Infranodus Mcp Server Infranodus
by ai.smitherycommunityv1.0.0
94
24
MCP server that connects InfraNodus knowledge graph and text network analysis to LLM workflows and AI assistants. It can analyze text, URLs, search results, and existing graphs to generate knowledge graphs, identify topics and content gaps, and retrieve graph-based memory/context.
From the registry: Map text into knowledge graphs to create a structured representation of conceptual relations and t…
Install & configure
Prerequisites
- optionalInfraNodus API keyCreate an InfraNodus account and generate an API key. First 70 requests work without a key.https://infranodus.com/api-access
Install in your client
Paste into the AI you're chatting with — it will figure out the rest
Please install the `infranodus-mcp-server-infranodus` MCP server into my current AI client (that's you).
Optional prerequisites:
- InfraNodus API key — Create an InfraNodus account and generate an API key. First 70 requests work without a key. (https://infranodus.com/api-access)
Canonical MCP server config (stdio transport):
- command: `npx`
- args: ["-y","infranodus-mcp-server"]
- optional environment variables:
- `INFRANODUS_API_KEY`: InfraNodus API key. First 70 requests work without it. (example: `<your-infranodus-api-key>`)
Note: Knowledge graph / text network analysis toolkit with 26+ tools. Also available as a hosted OAuth MCP at https://mcp.infranodus.com.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.Note: Knowledge graph / text network analysis toolkit with 26+ tools. Also available as a hosted OAuth MCP at https://mcp.infranodus.com.
Tools (26)
generate_knowledge_graph
Convert text into a knowledge graph and extract topics, concepts, relationships, clusters, and AI topic names.
analyze_existing_graph_by_name
Retrieve and analyze a previously saved InfraNodus graph by name.
analyze_text
Analyze text, a URL, or a YouTube transcript to extract graph structure, topics, clusters, statements, and summary.
generate_content_gaps
Detect missing connections, underexplored topics, research questions, and content opportunities.
generate_topical_clusters
Generate topics and clusters of keywords from text using knowledge graph analysis.
generate_contextual_hint
Provide a topical overview and insights to help LLMs generate better responses.
generate_research_questions
Generate research questions that bridge content gaps from text, URL, or an existing graph.
generate_research_ideas
Generate research ideas based on content gaps identified in text.
optimize_text_structure
Analyze bias and coherence in text and suggest how to balance, deepen, or focus the discourse.
generate_responses_from_graph
Generate responses based on an existing InfraNodus graph.
develop_conceptual_bridges
Analyze text and develop latent ideas connecting it to broader discourse.
Environment variables
INFRA NODUS_API_KEYrequiredAPI key needed to authenticate with InfraNodus and access the service.Prerequisites
- • Node.js 18+
Remote Endpoints
https://server.smithery.ai/@infranodus/mcp-server-infranodus/mcp
type: streamable-http
Details
- Language
- TypeScript
- License
- MIT
- Released
- Oct 4, 2025
- Last commit
- Jun 15, 2026
- Registry name
- ai.smithery/infranodus-mcp-server-infranodus
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