InfraNodus
Enables advanced text network analysis and knowledge graph generation using graph theory algorithms to identify topics, detect content gaps, and extract structured insights from unstructured text.
What is InfraNodus?
InfraNodus is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables advanced text network analysis and knowledge graph generation using graph theory algorithms to identify topics, detect content gaps, and extract structured insights from unstructured text.
Enables advanced text network analysis and knowledge graph generation using graph theory algorithms to identify topics, detect content gaps, and extract structured insights from unstructured text.
This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Enables advanced text network analysis and knowledge graph g
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx infranodus-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use InfraNodus
InfraNodus MCP Server connects AI assistants to InfraNodus, a text network analysis platform that applies graph theory algorithms to unstructured text to surface hidden topics, structural gaps, and conceptual relationships. With 28+ exposed tools, it can generate knowledge graphs, run SEO analyses, compare documents for overlap or divergence, retrieve items from a knowledge base, and produce research questions — all from natural language prompts. Researchers, content strategists, and knowledge managers use it to turn raw text into structured network insights without leaving their AI client.
Prerequisites
- Node.js 18 or higher with npx available
- An InfraNodus account and API key from https://infranodus.com/api-access (free tier allows 70 requests without a key)
- An MCP client such as Claude Desktop or Cursor IDE
- INFRANODUS_API_KEY environment variable set to your API key
Obtain your InfraNodus API key
Sign in to InfraNodus and navigate to the API Access page at https://infranodus.com/api-access to generate your personal API key. The free tier allows 70 requests without authentication.
Add the server via the Claude MCP CLI (recommended)
Use the claude mcp add command to install and configure the server in one step, passing your API key as an environment variable.
claude mcp add infranodus -s user \
-- env INFRANODUS_API_KEY=YOUR_KEY \
npx -y infranodus-mcp-serverOr configure manually in your MCP client config
Edit your claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/claude_desktop_config.json) to add the InfraNodus server entry with your API key.
{
"mcpServers": {
"infranodus": {
"command": "npx",
"args": ["-y", "infranodus-mcp-server"],
"env": {
"INFRANODUS_API_KEY": "YOUR_INFRANODUS_API_KEY"
}
}
}
}Restart your MCP client
Restart Claude Desktop or your chosen client after updating the config so the new server is registered and its 28+ tools become available.
Verify the server is connected
Ask your AI client to list available InfraNodus tools or run a quick analysis to confirm the server is responding correctly.
InfraNodus Examples
Client configuration
claude_desktop_config.json entry for InfraNodus MCP server using npx. Replace YOUR_INFRANODUS_API_KEY with your actual key from infranodus.com/api-access.
{
"mcpServers": {
"infranodus": {
"command": "npx",
"args": ["-y", "infranodus-mcp-server"],
"env": {
"INFRANODUS_API_KEY": "YOUR_INFRANODUS_API_KEY"
}
}
}
}Prompts to try
Example prompts that exercise InfraNodus's knowledge graph generation, gap analysis, SEO, and memory tools.
- "Use InfraNodus to analyze this text and identify the main topics and their relationships"
- "Generate a knowledge graph from my research notes and highlight structural gaps"
- "Find content gaps in this article that I should address in a follow-up piece"
- "Generate research questions based on the gaps found in this document"
- "Run an SEO analysis on the following set of keyword phrases"
- "Compare these two documents and show where they overlap and where they diverge"Troubleshooting InfraNodus
API requests fail with authentication errors
Verify that INFRANODUS_API_KEY is correctly set in your MCP client's env block. Confirm the key is valid by logging in to infranodus.com and checking the API Access page. The free tier of 70 requests will show errors once exhausted without a paid key.
npx fails to install infranodus-mcp-server or returns 'package not found'
Make sure you have Node.js 18+ and a recent version of npm. Try running 'npx -y infranodus-mcp-server' directly in a terminal to see the exact error. Clear the npx cache with 'npx clear-npx-cache' if a stale version is cached.
Tools appear but graph analysis returns empty or unexpected results
InfraNodus requires sufficient text length to build meaningful networks — at least a few paragraphs. Also verify your API key has not exceeded its request quota. Check the infranodus.com dashboard for usage statistics.
Frequently Asked Questions about InfraNodus
What is InfraNodus?
InfraNodus is a Model Context Protocol (MCP) server that enables advanced text network analysis and knowledge graph generation using graph theory algorithms to identify topics, detect content gaps, and extract structured insights from unstructured text. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install InfraNodus?
Follow the installation instructions on the InfraNodus GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with InfraNodus?
InfraNodus works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is InfraNodus free to use?
Yes, InfraNodus is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
InfraNodus Alternatives — Similar Knowledge & Memory Servers
Looking for alternatives to InfraNodus? Here are other popular knowledge & memory servers you can use with Claude, Cursor, and VS Code.
MemPalace
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Memu
★ 13.7kMemory for 24/7 proactive agents like OpenClaw.
MemOS
★ 9.3kMemOS (Memory Operating System) is a memory management operating system designed for AI applications. Its goal is: to enable your AI system to have long-term memory like a human, not only remembering what users have said but also actively invoking, u
Everos
★ 5.4kBuild, evaluate, and integrate long-term memory for self-evolving agents.
Browse More Knowledge & Memory MCP Servers
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Set Up InfraNodus in Your Editor
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Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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