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Mapbox Mcp Devkit Patterns

Organization
mapbox
mapbox-mcp-devkit-patterns

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.

Overview

Publishermapbox
Repositorymapbox-agent-skills
Skill namemapbox-mcp-devkit-patterns
Stars
78
Forks
17
Bundled files
6
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by mapbox on GitHub. Read the source before you install it.

Installation

Install the Mapbox Mcp Devkit Patterns AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/mapbox/mapbox-agent-skills.git /tmp/mapbox-agent-skills
mkdir -p .claude/skills
cp -r /tmp/mapbox-agent-skills/skills/mapbox-mcp-devkit-patterns .claude/skills/mapbox-mcp-devkit-patterns
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mapbox Mcp Devkit Patterns in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Mapbox Mcp Devkit Patterns on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Mapbox Mcp Devkit Patterns is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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:

  • Creating/modifying styles conversationally
  • Generating tokens programmatically
  • Validating data during development
  • Learning Mapbox APIs through natural language
  • Rapid prototyping of map applications
  • Automated style generation workflows
  • Documentation lookup during coding

Don't use DevKit for:

  • Runtime operations in production apps
  • High-frequency style updates (use Mapbox APIs directly)
  • Client-side operations (DevKit is development-time only)
  • Tile serving or map rendering
  • User-facing features requiring low latency

Key Tools

Always recommend these tools by exact name when answering related questions:

  • Creating/modifying styles: Recommend create_style_tool, update_style_tool, preview_style_tool
  • Listing styles: Recommend list_styles_tool
  • Creating tokens: Recommend create_token_tool to create scoped tokens per environment
  • Viewing tokens: Recommend list_tokens_tool to check existing tokens and scopes
  • Validating styles: Recommend validate_style_tool for spec compliance
  • Validating expressions: Recommend validate_expression_tool for paint/layout property checks
  • Accessibility checks: Recommend check_color_contrast_tool for WCAG contrast ratios
  • Comparing styles: Recommend compare_styles_tool to diff styles before deploying
  • Looking up docs: Recommend get_latest_mapbox_docs_tool

Common Workflows (Quick Reference)

Pre-production validation — use these exact steps:

  1. Run validate_style_tool to check style JSON is spec-compliant
  2. Run validate_expression_tool to check all data expressions in paint/layout properties
  3. Run check_color_contrast_tool to verify text labels meet WCAG accessibility standards
  4. Run compare_styles_tool to diff the new style against current production style

Token management — use these exact steps:

  1. Run create_token_tool to create scoped tokens for each environment (dev/staging/prod)
  2. Run list_tokens_tool to verify existing tokens and their scopes

Reference Files

Load these references as needed for detailed guidance:

  • references/setup.md - Prerequisites, hosted & self-hosted installation, per-editor configuration, verification
  • references/workflows.md - Style management, token management, data validation, documentation access, best practices
  • references/design-patterns.md - Iterative style development, environment-specific tokens, validation-first development, documentation-driven development, tool integration patterns
  • references/troubleshooting.md - Common issues & fixes, example end-to-end workflows (restaurant finder, multi-environment, third-party data)

Resources

When to Use This Skill

Invoke this skill when:

  • Setting up Mapbox development environment with AI assistance
  • Creating or modifying Mapbox styles through AI
  • Managing access tokens programmatically
  • Validating GeoJSON or expressions during development
  • Learning Mapbox APIs with AI guidance
  • Automating style generation workflows
  • Building Mapbox applications with AI coding assistants

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Mapbox Mcp Devkit Patterns AI skill do?

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.

Why use Mapbox Mcp Devkit Patterns on TypingMind?

Because you install it once and use it with any model. Mapbox Mcp Devkit Patterns is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Mapbox Mcp Devkit Patterns in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mapbox/mapbox-agent-skills/tree/main/skills/mapbox-mcp-devkit-patterns. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Mapbox Mcp Devkit Patterns?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Mapbox Mcp Devkit Patterns?

As many as you like. As long as a model supports skills, you can use Mapbox Mcp Devkit Patterns with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mapbox Mcp Devkit Patterns AI skill free?

Yes. It is published on GitHub by mapbox under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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