InfraNodus CLI Skill for OpenClaw
The InfraNodus skill (infranodus) is a comprehensive reference that gives
OpenClaw, Claude Code, Cursor, or any LLM client access to the full
InfraNodus MCP server tool catalog via MCPorter.
It covers text network analysis, knowledge graph generation, content gap detection, SEO/GEO optimization, structured memory, text comparison, and GraphRAG retrieval. The skill accepts plain text, URLs (including YouTube video transcription), and existing InfraNodus graphs.
Get Started
Create an Account
Sign up for a free InfraNodus account to get access to the knowledge graph tools and your API key.
Create a Free AccountGet InfraNodus MCP
https://mcp.infranodus.com
Add this URL as a connector via Settings > Connectors in Claude Web / Desktop and authenticate with your InfraNodus API key via OAuth.
https://mcp.infranodus.com
Open the ChatGPT Apps page > Advanced Settings > enable Developer Mode > Create App, paste this URL (leave the OAuth fields empty), click Connect, and authenticate with your InfraNodus API key. Full guide: ChatGPT setup.
claude mcp add infranodus -s user --transport http https://mcp.infranodus.com/mcp
Then open Claude Code in terminal, run /mcp and pick
"Authenticate" — it opens the browser OAuth flow where you will need to
put in your InfraNodus API key to connect to
the MCP server.
{
"mcpServers": {
"infranodus": {
"url": "https://mcp.infranodus.com"
}
}
}
Add this to ~/.cursor/mcp.json (all projects) or
.cursor/mcp.json (one project) — or use
Cursor Settings > MCP > New MCP Server. Then
click "Login" next to the server to authenticate with your
InfraNodus API key.
codex mcp add infranodus --url https://mcp.infranodus.com
codex mcp login infranodus
Run these commands in your terminal — the login command opens the
browser OAuth flow where you enter your
InfraNodus API key. (You can also add the
server to ~/.codex/config.toml manually.)
{
"mcpServers": {
"infranodus": {
"command": "npx",
"args": ["-y", "infranodus-mcp-server"],
"env": {
"INFRANODUS_API_KEY": "your-api-key"
}
}
}
}
Add this to your LLM client's MCP configuration file, replacing
your-api-key with your
InfraNodus API key. See our
deployment guides for client-specific
instructions (n8n, Make.com, local setup, and more).
Install the Skill
/plugin marketplace add infranodus/skills
/plugin install infranodus@infranodus-skills
Run these two commands in the Claude Code prompt to install
the skill as a plugin (use
infranodus-all@infranodus-skills to install all
our skills at once). Or use npx in your terminal:
npx skills add infranodus/skills --skill infranodus -g -a claude-code -y
npx skills add infranodus/skills --skill infranodus -g
When prompted, select the agents where you want to add the skill — e.g. claude-code, codex, or cursor.
npx comes bundled with Node.js. For Claude Web / Desktop, ChatGPT, and OpenClaw, see the full installation instructions.
Didn't work? You can simply download infranodus.zip from our GitHub repository and add it to your LLM client manually — see the step-by-step instructions.
Install the Skill
Via OpenClaw Chat (recommended)
Run in the OpenClaw chat (replace the version number with the latest one):
install this skill to the `skills` folder: https://github.com/infranodus/skills/releases/download/v1.4.4/infranodus.zip
This may not work in a sandboxed environment, in which case you can proceed with the manual installation below.
Manual Installation
Download infranodus.zip and copy it to the OpenClaw skills folder:
cp infranodus.zip ~/.openclaw/skills/infranodus.zip
unzip ~/.openclaw/skills/infranodus.zip -d ~/.openclaw/skills/infranodus
For a specific project or workspace, copy to that project's skills folder instead. For instance, if you'd like the skill only to be available in a specific workspace:
cp infranodus.zip ~/.openclaw/workspaces/skills/infranodus.zip
unzip ~/.openclaw/workspace/skills/infranodus.zip -d ~/.openclaw/workspace/skills/infranodus
Setup & Authentication
The skill requires MCPorter installed and an InfraNodus API key. Two authentication options:
Option 1: API Key (recommended for headless / automated setups)
Set the environment variable directly in OpenClaw's interface: go to Settings > Skills > Worksspace Skills > and add the InfraNodus API key.
