MCP server
Browserless
io.github.pipeworx-io/browserless
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Browserless MCP — wraps the Browserless headless-Chromium REST API (browserless.io)
Working at last checkOfficial: pipeworx.io's GitHub account (pipeworx-io)About 27,633 tokens per request once connected46 tools
https://gateway.pipeworx.io/browserless/mcp
At a glance
- Type
- MCP server
- Publisher
- pipeworx.io (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 46
- Token cost
- About 27,633 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http browserless https://gateway.pipeworx.io/browserless/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.browserless] url = "https://gateway.pipeworx.io/browserless/mcp"
Gemini CLI
{"mcpServers":{"browserless":{"httpUrl":"https://gateway.pipeworx.io/browserless/mcp"}}}
Cursor
{"mcpServers":{"browserless":{"url":"https://gateway.pipeworx.io/browserless/mcp"}}}
VS Code
{"servers":{"browserless":{"type":"http","url":"https://gateway.pipeworx.io/browserless/mcp"}}}
Antigravity
agy mcp add browserless https://gateway.pipeworx.io/browserless/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"browserless","server_url":"https://gateway.pipeworx.io/browserless/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"browserless","server_url":"https://gateway.pipeworx.io/browserless/mcp"}
Tools
browserless_content~295 tokens
Render a URL in headless Chromium and return the fully-executed HTML (after JavaScript runs) — use this when a plain fetch returns an empty shell or JS-rendered SPA. Example: browserless_content({ url: "https://example.com", _apiKey: "your-token" })browserless_scrapeBrowses the web · ~366 tokens
Extract structured data from a rendered page using CSS selectors. Returns text, inner HTML, attributes and geometry for every matched element. Example: browserless_scrape({ url: "https://news.ycombinator.com", elements: [{ selector: ".titleline a" }], _apiKey: "your-token" })browserless_screenshotBrowses the web · ~290 tokens
Capture a screenshot of a rendered page. Returns the image byte-length and metadata only (the binary PNG is NOT inlined). Example: browserless_screenshot({ url: "https://example.com", fullPage: true, _apiKey: "your-token" })browserless_smart_scrapeBrowses the web · ~379 tokens
AI-assisted extraction: tries a plain HTTP fetch first and falls back to a full headless browser, returning content in the requested formats (html, markdown, links, screenshot, pdf). Best when you just want clean page content and do not know the right selectors. Example: browserless_smart_scrape({ u
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