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gods-eye-geospatial-mcp

gods-eye-geospatial-mcp

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github.com/CSOAI-ORGMaps & Travel0Updated 8w ago
Repository

About gods-eye-geospatial-mcp

gods-eye-geospatial-mcp is a geospatial MCP server for AI agents handling situational awareness, environmental compliance, and disaster response. It wraps open geospatial data APIs behind the MEOK Care Membrane ethics gate and states that it is not for kinetic operations.

Key features

  1. 01Access open geospatial data APIs
  2. 02Situational queries
  3. 03Check data provenance
  4. 04Ethics-gated data access

Use cases

  1. 01AI-agent situational awareness
  2. 02Environmental compliance work
  3. 03Disaster response

MCP support

Exposes geospatial data access and query capabilities to MCP clients, including `list_data_sources`, `situational_query`, and `check_data_provenance`.

Configuration

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

mcp.json · Universal config
{
  "mcpServers": {
    "csoai-org-gods-eye-geospatial": {
      "command": "uvx",
      "args": [
        "gods-eye-geospatial-mcp"
      ]
    }
  }
}
Run commanduvx gods-eye-geospatial-mcp

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
pypigods-eye-geospatial-mcp1.2.9

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

MCP Scorecard: 78/100

Gods Eye Geospatial MCP

MEOK AI Labs EU AI Act License PyPI

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

🛡️ 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.

DomainPurpose
councilof.aiEU AI Act compliance marketplace
safetyof.aiAI safety & monitoring
meok.aiSovereign AI platform
cobolbridge.aiLegacy modernization

📜 License

MIT © CSOAI-ORG

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

💸 Try MEOK in 30 seconds — instant buy ladder

TierPriceWhat you getStripe
Smoke test£1Signed sample MCP-Hardening report + Article 50 PDFhttps://buy.stripe.com/aFa7sNcgAdQS0ZT1Uc8k91t
Quick Kit£9EU AI Act Article 50 implementation guide (C2PA + EU-Icon)https://buy.stripe.com/aFa7sNcgAdQS0ZT1Uc8k91t
Founder Call£2930-min 1-on-1 with the founderhttps://buy.stripe.com/aFa7sNcgAdQS0ZT1Uc8k91t

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 …"

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.