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Dante IX — Autonomous Brand & GEO Agency MCP

Dante IX — Autonomous Brand & GEO Agency MCP

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danteix.comBusiness & Marketing0Updated 2d ago

About Dante IX — Autonomous Brand & GEO Agency MCP

Dante IX’s dante-mcp connects MCP clients to danteix.com for brand intelligence, social listening and generative engine optimization audits. Its five tools measure AI-model brand visibility, search customer friction and produce technical artifacts to address crawler access or inaccurate claims.

Key features

  1. 01Nine-circle brand and social audit
  2. 02Measure AI-model share and win rate
  3. 03Search customer complaints and signals
  4. 04Generate GEO files and crawler rules
  5. 05Create counterweights to false AI claims

Use cases

  1. 01Assess brand recommendations across AI models
  2. 02Find customer complaints and market opportunities
  3. 03Prepare technical files for AI crawlers
  4. 04Respond to inaccurate AI-generated brand claims

MCP support

The MCP server exposes five tools for brand audits, AI visibility measurement, customer-friction searches, GEO shield generation and hallucination remediation. It connects clients such as Claude Desktop, Claude Code, Cursor, Windsurf and Google Antigravity to danteix.com.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"heuristicolab-dante": {
"command": "uvx",
"args": [
"dante-mcp"
],
"env": {
"DANTE_API_KEY": "<DANTE_API_KEY>"
}
}
}
}
Run commanduvx dante-mcp
Environment variables to set
DANTE_API_KEYSecretOptional dnt_live_ API key from https://danteix.com/#modalities (runs in 30% free preview mode if omitted).

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypidante-mcp2.1.0

Tools

5

Saved tool list · updated 1d ago

ParameterTypeRequiredDescription
langstringNoOutput language: 'es' or 'en'
live_geobooleanNoRun live multi-model queries (requires paid DANTE_API_KEY)
target_namestringYesBrand, product, or organization name
vertical_modestringNoVertical mode: 'COMMERCIAL_BRAND', 'INTERNAL_PROJECT', or 'POLITICAL_WAR_ROOM'
industry_or_contextstringYesIndustry vertical and market context

Details

From the project README

🔦 Dante IX (dante-mcp) — Autonomous Brand, Social Listening & Multi-Model GEO Agency MCP

MCP Protocol Website License: MIT

mcp-name: io.github.heuristicolab/dante-mcp

Dante IX (dante-mcp) is the official Model Context Protocol (MCP) connector for danteix.com — the 9-Circle Brand Intelligence, Social Listening, and Generative Engine Optimization (GEO) platform built by Heurístico Lab.

It equips Claude Desktop, Claude Code, Cursor, Windsurf, and Google Antigravity with 5 tools to audit how AI engines (ChatGPT, Gemini, Perplexity) recommend or hallucinate about your brand, analyze real customer friction across digital channels, and synthesize production-ready GEO technical shields (/llms.txt, /.well-known/ai-catalog.json, Schema.org JSON-LD, and ClaimReview counterweights).


🛠️ Exposed MCP Tools (5 Capabilities)

  1. dante.run_audit — Executes a complete 9-Circle Brand, Social Listening & Multi-Model GEO Audit attested with a cryptographic SHA-256 seal.
  2. dante.probe_geo_share — Measures Share of Model (SoM) and First-Choice Win Rate across OpenAI (ChatGPT), Google Gemini, and Perplexity.
  3. dante.query_street_friction — Searches your isolated tenant intelligence vault for customer complaints, irony/sarcasm signals (Circle IV), coordinated bot alerts (Circle VIII), and competitive market opportunities.
  4. dante.forge_geo_shield — Synthesizes production-ready /llms.txt, /.well-known/ai-catalog.json, Schema.org JSON-LD, and robots.txt rules for AI crawlers (GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot, Google-Extended).
  5. dante.remediate_hallucination — Generates semantic counterweight blocks (Markdown + HTML ClaimReview), FAQPage JSON-LD, and verification prompts to remediate inaccurate AI claims.

⚡ Quickstart (Claude Desktop / Cursor / Windsurf / Antigravity)

Install via pip or run directly with uvx:

pip install dante-mcp

Add to your claude_desktop_config.json or .cursor/mcp.json:

{
  "mcpServers": {
    "dante": {
      "command": "uvx",
      "args": ["dante-mcp"],
      "env": {
        "DANTE_API_KEY": "dnt_live_YOUR_KEY_HERE"
      }
    }
  }
}

Note (FREE_TRIAL Preview Mode): If DANTE_API_KEY is omitted, dante-mcp runs in 30% Preview Mode at $0 cost so you can test all 5 tools immediately. To unlock 100% of live multi-model probes and full GEO artifacts, get a PRO_INHOUSE ($199/mo) or AGENCY_PARTNER ($499/mo) key at https://danteix.com/#modalities.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.