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Chrome Devtools

OrganizationPopular
ChromeDevTools
chrome-devtools

Uses Chrome DevTools via MCP for efficient debugging, troubleshooting and browser automation. Use when debugging web pages, automating browser interactions, analyzing performance, or inspecting network requests. This skill does not apply to `--slim` mode (MCP configuration).

Overview

PublisherChromeDevTools
Repositorychrome-devtools-mcp
Skill namechrome-devtools
Stars
52.3K
Forks
4.2K
Bundled files
Instructions only
LicenseApache-2.0
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Chrome Devtools 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/ChromeDevTools/chrome-devtools-mcp.git /tmp/chrome-devtools-mcp
mkdir -p .claude/skills
cp -r /tmp/chrome-devtools-mcp/skills/chrome-devtools .claude/skills/chrome-devtools
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Chrome Devtools 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 Chrome Devtools 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 Chrome Devtools 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.

Core Concepts

Browser lifecycle: Browser starts automatically on first tool call using a persistent Chrome profile. Configure via CLI args in the MCP server configuration: npx chrome-devtools-mcp@latest --help. Addional tooling can be enabled by providing the following flags:

  • For extension tooling, use the --categoryExtensions flag.
  • For memory tooling, use the --memoryDebugging flag.

Page targeting: Page-scoped tools require a pageId parameter to target a specific page. Use list_pages to see available pages and their IDs (e.g. pageId: 1), or use the ID returned when creating a page with new_page. Note: For evaluate_script, pageId is required when targeting pages. However, when --categoryExtensions is enabled, pageId is optional so you can pass serviceWorkerId instead to evaluate inside an extension background service worker. Element interaction: Use take_snapshot to get page structure with element uids. Each element has a unique uid for interaction. If an element isn't found, take a fresh snapshot - the element may have been removed or the page changed.

Workflow Patterns

Before interacting with a page

  1. Navigate: navigate_page or new_page
  2. Wait: wait_for to ensure content is loaded if you know what you look for.
  3. Snapshot: take_snapshot with pageId to understand page structure
  4. Interact: Use element uids from snapshot for click, fill, etc., passing the corresponding pageId.

Efficient data retrieval

  • Use filePath parameter for large outputs (screenshots, snapshots, traces)
  • Use pagination (pageIdx, pageSize) and filtering (types) to minimize data
  • Set includeSnapshot: false on input actions unless you need updated page state

Tool selection

  • Automation/interaction: take_snapshot (text-based, faster, better for automation)
  • Visual inspection: take_screenshot (when user needs to see visual state)
  • CSS & Styling inspection: Use get_css_styles to inspect matched rules, cascade, and CSS variables.
  • Additional details: Use evaluate_script for final resolved values (getComputedStyle) or runtime DOM/JS data not in the accessibility tree.

Parallel execution

You can send multiple tool calls in parallel, but maintain correct order: navigate → wait → snapshot → interact.

Testing an extension

Before proceeding: Extension tools (install_extension, list_extensions, etc.) are only available when the MCP server is started with the --categoryExtensions flag. If these tools are not in your tool list, stop and ask the user to update their MCP server configuration:

json
{
  "mcpServers": {
    "chrome-devtools": {
      "command": "npx",
      "args": ["chrome-devtools-mcp@latest", "--categoryExtensions"]
    }
  }
}

After updating, the user must restart the MCP server (or their AI client) for the change to take effect.

  1. Install: Use install_extension with the path to the unpacked extension.
  2. Identify: Get the extension ID from the response or by calling list_extensions.
  3. Trigger Action: Use trigger_extension_action to open the popup or side panel if applicable.
  4. Verify Service Worker: Use evaluate_script with serviceWorkerId (omitting pageId and args) to check extension state or trigger background actions. When evaluating in a page, pass pageId (omitting serviceWorkerId).
  5. Verify Page Behavior: Navigate to a page where the extension operates and use take_snapshot to check if content scripts injected elements or modified the page correctly.

Troubleshooting

If chrome-devtools-mcp is insufficient, guide users to use Chrome DevTools UI:

If there are errors launching chrome-devtools-mcp or Chrome, refer to https://github.com/ChromeDevTools/chrome-devtools-mcp/blob/main/docs/troubleshooting.md.

Frequently asked questions

What does the Chrome Devtools AI skill do?

Uses Chrome DevTools via MCP for efficient debugging, troubleshooting and browser automation. Use when debugging web pages, automating browser interactions, analyzing performance, or inspecting network requests. This skill does not apply to `--slim` mode (MCP configuration).

Why use Chrome Devtools on TypingMind?

Because you install it once and use it with any model. Chrome Devtools 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 Chrome Devtools in TypingMind?

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

Which AI models can use Chrome Devtools?

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 Chrome Devtools?

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

Is the Chrome Devtools AI skill free?

Yes. It is published on GitHub by ChromeDevTools under the Apache-2.0 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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