28 tools from the Infranodus MCP Server, categorised by risk level.
View the Infranodus policy →analyze_existing_graph_by_name Extract and analyze the content of an existing InfraNodus graph from your account. 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 analyze_text Extract and analyze a graph from text, URL, YouTube video transcript, or an existing InfraNodus graph. 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... 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 progres... 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 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. 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 ... memory_get_relations Provide a list of relations from the InfraNodus memory for a given concept or entity 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 co... overlap_between_texts Extract the common relationships and similarities between texts and generate an overlap graph 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. search Find the concepts and terms in existing InfraNodus graphs 2/5 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 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. 2/5 generate_content_gaps Generate content gaps from text, URL, or an existing graph using knowledge graph analysis. 2/5 generate_contextual_hint Generate information about the main topics and concepts in a text to augment RAG retrieval and text analysis. 2/5 generate_knowledge_graph Generate a knowledge graph with main topics, topical clusters, concepts, concepts (nodes) relations (edges) and structural gaps. Only use when expl... 2/5 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 t... 3/5 generate_research_questions Analyze text or an existing graph and generate innovative research questions based on the content gaps identified between the topical clusters. Pro... 2/5 generate_responses_from_graph Use text, URL, or an existing InfraNodus knowledge graph and generate responses and expert advice based on a prompt provided. 2/5 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 conte... 2/5 generate_topical_clusters Generate topics and clusters of keywords from text, URL, or an existing graph using knowledge graph analysis. 2/5 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. 2/5 The Infranodus MCP server exposes 28 tools across 3 categories: Read, Write, Execute.
Use Intercept, the open-source MCP proxy. Write YAML rules for each tool — rate limits, argument validation, or deny rules — then run Intercept in front of the Infranodus server.
Infranodus tools are categorised as Read (17), Write (10), Execute (1). Each category has a recommended default policy.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept