Gods Eye Geospatial MCP

Gods Eye Geospatial MCP

Gods Eye — sovereign geospatial awareness MCP

Gods Eye — sovereign geospatial awareness MCP. Wraps open, non-US-dependent APIs (ESA Copernicus Sentinel-1/2/3/5p, OpenStreetMap, Overture, Ordnance Survey UK, INSPIRE EU, DEFRA) behind the MEOK Care Membrane ethics gate. For AI-agent situational awareness, environmental compliance, disaster response. Not for kinetic operations. By MEOK AI Labs.

🚀 Quick Start

# Install via pip
pip install gods_eye_geospatial_mcp

# Or install via Smithery
npx -y @smithery/cli@latest install gods-eye-geospatial-mcp --client claude

✨ Features

• MCP protocol compliant
• Easy installation
• Well-documented API
• Production-ready
• Active maintenance

📖 Documentation

• Full Documentation
• API Reference
• EU AI Act Compliance Guide

🛡️ Compliance

This MCP server is built with EU AI Act compliance built-in:

• ✅ Article 9 — Risk Management System
• ✅ Article 13 — Transparency & Instructions for Use
• ✅ Article 15 — Bias Detection & Testing
• ✅ Article 26 — FRIA Support (where applicable)
• ✅ Article 50 — AI Content Watermarking (where applicable)

Need help getting compliant? Book a free 15-min diagnostic →

🏢 Enterprise

Need custom development, SLA guarantees, or white-label deployment?

• Pro: $99/mo — Full MCP suite + EU AI Act tracking
• Enterprise: $499/mo — Custom dev + SLA + Dedicated support

View Pricing → | Contact Sales →

🤝 Part of the MEOK Ecosystem

This server is part of the MEOK AI Labs ecosystem — 300+ MCP servers for sovereign AI governance.

📜 License

MIT © CSOAI-ORG

_{Built with 💜 by MEOK AI Labs · UK Companies House 16939677}

💸 Try MEOK in 30 seconds — instant buy ladder

Refundable. UK Stripe — VAT-clean. Builds on the 81-MCP MEOK fleet.Verify any signed report at https://meok.ai/verify.

Configuration

Add to your claude_desktop_config.json (Claude Desktop) or your MCP client config:

{
  "mcpServers": {
    "gods-eye-geospatial-mcp": {
      "command": "uvx",
      "args": ["gods-eye-geospatial-mcp"]
    }
  }
}

Or: pip install gods-eye-geospatial-mcp then run the gods-eye-geospatial-mcp command (stdio transport).

Examples

Once configured, ask your assistant, for example:

• "Use list_data_sources to …"
• "Use situational_query to …"
• "Use check_data_provenance to …"