Skip to main content

🔦 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.

Metadata

Release files for dante-mcp 2.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for dante-mcp 2.1.0
File Size Uploaded Provenance Actions
dante_mcp-2.1.0.tar.gz 7.5 kB Without provenance Details for dante_mcp-2.1.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for dante-mcp 2.1.0
File Interpreter ABI Platform Actions
dante_mcp-2.1.0-py3-none-any.whl Python 3 none any Details for dante_mcp-2.1.0-py3-none-any.whl

Total release size: 15.7 kB

Release files / dante_mcp-2.1.0.tar.gz

Download URL dante_mcp-2.1.0.tar.gz
Size 7.5 kB
Tags Source
SHA-256 checksum
How to use checksums
8867e4d18b556ad45c89cd47142b8fe661da9914408c82b46fd8fdd38b379ca3
BLAKE2b-256 checksum
How to use checksums
59a2c234374493d33297a0abaeadbe86af1db4f62363c66f7b8566cba9effeb3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.5

Release files / dante_mcp-2.1.0-py3-none-any.whl

Download URL dante_mcp-2.1.0-py3-none-any.whl
Size 8.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
7016ab848aff84e21b5a68a4e78f2bf2903f8e81739ba333bce08bff2eca77de
BLAKE2b-256 checksum
How to use checksums
378c7da33009daf3200bda9db67813dc1ec20c5910ded51781053fb6359a4a4f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.5

Security for dante-mcp 2.1.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

2.1.0 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page