
Mapbox Mcp Devkit Patterns
This wraps the Mapbox MCP DevKit Server so you can manipulate Mapbox styles, tokens, and validation directly through your AI coding assistant. You get tools for creating and updating styles conversationally, generating scoped tokens per environment, and running pre-deployment checks like expression validation and WCAG contrast testing. The real win is iterative style development without context switching to the Mapbox Studio UI. Just remember this is development time tooling, not something you'd wire into production runtime code. The skill includes detailed workflow guides for common scenarios like multi-environment token management and validation-first development patterns.
- skills.sh installs
- 1.6K
- GitHub stars
- 86
- last updated
- Aug 21, 2026
Install
$ npx -y skills add mapbox/mapbox-agent-skills --skill mapbox-mcp-devkit-patterns --agent claude-codeInstalls into .claude/skills of the current project.
Files
Mapbox MCP DevKit Patterns
This skill provides patterns for integrating the Mapbox MCP DevKit Server into AI coding workflows to accelerate Mapbox application development.
What is Mapbox MCP DevKit?
The Mapbox MCP DevKit Server is a Model Context Protocol (MCP) server that gives AI assistants direct access to Mapbox developer APIs:
- Style management - Create, list, update, delete, preview, validate, compare, and optimize styles
- Token management - Generate and list access tokens with scopes
- Validation - Validate GeoJSON, expressions, styles, and coordinates
- Geographic utilities - Calculate bounding boxes, convert coordinates, query tiles
- Color tools - Check WCAG contrast ratios for accessibility
- Feedback - Access user feedback and reports
- Documentation - Access latest Mapbox docs and references
Key benefit: Build Mapbox applications faster by letting AI handle developer API operations.
When to Use MCP DevKit
Use DevKit when:
Sponsors
Details
- Repository
- github.com/mapbox/mapbox-agent-skills
- Categories
- Backend & APIs, Documentation, Code Review & Quality, AI & Agent Building
- First seen
- Jun 3, 2026
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