About Arcanea Infogenius
Arcanea Infogenius is an MCP server in the Search category: knowledge-first visual intelligence. An MCP server that researches topics via Google Search, extracts facts, then generates information-rich infographics through Gemini 3 Pro. 10 styles including premium glassmorphism.
Install
git clone https://github.com/frankxai/arcanea-infogeniusThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Tools (4)
generate_infographicGenerate a research-grounded infographic on any topic
Parameters not published.
generate_visualGenerate a styled visual or diagram from a text prompt
Parameters not published.
get_stylesList all available visual styles and their descriptions
Parameters not published.
research_topicResearch a topic using Gemini grounding and return structured findings
Parameters not published.
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README
Arcanea InfoGenius — Visual Intelligence MCP Server
Research-grounded infographics and visualizations, delivered as MCP tools.
Arcanea InfoGenius is a Model Context Protocol (MCP) server that generates rich infographics and visual content using Google Gemini 3 Pro. It combines real-time research grounding with image generation to produce accurate, publication-ready visuals directly from your AI coding environment.
Features
- Research-backed visuals — Gemini grounding pulls live data before generating images
- Multiple output styles — Infographics, diagrams, charts, concept art, and more
- MCP-native — Works with any MCP-compatible client out of the box
- Zero config — Single
npxcommand, no build step required
Tools
| Tool | Description |
|---|---|
research_topic |
Research a topic using Gemini grounding and return structured findings |
generate_infographic |
Generate a research-grounded infographic on any topic |
generate_visual |
Generate a styled visual or diagram from a text prompt |
get_styles |
List all available visual styles and their descriptions |
Quick Start
1. Set your API key
export GEMINI_API_KEY="your-google-ai-api-key"
2. Add to your MCP client
Claude Code (~/.claude/settings.json or project .mcp.json):
{
"mcpServers": {
"arcanea-infogenius": {
"command": "npx",
"args": ["arcanea-infogenius"]
}
}
}
Cursor / Windsurf — add the same config to your MCP settings file.
3. Use it
Ask your AI assistant to:
"Research quantum computing breakthroughs in 2026 and generate an infographic"
"Generate a visual diagram of a microservices architecture"
"Show me available infographic styles"
Usage Examples
Research a topic
Tool: research_topic
Input: { "topic": "renewable energy adoption rates by country" }
Returns structured research findings with sources, ready to feed into visualization.
Generate an infographic
Tool: generate_infographic
Input: {
"topic": "AI model scaling laws",
"style": "modern-dark"
}
Generates a complete infographic image grounded in current research.
Generate a visual
Tool: generate_visual
Input: {
"prompt": "System architecture diagram for a real-time multiplayer game",
"style": "technical-blueprint"
}
Generates a styled visual from a descriptive prompt.
Requirements
- Node.js 18+
- Google AI API key with Gemini 3 Pro access (
GEMINI_API_KEY)
How It Works
- Research — Gemini grounding searches the web for current, relevant data
- Synthesize — Findings are structured into a visual layout plan
- Generate — Gemini 3 Pro image generation creates the final visual
- Deliver — The image is returned as a base64-encoded result via MCP
Part of the Arcanea Ecosystem
Arcanea InfoGenius is one module in the Arcanea platform — a creative intelligence ecosystem for AI-human co-creation.
| Package | Description |
|---|---|
@arcanea/core |
Intelligence engine — Guardian routing, voice, design tokens |
@arcanea/cli |
Install Arcanea OS into any AI coding tool |
@arcanea/mcp |
Core MCP server for the Arcanea platform |
arcanea-infogenius |
Visual intelligence MCP server (this package) |
License
MIT
README copy captured when this server was indexed; it may lag the repository. The original is authoritative.