mapbox-mcp-runtime-patterns

Integrates Mapbox MCP Server for geospatial calculations, route optimization, and POI searches.

Updated Mar 29, 2026
One-click install
npx skills add https://github.com/Ylopo/Shana-Gates --skill mapbox-mcp-runtime-patterns
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mapbox-mcp-runtime-patterns
Source: https://github.com/Ylopo/Shana-Gates/tree/main/.agents/skills/mapbox-mcp-runtime-patterns
Command: npx skills add https://github.com/Ylopo/Shana-Gates --skill mapbox-mcp-runtime-patterns

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @mapbox/mcp-server, and includes scripts (resource) and references (resource) and examples (resource) components.

What problem does it solve?

This Skill provides integration patterns for the Mapbox MCP Server in AI applications, enabling geospatial capabilities without manual API integration.

Core Features & Use Cases

  • Geospatial Tools Access: Access a suite of geospatial tools via the Mapbox MCP Server, including offline calculations and Mapbox APIs.
  • AI Agent Integration: Integrate with popular AI frameworks like pydantic-ai, mastra, LangChain, and custom agents for runtime geospatial processing.
  • Use Cases: Real estate, food delivery, travel planning, route optimization, and more.

Quick Start

To use the mapbox-mcp-runtime-patterns skill, first set your Mapbox Access Token in the environment variables. Then, you can use the skill to find directions from one location to another using the following command: use mapbox-mcp-runtime-patterns get-directions --origin {origin_coordinates} --destination {destination_coordinates}

Frequently Asked Questions about mapbox-mcp-runtime-patterns

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I integrate Mapbox geospatial tools into my AI application?

To integrate Mapbox geospatial tools into your AI application, use this Skill to connect the Mapbox MCP Server, which provides access to isochrones, directions, and category search without manual API integration.

Does the Mapbox MCP Server work with AI frameworks like LangChain and pydantic-ai?

Yes, the Mapbox MCP Server works with AI frameworks like LangChain, pydantic-ai, and mastra, providing runtime geospatial processing patterns for custom agents.

What prerequisites do I need to use Mapbox MCP for route optimization?

To use Mapbox MCP for route optimization, you need a Mapbox MCP Server connection, a configured Mapbox Access Token in your environment variables, and access to geospatial tools like directions.

How do I find directions between two locations using the Mapbox MCP Server?

To find directions using the Mapbox MCP Server, set your Mapbox Access Token and run the skill's get-directions command with your specified origin and destination coordinates.

What use cases are supported by Mapbox geospatial integration for AI agents?

Mapbox geospatial integration for AI agents supports use cases including real estate analysis, food delivery, travel planning, route optimization, and POI searches using offline calculations and Mapbox APIs.

Are there limitations when using Mapbox MCP Server patterns for offline geospatial calculations?

The Mapbox MCP Server handles offline calculations, but accessing full capabilities like isochrones and POI searches requires an active Mapbox MCP Server connection and a valid Mapbox Access Token.