MCP server

Scrapingant

io.github.pipeworx-io/scrapingant

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

ScrapingAnt MCP — wraps the ScrapingAnt web scraping API (scrapingant.com)

Website Source

At a glance

Type

MCP server

Publisher

pipeworx.io (verified by the MCP Registry)

Status

Working at last check

Tools

45

Token cost

About 27,535 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

Add to CursorAdd to VS CodeVS Code Insiders

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 scrapingant https://gateway.pipeworx.io/scrapingant/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.scrapingant]
url = "https://gateway.pipeworx.io/scrapingant/mcp"

Gemini CLI

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

Cursor

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

VS Code

{"servers":{"scrapingant":{"type":"http","url":"https://gateway.pipeworx.io/scrapingant/mcp"}}}

Antigravity

agy mcp add scrapingant https://gateway.pipeworx.io/scrapingant/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":"scrapingant","server_url":"https://gateway.pipeworx.io/scrapingant/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"scrapingant","server_url":"https://gateway.pipeworx.io/scrapingant/mcp"}

Tools

• scrapingant_extract ~449 tokens
  Extract structured data from a web page using ScrapingAnt AI extraction. Describe the fields you want in `extract_properties` (comma-separated) and get back a JSON object with matching camelCase keys. Example: scrapingant_extract({ url: "https://example.com/product", extract_properties: "product tit
• scrapingant_markdown ~301 tokens
  Fetch a web page and return clean, LLM-ready Markdown (boilerplate stripped) via ScrapingAnt. Ideal for feeding page content to a model. Example: scrapingant_markdown({ url: "https://example.com/article", _apiKey: "your-key" })
• scrapingant_scrape Browses the web · ~482 tokens
  Scrape a web page and return its raw HTML via ScrapingAnt (headless-browser rendering + rotating proxies). Handles JS-heavy sites and anti-bot pages. Example: scrapingant_scrape({ url: "https://example.com", browser: true, _apiKey: "your-key" })

Browse

• GitHub tools
• Web scraping
• Website monitoring
• Converting to Markdown
• GitHub and code hosting

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