name: infranodus description: > Text network analysis, knowledge graphs, content gap detection, SEO/GEO optimization, structured memory, and text comparison via the InfraNodus MCP server (mcporter). Use when asked to: analyze text structure, generate knowledge graphs, find content gaps, generate research questions or ideas, compare texts, optimize text/content for SEO, analyze Google search results/queries, retrieve from a knowledge base (GraphRAG), save/retrieve structured memories, develop latent topics, or bridge conceptual gaps. Supports plain text, URLs (including YouTube video transcription), and existing InfraNodus graphs. homepage: https://infranodus.com metadata: { "openclaw": { "emoji": "🕸️", "requires": { "bins": ["mcporter"], "env": ["INFRANODUS_API_KEY"] }, "primaryEnv": "INFRANODUS_API_KEY", "install": [ { "id": "mcporter", "kind": "node", "package": "mcporter", "bins": ["mcporter"], "label": "Install mcporter (node)", }, ], }, }

InfraNodus

Text network analysis and knowledge graph tools via the InfraNodus MCP server.

Setup & Auth

Option 1: API Key (recommended for headless/automated setups)

Set INFRANODUS_API_KEY via OpenClaw config or environment variable. The key is a Bearer token from your InfraNodus account.

OpenClaw config (~/.openclaw/openclaw.json):

{
  "skills": {
    "entries": {
      "infranodus": {
        "enabled": true,
        "apiKey": "YOUR_INFRANODUS_API_KEY"
      }
    }
  }
}

OpenClaw maps apiKey → INFRANODUS_API_KEY env var automatically.

Or set the env var directly: export INFRANODUS_API_KEY=your_key_here

When an API key is available, add the server without OAuth:

mcporter config add infranodus \
  --url https://mcp.infranodus.com/ \
  --transport http \
  --header "accept=application/json, text/event-stream" \
  --header "Authorization=Bearer $INFRANODUS_API_KEY" \
  --scope home

Option 2: OAuth (interactive browser login)

# 1. Add the server with OAuth
mcporter config add infranodus \
  --url https://mcp.infranodus.com/ \
  --transport http \
  --auth oauth \
  --header "accept=application/json, text/event-stream" \
  --scope home

# 2. Authenticate (opens browser)
mcporter auth infranodus

To re-authenticate: mcporter auth infranodus --reset

Preflight checks

mcporter list — server must show as healthy
test -n "$INFRANODUS_API_KEY" — or OAuth tokens must be cached
If auth fails: re-run mcporter auth infranodus or check your API key

Verify

mcporter list infranodus

Users need an InfraNodus account at https://infranodus.com.

Calling Tools

mcporter call infranodus.<tool_name> key=value
# or with JSON args:
mcporter call infranodus.<tool_name> --args '{"text": "...", "includeGraph": true}'

All analysis tools accept either text (plain text) or url (web page / YouTube video URL). Many also accept an existing InfraNodus graph via graphName.

Tool Catalog

Analysis & Knowledge Graph Tools

Tool	Purpose
`generate_knowledge_graph`	Full graph analysis: clusters, gaps, concepts, relations, diversity stats. Set `includeGraph: true` for full structure.
`create_knowledge_graph`	Same as above but saves the graph to InfraNodus. Requires `graphName`.
`analyze_text`	General text analysis with clusters, gaps, concepts, and statements. Focus on analysis results rather than graph structure.
`analyze_existing_graph_by_name`	Analyze an already-saved InfraNodus graph by name.
`generate_topical_clusters`	Compact extraction of main topical clusters only.
`generate_content_gaps`	Identify underdeveloped areas between topical clusters.
`generate_contextual_hint`	Structural summary for LLM context (useful for GraphRAG augmentation).

Ideation & Development Tools

Tool	Purpose
`generate_research_questions`	Generate research questions bridging content gaps. Use `useSeveralGaps: true` for diversity.
`generate_research_ideas`	Generate ideas to develop the text. Use `shouldTranscend: true` to connect to wider discourse.
`develop_text_tool`	Combined pipeline: content gap ideas + latent topic ideas + conceptual bridges. Use `transcendDiscourse: true` for outside-the-box thinking.
`develop_latent_topics`	Find underdeveloped topics and generate ideas to develop them. `requestMode: "transcend"` for wider context.
`develop_conceptual_bridges`	Find high-influence bridging concepts and generate ideas linking discourse to other contexts.
`optimize_text_structure`	Analyze bias/coherence and suggest improvements. `responseType: "transcend"` for broader perspective.

Memory Tools (Knowledge Graph Memory)

Tool	Purpose
`memory_add_relations`	Save structured memories as knowledge graphs with `[[wikilink]]` entities. Use `modifyAnalyzedText: "extractEntitiesOnly"` for entity-focused graphs.
`memory_get_relations`	Retrieve memories by entity from a graph. Pass `memoryContextName` and optional `entity` (e.g. `[[god]]`).

Retrieval & Search Tools

Tool	Purpose
`retrieve_from_knowledge_base`	GraphRAG retrieval from a saved graph. Pass `graphName`, `prompt`, and optionally `includeGraphSummary: true`.
`list_graphs`	List graphs in user's account. Filter by `nameContains`, `type`, etc.
`search`	Search all graphs for statements containing a term. Returns graph IDs.
`fetch`	Fetch specific statements found by `search` using the returned `id`.

Text Comparison Tools

Tool	Purpose
`generate_difference_graph_from_text`	Show what's missing in the first context that exists in the others. Pass `contexts` array of `{text}`, `{url}`, or `{graphName}` objects.
`generate_overlap_from_texts`	Find common topics across all provided contexts.
`merged_graph_from_texts`	Merge multiple sources into one graph for overview analysis.

SEO / GEO / LLMO Tools

Tool	Purpose
`analyze_google_search_results`	Graph of Google search results for queries. Use `includeSearchResults: true` for URLs.
`analyze_related_search_queries`	Analyze "people also search for" data with search volume. Set `importLanguage` and `importCountry`.
`search_queries_vs_search_results`	Find queries with high volume not covered by current results — content opportunities. Use `includeSearchQueries: true` for volume data.
`generate_seo_report`	Full SEO report combining all SEO tools. Use `contentToExtract: "header tags"` for header analysis. Timeout: 90s+

Key Patterns

Input flexibility: Most tools accept text, url (including YouTube), or reference an existing graphName.

Comparison tools use a contexts array: [{text: "..."}, {url: "..."}, {graphName: "..."}]

Diversity stats in responses indicate text focus: biased → too concentrated, focused → somewhat concentrated, diversified → balanced, dispersed → too scattered.

Content gaps show under-connected topic clusters — opportunities for new ideas or content.

Conceptual gateways are high-influence bridging nodes linking different topic clusters.

For detailed response schemas and examples, see references/tool-examples.md.

ナビゲーション

Skillsとは？

リンク

infranodus