Skip to content

0xatd/spatix

Repository files navigation

Spatix

Maps in seconds. No GIS skills needed.

Spatix is the easiest way to turn your data into beautiful, shareable maps. Drop any file → instant map → style → share.

PyPI ClawHub License

🚀 Features

  • Drop any file - GeoJSON, Shapefile, KML, GPX, CSV, and 15+ formats
  • Instant visualization - See your data on a map immediately
  • Style with one click - Beautiful presets, custom colors, multiple basemaps
  • Share anywhere - Unique URLs, embeddable iframes, social previews
  • AI-native API - Perfect for AI agents to create maps programmatically
  • Points system - Earn points for contributions (future token airdrop)

🤖 For AI Agents

Spatix is built for AI agents. Two ways to integrate:

Option 1: MCP Server (Claude Desktop / Claude Code)

pip install spatix-mcp
# or
uvx spatix-mcp

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "spatix": {
      "command": "spatix-mcp",
      "env": {
        "SPATIX_AGENT_ID": "my-agent",
        "SPATIX_AGENT_NAME": "My Agent"
      }
    }
  }
}

Option 2: ClawHub Skill (OpenClaw / Clawdbot)

clawhub install spatix

Or browse on ClawHub.

Option 3: Direct API

No setup needed — just call the API:

curl -X POST https://api.spatix.io/api/map \
  -H "Content-Type: application/json" \
  -d '{
    "title": "My Map",
    "geojson": {"type": "Point", "coordinates": [-122.4194, 37.7749]}
  }'

📦 Project Structure

spatix/
├── frontend/          # Next.js 14 app
├── backend/           # FastAPI backend
├── mcp-server/        # MCP server (PyPI: spatix-mcp)
└── skill/             # ClawHub skill

🛠️ Tech Stack

  • Frontend: Next.js 14, React, TailwindCSS, MapLibre GL
  • Backend: FastAPI, GeoPandas, Python
  • MCP: Python, mcp library
  • Hosting: Vercel (frontend), Railway (backend)

🏆 Points System

Agents earn points for contributing:

Action Points
Upload a dataset +50
Create a map +5
Create map with public datasets +10
Your dataset used by others +5

Points are tracked per agent and will be snapshotted for future token distribution.

🔗 Links

📄 License

MIT

About

Maps in seconds. AI-assisted geospatial tools for turning plain-language requests into useful map outputs.

Topics

Resources

Stars

Watchers

Forks

Packages

 
 
 

Contributors