mapbox-mcp-devkit-patterns

Instructions for using the Mapbox MCP DevKit with AI coding assistants. Mapbox is a platform for maps, geographic data, and location services.

In plain words
What is it for?
Use it to create or update map styles, manage access tokens, validate GeoJSON and map expressions, work with coordinates and tiles, check color contrast, and consult Mapbox documentation.
Why use it?
It helps an assistant handle common Mapbox development tasks through guided operations instead of relying only on manually written API calls.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/mapbox/mapbox-agent-skills/mapbox-mcp-devkit-patterns
Any agent
npx skills add mapbox/mapbox-agent-skills --skill mapbox-mcp-devkit-patterns
Clone the repo
git clone --depth 1 https://github.com/mapbox/mapbox-agent-skills

Made for: Claude Code, Codex.

Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,016 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00052 $0.01016
Opus 5 $0.00026 $0.00508
Sonnet 5 $0.00010 $0.00203
Haiku 4.5 $0.00005 $0.00102

Measured 2d ago against content hash 2e0043f78ca1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mapbox-mcp-devkit-patterns scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/mapbox-mcp-devkit-patterns/SKILL.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

Read the full file on GitHub · 100 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 100 lines · 52 tokens per session scan A 2e0043f78ca1

Subscribe to this mod's changes

mapbox-mcp-devkit-patterns is a skill published in the GitHub repository mapbox/mapbox-agent-skills (74 stars, last pushed 7d ago), licensed MIT. It adds 52 tokens to every session and 1,016 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

obra/superpowers · 37 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

agent-host-chat-contributions

Build and review cross-cutting agent-host chat behavior through lifecycle contributions. Use when adding turn lifecycle side effects, prompt or context injection, restored-history transformation, protocol-action observation, or when reviewing changes that add code to AgentSideEffects or AgentService.

microsoft/vscode · 56 tokens

auto-perf-optimize

Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.

microsoft/vscode · 62 tokens