# Smithery Infranodus Mcp Server Infranodus MCP server

Source: https://glimind.com/server/mcp-registry%2Fai.smithery%2Finfranodus-mcp-server-infranodus
Registry id: `mcp-registry/ai.smithery/infranodus-mcp-server-infranodus`
Status: auth-required (checked 2026-10-27T02:13:41.970Z)

## Measurements (30 days)

- Uptime: 100%
- Checks: 216
- Outages (90 days): 0

## Install

```json
{
  "mcpServers": {
    "smithery-infranodus-mcp-server-infranodu": {
      "type": "http",
      "url": "https://server.smithery.ai/@infranodus/mcp-server-infranodus/mcp"
    }
  }
}
```

Claude Code:

```sh
claude mcp add --transport http smithery-infranodus-mcp-server-infranodu https://server.smithery.ai/@infranodus/mcp-server-infranodus/mcp
```

## Tools (36)

- `add_project_learnings`: Save learnings about a project as statements with type categories
- `analyze_existing_graph_by_name`: Retrieve and analyze existing graphs from your InfraNodus account
- `analyze_google_search_results`: Generate a graph with keywords and topics for Google search results
- `analyze_llm_results`: Turn an LLM's topic description into a knowledge graph revealing its framing
- `analyze_related_search_queries`: Generate a graph from search queries suggested by Google
- `analyze_text`: Analyze a text, URL, or YouTube transcript
- `analyze_youtube_results`: Generate a graph with keywords and topics from YouTube results
- `create_knowledge_graph`: Create a knowledge graph in InfraNodus from text and provide a link to it
- `delete_graph`: Delete one graph entirely from your account
- `delete_statements`: Delete statements from a graph by filter
- `develop_conceptual_bridges`: Analyze text and develop latent ideas based on concepts connecting to broader discourse
- `develop_latent_topics`: Analyze text and extract underdeveloped topics with ideas on how to develop them
- `develop_text_tool`: Comprehensive text analysis combining content gap ideas, latent topics, and conceptual bridges
- `difference_between_texts`: Compare knowledge graphs from texts and find what's not in the first
- `enable_project_learnings`: Create the opt-in, per-project, append-only learnings graph
- `generate_content_gaps`: Detect missing connections in discourse
- `generate_contextual_hint`: Generate a topical overview of a text and provide insights for LLMs
- `generate_knowledge_graph`: Convert any text into a visual knowledge graph
- `generate_ontology_graph`: Generate a reasoning ontology graph from prompt, text, or existing graph
- `generate_research_ideas`: Generate innovative research ideas based on content gaps identified in the text
- `generate_research_questions`: Generate research questions that bridge content gaps from text, URL, or existing graph
- `generate_responses_from_graph`: Generate responses based on an existing InfraNodus graph
- `generate_seo_report`: Analyze content for SEO optimization by comparing with Google results
- `generate_topical_clusters`: Generate topics and clusters of keywords from text using knowledge graph analysis
- `get_project_learnings`: Retrieve learnings for a project by prompt, entity, or structural overview
- `memory_add_relations`: Add relations to the InfraNodus memory from text
- `memory_get_relations`: Retrieve relations from InfraNodus memory for specific entities
- `merged_graph_from_texts`: Build a graph of all texts and URLs, providing topical clusters and gaps
- `optimize_knowledge_base`: Provide structural feedback on a code base or document vault from its digest graph
- `optimize_reasoning`: Apply bias/coherence analysis to the model's own reasoning trace or chat
- `optimize_text_structure`: Analyze the level of bias and coherence in text using knowledge graph analysis
- `overlap_between_texts`: Create knowledge graphs from two or more texts and find similarities
- `retrieve_from_knowledge_base`: Retrieve context from an existing InfraNodus knowledge graph using GraphRAG
- `search_queries_vs_search_results`: Generate a graph of keyword combinations not appearing in search results
- `submit_workflow_feedback`: Internal telemetry reporting what the assistant did with InfraNodus output
- `update_statements`: Edit statements of a graph in place, keeping id, date, and position

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.