the user's prompt for G… - `list_graphs` — List all graphs (contexts) for the currently logged in user with optional filtering by name, type, date, language, or f… - `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 coul… ```bash # Get full input/output schema for a tool npx -y @smithery/cli@latest tool get infranodus/mcp-server-infranodus ``` ## Resources - `info://about` — InfraNodus MCP server can generate knowledge graphs and perform text analysis using the InfraNodus API. It can work wit… - `info://llms.txt` — Concise index of InfraNodus MCP server documentation, tools, and links following the llms.txt standard for LLM-accessib… - `info://llms-full.txt` — Comprehensive documentation of all InfraNodus MCP tools with parameters, return values, workflow patterns, and key conc… ## Prompts (10) - `analyze-text` — Generate a knowledge graph from text to identify main topics, concepts, and gaps - `gap-analysis` — Find the gaps in a text based on the knowledge graph analysis - `topic-analysis` — Find the main topics and topical clusters in a text based on the knowledge graph analysis - `compare-texts` — Find overlaps and differences between two texts using knowledge graphs - `research-ideas` — Generate research questions and ideas from text or existing graph - `seo-topic-analysis` — Analyze search queries and results to identify search intent, the main topics for topical authority, and high-volume se… - `seo-content-analysis` — Analyze the content to identify SEO opportunities and gaps - `seo-competition-analysis` — Analyze the highest-ranking websites of your competition to identify their main topics and gaps and see what you can fo… - `develop-text` — Develop text using knowledge graph analysis to fill gaps and expand ideas - `save-memory` — Save important information to your InfraNodus knowledge base --- Source: https://github.com/infranodus/mcp-server-infranodus