MCP server

Scrapiq Official

io.scrapiq/scrapiq

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

Any URL to clean text, markdown, or JSON for LLM/RAG pipelines.

Website Source

At a glance

Type

MCP server

Publisher

scrapiq.io (verified by the MCP Registry)

Status

Working at last check

Tools

1

Token cost

About 162 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 scrapiq https://scrapiq.io/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.scrapiq]
url = "https://scrapiq.io/mcp"

Gemini CLI

{"mcpServers":{"scrapiq":{"httpUrl":"https://scrapiq.io/mcp"}}}

Cursor

{"mcpServers":{"scrapiq":{"url":"https://scrapiq.io/mcp"}}}

VS Code

{"servers":{"scrapiq":{"type":"http","url":"https://scrapiq.io/mcp"}}}

Antigravity

agy mcp add scrapiq https://scrapiq.io/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":"scrapiq","server_url":"https://scrapiq.io/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"scrapiq","server_url":"https://scrapiq.io/mcp"}

Tools

• scrapiq_extract ~162 tokens
  Extract a web page into clean, structured content for LLM/RAG pipelines via the Scrapiq API. Strips boilerplate, navigation, ads, and scripts. Returns title, content, links, and metadata.

Browse

• Converting to Markdown
• Searching your documents (RAG)
• Calling other AI models

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