# infranodus-mcp-server-infranodus

Converts text into knowledge graphs, pinpoints discourse gaps, and extracts topical clusters using graph science. Helps map research themes and structure content.

- MCP server · `type=mcp` · Claude Code, Codex, Cursor, GitHub Copilot, Windsurf (Devin Desktop), Cline, Zed · ★ 104
- Author: infranodus
- License: MIT · policy=link-only · description only; the file stays with the author
- Source: https://github.com/infranodus/mcp-server-infranodus
- Updated: 2026-10-21
- HTML: https://affpapa.org/en/nevibecode/mcp/infranodus-mcp-server-infranodus

## What it does

This server connects AI assistants to the network science engine from InfraNodus. Tools like `analyze_text` and `generate_knowledge_graph` break down raw notes or video transcripts into concept networks. It maps concept topology. Instead of plain keyword counts, the algorithms reveal hidden structural gaps between topic groups.

The toolset also evaluates thought chains via `optimize_reasoning` to detect cognitive bias and guides content development. When sending statements into a graph, it can structure wikilinks or turn categories into nodes for Obsidian setups.

Querying saved workspaces and using generative graph tools requires an active InfraNodus API account.

## Requirements
- Remote server: `https://server.smithery.ai/@infranodus/mcp-server-infranodus/mcp`

## Install

### Claude Code (native platform)

**Platform CLI: remote server**
```bash
claude mcp add --transport http infranodus-mcp-server-infranodus https://server.smithery.ai/@infranodus/mcp-server-infranodus/mcp
```

### Codex

**Platform CLI: remote server**
```bash
codex mcp add infranodus-mcp-server-infranodus --url https://server.smithery.ai/@infranodus/mcp-server-infranodus/mcp
```

### Cursor

**Config file**
File `.cursor/mcp.json`:
```json
{
    "mcpServers": {
        "infranodus-mcp-server-infranodus": {
            "url": "https://server.smithery.ai/@infranodus/mcp-server-infranodus/mcp"
        }
    }
}
```

### GitHub Copilot

**Config file**
File `.vscode/mcp.json`:
```json
{
    "servers": {
        "infranodus-mcp-server-infranodus": {
            "type": "http",
            "url": "https://server.smithery.ai/@infranodus/mcp-server-infranodus/mcp"
        }
    }
}
```

### Gemini CLI

**Platform CLI: remote server**
```bash
gemini mcp add -t http infranodus-mcp-server-infranodus https://server.smithery.ai/@infranodus/mcp-server-infranodus/mcp
```

## When to use it
- map concept networks directly from raw notes
- detect structural discourse gaps in drafts
- group keywords into thematic clusters for SEO
- assess reasoning chains for bias and coherence

## Example prompts
- Generate a knowledge graph from this markdown file and list the topical clusters.
- Check our ongoing discussion for reasoning bias using `optimize_reasoning`.
- Find content gaps in the draft and outline three research questions to bridge them.

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