ai.smithery/infranodus-mcp-server-infranodus
Map text into knowledge graphs to create a structured representation of conceptual relations and t…
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# InfraNodus MCP Server
A Model Context Protocol (MCP) server that integrates InfraNodus knowledge graph and text network analysis capabilities into LLM workflows and AI assistants like Claude Desktop.
## Overview
InfraNodus MCP Server enables LLM workflows and AI assistants to analyze text using advanced network science algorithms, generate knowledge graphs, detect content gaps, and identify key topics and concepts. It transforms unstructured text into structured insights using graph theory and network analysis.
## Features
### You Can Use It To
- Connect your existing InfraNodus knowledge graphs to your LLM workflows and AI chats
- Identify the main topical clusters in discourse without missing the important nuances (works better than standard LLM workflows)
- Identify the content gaps in any discourse (helpful for content creation and research)
- Generate new knowledge graphs from any text and use them to augment your LLM responses
- Save and retrieve entities and relations from memory using the knowledge graphs
### Available Tools
1. **generate_knowledge_graph**
- Convert any text into a visual knowledge graph
- Extract topics, concepts, and their relationships
- Identify structural patterns and clusters
- Apply AI-powered topic naming
- Perform entity detection for cleaner graphs
2. **analyze_existing_graph_by_name**
- Retrieve and analyze existing graphs from your InfraNodus account
- Access previously saved analyses
- Export graph data with full statistics
3. **analyze_text**
- Analyze a text, URL, or YouTube transcript
- Extract and analyze a graph from text or URL; provide either text or url
- Get topics, clusters, statements, graph structure, and AI summary as requested
4. **generate_content_gaps**
- Detect missing connections in discourse
- Identify underexplored topics
- Generate research questions
- Suggest content development opportunities
5. **generate_topical_clusters**
- Generate topics and clusters of keywords from text using knowledge graph analysis
- Make sure to beyond genetic insights and detect smaller topics
- Use the topical clusters to establish topical authority for SEO
6. **generate_contextual_hint**
- Generate a topical overview of a text and provide insights for LLMs to generate better responses
- Use it to get a high-level understanding of a text
- Use it to augment prompts in your LLM workflows and AI assistants
7. **generate_research_questions**
- Generate research questions that bridge content gaps from text, URL, or an existing InfraNodus graph
- Use them as prompts in your LLM models and AI workflows
- Use any AI model (included in InfraNodus API)
- Content gaps are identified based on topical clustering
8. **generate_research_ideas**
- Generate innovative research ideas based on content gaps identified in the text
- Get actionable ideas to improve the text and develop the discourse
- Use any AI model (included in InfraNodus API)
- Ideas are generated from gaps between topical clusters
9. **optimize_text_structure**
- Analyze the level of bias and coherence in text using knowledge graph analysis
- If the text is too biased, develop the represented topics to balance the discourse
- If the text is focused or diversified, develop the content gaps to deepen the analysis
- If the text is dispersed, focus the most common gap topics to improve coherence
- Choose response type: response, idea, question, or transcend
10. **generate_responses_from_graph**
- Generate responses based on an existing InfraNodus graph
- Integrate them into your LLM workflows and AI assistants
- Use any AI model (included in InfraNodus API)
- Use any prompt
11. **develop_conceptual_bridges**
- Analyze text and develop latent ideas based on concepts that connect this text to a broader discourse
- Discover hidden themes and patterns that link your text to wider contexts
- Use any AI model (included in InfraNodus API)
- Generate insights that help develop the discourse
12. **develop_latent_topics**
- Analyze text and extract underdeveloped topics with ideas on how to develop them
- Identify topics that need more attention and elaboration
- Use any AI model (included in InfraNodus API)
- Get actionable suggestions for content expansion
13. **develop_text_tool**
- Comprehensive text analysis combining content gap ideas, latent topics, and conceptual bridges
- Executes multiple analyses in sequence with progress tracking
- Generates research ideas based on content gaps
- Identifies latent topics and conceptual bridges to develop
- Finds content gaps for deeper exploration
14. **create_knowledge_graph**
- Create a knowledge graph in InfraNodus from text and provide a link to it
- Use it to create a knowledge graph in