You can also add the key manually in the OpenClaw config file:
Or via OpenClaw config (~/.openclaw/openclaw.json):
{
"skills": {
"entries": {
"infranodus": {
"enabled": true,
"apiKey": "YOUR_INFRANODUS_API_KEY"
}
}
}
}
Note, that this setup will only work in non-sandboxed environments. For sandboxed environment, you'll either need to provide your InfraNodus API key directly in the chat (less secure) or additionally add it to the `sandbox` environment scope in the `~/.openclaw/openclaw.json` config file like this:
"sandbox": {
"mode": "all",
"workspaceAccess": "rw",
"scope": "session",
"docker": {
"image": "openclaw-sandbox-mcporter:latest",
"network": "bridge",
"binds": [
"/Users/dmt/Software/Second Brain:/mnt/Obsidian/Second Brain:rw",
"/Users/dmt/Dropbox/Research:/mnt/Dropbox/Research:ro"
],
"dangerouslyAllowExternalBindSources": true,
"env": {
"INFRANODUS_API_KEY": "YOUR_INFRANODUS_API_KEY"
}
}
}
OpenClaw maps apiKey to the INFRANODUS_API_KEY env var automatically. Then add the server:
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)
# 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
# Authenticate (opens browser)
mcporter auth infranodus
To re-authenticate: mcporter auth infranodus --reset
Note: OAuth only works in non-sandboxed environments. For sandboxed setups, use the API key approach or add the key in OpenClaw's Skills settings as an environment parameter.
Verify
mcporter list
Expected output:
mcporter 0.7.3 — Listing 1 server(s) (per-server timeout: 30s)
- infranodus (27 tools, 0.8s)
✔ Listed 1 server (1 healthy).
Calling Tools
Once the skill is installed, OpenClaw will automatically call the right tool based on your prompt. You can also call tools manually:
# Inline key=value arguments
mcporter call infranodus.<tool_name> key=value
# JSON arguments
mcporter call infranodus.<tool_name> --args '{"text": "...", "includeGraph": true}'
All analysis tools accept text (plain string), url
(webpage or YouTube video), or graphName (existing InfraNodus graph).
Tool Catalog
Analysis & Knowledge Graphs
| Tool | Purpose |
|---|---|
generate_knowledge_graph | Full graph: clusters, gaps, concepts, relations, diversity. includeGraph: true for full structure. |
create_knowledge_graph | Same as above but saves to InfraNodus. Requires graphName. |
analyze_text | General analysis with clusters, gaps, concepts, and statements. |
analyze_existing_graph_by_name | Analyze an already-saved graph by name. |
generate_topical_clusters | Compact extraction of main topical clusters only. |
generate_content_gaps | Underdeveloped areas between clusters. |
generate_contextual_hint | Structural summary for LLM context / GraphRAG augmentation. |
Ideation & Development
| Tool | Purpose |
|---|---|
generate_research_questions | Questions bridging content gaps. useSeveralGaps: true for diversity. |
generate_research_ideas | Ideas to develop the text. shouldTranscend: true for wider discourse. |
develop_text_tool | Combined: gap ideas + latent topics + conceptual bridges. transcendDiscourse: true for outside-the-box thinking. |
develop_latent_topics | Underdeveloped topics with development ideas. requestMode: "transcend". |
develop_conceptual_bridges | High-influence bridging concepts linking clusters to other contexts. |
optimize_text_structure | Bias/coherence analysis with improvement suggestions. |
Memory (Knowledge Graph Memory)
| Tool | Purpose |
|---|---|
memory_add_relations | Save structured memories as knowledge graphs with [[wikilink]] entities. |
memory_get_relations | Retrieve by entity. Pass memoryContextName, optional entity (e.g. [[god]]). |
Retrieval & Search
| Tool | Purpose |
|---|---|
retrieve_from_knowledge_base | GraphRAG retrieval. graphName + prompt; optional includeGraphSummary: true. |
list_graphs | List graphs. Filter by nameContains, type. |
search | Search all graphs for a term. Returns graph IDs. |
fetch | Fetch full statements found by search using the returned id. |
Text Comparison
All take a contexts array: [{text: "..."}, {url: "..."}, {graphName: "..."}]
| Tool | Purpose |
|---|---|
generate_difference_graph_from_text | What's in contexts 2..N but NOT in context 1. |
generate_overlap_from_texts | Topics common to all contexts. |
merged_graph_from_texts | Merge multiple sources into one overview graph. |
SEO / GEO / LLMO
| Tool | Purpose |
|---|---|
analyze_google_search_results | Graph of Google results. includeSearchResults: true for URLs. |
analyze_related_search_queries | "People also search for" with volume. Set importLanguage, importCountry. |
search_queries_vs_search_results | High-volume queries not covered by results — content opportunities. |
generate_seo_report | Full SEO report combining all tools. Timeout: 90s+. |
Key Patterns
- Input flexibility: most tools accept
text,url(incl. YouTube), orgraphName. - Comparison tools use a
contextsarray of{text},{url}, or{graphName}objects (min 2). - Diversity stats in responses: biased (too concentrated) → focused → diversified (balanced) → dispersed (too scattered).
- Content gaps = under-connected topic clusters = opportunities for new ideas.
- Conceptual gateways = high-influence bridging nodes linking different clusters.
OpenClaw Skill Metadata
The skill registers with OpenClaw using the following metadata, which defines its dependencies and auto-install behavior:
name: infranodus
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)"
This means OpenClaw will automatically check for mcporter and offer to install it if missing.
The INFRANODUS_API_KEY environment variable is required and can be set via OpenClaw's skill settings or ~/.openclaw/openclaw.json.