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Geolocation Ai automation via MCP. Includes geolocate ip, calculate distance, parse coordinates. By MEOK AI Labs.

Project description

Geolocation Ai MCP

MCP server for geolocation ai mcp operations

PyPI License: MIT MEOK AI Labs

Overview

Geolocation Ai MCP provides AI-powered tools via the Model Context Protocol (MCP).

Tools

Tool Description
geolocate_ip Get approximate location from IP address.
calculate_distance Calculate distance between two coordinates using Haversine formula.
parse_coordinates Parse location string into lat/lon coordinates.
timezone_from_coords Determine timezone from coordinates using brute-force offset matching.
ip_to_coordinates Convert IP address to approximate coordinates without full geolocation.

Installation

pip install meok-geolocation-ai-mcp

Usage with Claude Desktop

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

{
  "mcpServers": {
    "geolocation-ai-mcp": {
      "command": "python",
      "args": ["-m", "meok_geolocation_ai_mcp.server"]
    }
  }
}

Usage with FastMCP

from mcp.server.fastmcp import FastMCP

# This server exposes 5 tool(s) via MCP
# See server.py for full implementation

License

MIT © MEOK AI Labs


Pairs with MEOK Governance Suite

Build something that touches users? You need compliance. MEOK ships 38 governance MCPs that drop in alongside this tool — EU AI Act, DORA, NIS2, CRA, GDPR, ISO 42001, FDA SaMD, MDR, Basel, MiFID II, MiCA, COPPA, and more.

# One-shot install of the governance pack
npx meok-setup --pack governance

Free tier: 10 calls/day per MCP. Pro tier (£79/mo): unlimited + cryptographically signed compliance attestations your auditor verifies independently.

→ Full catalogue: councilof.ai/catalogue → MEOK AI Labs: meok.ai

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