
Mapbox Mcp Devkit Patterns
by mapboxaab3a6fef5c6No license80 starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 7 days ago
Integration patterns for Mapbox MCP DevKit Server in AI coding assistants. Covers setup, style management, token management, validation workflows, and documentation access through MCP. Use when building Mapbox applications with AI coding assistance.
- aab3a6fef5c6Currentcommit aab3a6fPublished Oct 8, 2026
Source and attribution
Source:mapbox/mapbox-agent-skillsinskills/mapbox-mcp-devkit-patternsat commitaab3a6f
License: No license
Content belongs to its original authors. SourceWeft indexes it from a public repository.
More from mapbox/mapbox-agent-skills

Mapbox Web Performance Patterns
mapbox
Guidance for optimizing Mapbox GL JS web map performance, covering loading, rendering, memory and mobile.

Mapbox Style Quality
mapbox
Guides validation, accessibility checking, comparison and optimization of Mapbox styles before production deployment.

Mapbox Location Grounding
mapbox
Guides an AI assistant to answer location questions using live Mapbox MCP tools with citations instead of training data.

Mapbox Ios Patterns
mapbox
Provides official Mapbox Maps SDK v11 integration patterns for iOS apps in Swift, SwiftUI and UIKit.

Mapbox Geospatial Operations
mapbox
Guides an AI assistant in choosing between Mapbox MCP geometric tools and routing APIs for geospatial questions.

Mapbox Flutter Patterns
mapbox
Integration patterns for the Mapbox Maps Flutter SDK on iOS and Android, covering setup, tokens, maps, annotations and GeoJSON.
More in AI & Agents

Skill Development
anthropics
Guides creation of Claude Code plugin skills, covering structure, descriptions, progressive disclosure and validation.

Plugin Structure
anthropics
Guides the structure, manifest, and component layout of Claude Code plugins.

Command Development
anthropics
Guides creation of Claude Code slash commands, covering structure, YAML frontmatter, arguments and plugin features.

Claude Md Improver
anthropics
Audits CLAUDE.md files in a repository, scores their quality, and applies approved targeted improvements.

Google Cloud Solution Agentic Ai Data Science Workflow
Guides design of a multi-product agentic data science architecture on Google Cloud, from requirements to deployment and validation.

Google Cloud Solution Agentic Ai Borderless Data Lakehouse
Guides design of a borderless multicloud open data lakehouse on Google Cloud, from requirements discovery to deployment and validation.