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browserless

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mcp-browserless

Browserless MCP — wraps the Browserless headless-Chromium REST API (browserless.io)

Part of Pipeworx — an MCP gateway connecting AI agents to 1573+ live data sources.

Tools

Tool

Description

browserless_content

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_scrape

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_screenshot

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_scrape

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({ url: "https://example.com", formats: ["markdown", "links"], _apiKey: "your-token" })

Related MCP server: Percepta MCP Server

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "browserless": {
      "url": "https://gateway.pipeworx.io/browserless/mcp"
    }
  }
}

What this endpoint actually serves

tools/list at https://gateway.pipeworx.io/browserless/mcp returns the tools in the table above plus the shared Pipeworx meta-tools — ask_pipeworx, discover_tools, search_within, remember/recall and the rest of the gateway-wide set. So the tool count you see is larger than this table: a single-pack endpoint currently lists roughly 30 shared tools alongside the pack's own. The connection's initialize response states its exact scope, and is the authoritative answer for a given day.

This is deliberate, not multiplexing by accident. The meta-tools are what let a scoped connection answer a question this pack does not cover — via ask_pipeworx, which routes across the whole catalog — without you adding a second MCP server. There is currently no way to mount a pack endpoint without them; if the extra schemas cost you more context than the routing is worth, connect to the full gateway once rather than to several pack endpoints.

Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://gateway.pipeworx.io/mcp"
    }
  }
}

Both URLs reach the same gateway and the same 1573+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.

Standalone (no gateway account)

This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:

{
  "mcpServers": {
    "browserless": {
      "command": "npx",
      "args": ["-y", "@pipeworx/mcp-browserless"]
    }
  }
}

Or run it directly to confirm it starts:

npx -y @pipeworx/mcp-browserless

It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call for only this pack's tools — none of the shared meta-tools the gateway connection above adds. Same source, same tools, no ask_pipeworx routing.

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:

ask_pipeworx({ question: "your question about Browserless data" })

The gateway picks the right tool and fills the arguments automatically.

More

License

MIT

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources

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