Webmcp Gen logo

Webmcp Gen

OrganizationPopular
browserbase
webmcp-gen

Create, compile, and validate site-specific WebMCP init scripts from a target URL and desired tool capability. Use when the user wants to author WebMCP tools for a website, produce a webmcp.init.js artifact, or test WebMCP registration and invocation through Stagehand.

Overview

Publisherbrowserbase
Repositoryskills
Skill namewebmcp-gen
Stars
3.7K
Forks
241
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 browserbase on GitHub. Read the source before you install it.

Installation

Install the Webmcp Gen 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/browserbase/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/webmcp-gen .claude/skills/webmcp-gen
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Webmcp Gen 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 Webmcp Gen 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 Webmcp Gen 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.

WebMCP Gen

Author website-specific WebMCP tools by writing a manifest, compiling it to an init script, and validating that Chrome registers and invokes the tools.

This skill does not call a nested agent. You are responsible for exploring the page, writing manifest.json, and iterating based on validation output.

Setup check

From the skill directory, install dependencies if they are not already installed:

bash
cd skills/webmcp-gen
pnpm install

This installs the pinned Stagehand package plus the TypeScript toolchain (tsx, typescript, @types/node) used to run the generated stagehand-example.ts.

Workflow

  1. Pick an artifact slug with exactly one slash:
text
<domain>/<task>

Example:

text
example.com/page-context
  1. Scaffold the artifact:
bash
node scripts/scaffold.mjs example.com/page-context --url https://example.com
  1. Explore the target page with the browse CLI:
bash
browse open https://example.com --local
browse snapshot
browse get title
browse get url
browse get text body
browse get html body

Prefer browse snapshot, page text, and DOM inspection over screenshots unless visual layout matters. Use browse stop when exploration is complete.

  1. Edit artifacts/<domain>/<task>/manifest.json. The manifest is the source of truth.

  2. Compile:

bash
node scripts/compile.mjs artifacts/example.com/page-context
  1. Generate a runnable Stagehand example (stagehand-example.ts) and run it with tsx:
bash
node scripts/generate-stagehand-example.mjs artifacts/example.com/page-context
npx tsx artifacts/example.com/page-context/stagehand-example.ts
  1. Validate:
bash
node scripts/validate.mjs artifacts/example.com/page-context
  1. If validation fails, inspect eval.json and eval-report.md, patch manifest.json, then compile and validate again.

Manifest contract

json
{
  "domain": "example.com",
  "task": "page-context",
  "url": "https://example.com",
  "generatedAt": "2026-06-04T00:00:00.000Z",
  "tools": [
    {
      "name": "example_com_page_context",
      "description": "Returns page context.",
      "inputSchema": {
        "type": "object",
        "properties": {},
        "required": []
      },
      "implementation": {
        "kind": "dom",
        "source": "return { success: true, title: document.title, url: location.href };"
      },
      "fixtureInput": {}
    }
  ]
}

Authoring rules

  • implementation.source is inserted inside async (input) => { ... }; write JavaScript statements, not a full function wrapper.
  • Return a JSON-serializable object.
  • WebMCP code runs inside the browser page. Use browser-native APIs: document, location, navigator, and same-origin fetch.
  • Do not use Playwright, Puppeteer, Stagehand, XPath helpers, or agent/browser commands inside implementation.source.
  • document.querySelector and querySelectorAll must receive valid browser CSS selectors only.
  • To find visible text, use Array.from(document.querySelectorAll(...)).find((el) => (el.textContent || "").includes("...")).
  • Do not include API keys, bearer tokens, cookies, localStorage secrets, or user credentials.
  • Do not use eval or new Function.
  • Avoid destructive actions unless the user explicitly asked for them.
  • Make implementations defensive: check for missing elements and return structured { success: false, error: "..." } responses.
  • Generated init scripts register WebMCP tools only in the top frame.

Output layout

text
artifacts/<domain>/<task>/
  manifest.json
  webmcp.init.js
  stagehand-example.ts
  eval.json
  eval-report.md

To turn the example into a standalone project, scaffold a Stagehand app with npx create-browser-app and drop the generated webmcp.init.js into it (load it with page.addInitScript({ path: "webmcp.init.js" })).

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 Webmcp Gen AI skill do?

Create, compile, and validate site-specific WebMCP init scripts from a target URL and desired tool capability. Use when the user wants to author WebMCP tools for a website, produce a webmcp.init.js artifact, or test WebMCP registration and invocation through Stagehand.

Why use Webmcp Gen on TypingMind?

Because you install it once and use it with any model. Webmcp Gen 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 Webmcp Gen in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/browserbase/skills/tree/main/skills/webmcp-gen. 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 Webmcp Gen?

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 Webmcp Gen?

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

Is the Webmcp Gen AI skill free?

Yes. It is published on GitHub by browserbase 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