Scrapiq MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Scrapiq MCP ServerExtract clean text from https://en.wikipedia.org/wiki/Web_scraping"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Scrapiq MCP Server
MCP server for Scrapiq — turn any URL into clean text, markdown, or JSON for LLM/RAG pipelines, directly from your MCP client.
Scrapiq is a lightweight open-source HTTP API that fetches a web page and returns clean content — boilerplate stripped. This server exposes it as a Model Context Protocol (MCP) tool so Claude Desktop, Cursor, and any MCP client can extract clean web content with one call.
Dependency-free: pure Python stdlib, JSON-RPC 2.0 over stdio. No pip packages, no node_modules.
Install
pip install scrapiq-mcp-serverRequires a running Scrapiq instance (see Scrapiq README — one Docker command). Point the server at it:
SCRAPIQ_ENDPOINT=http://localhost:8001/v1/extract scrapiq-mcpRelated MCP server: interdeep
Usage with Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"scrapiq": {
"command": "scrapiq-mcp",
"env": { "SCRAPIQ_ENDPOINT": "http://localhost:8001/v1/extract" }
}
}
}Tool
scrapiq_extract
Extract a web page into clean structured content.
Arguments:
url(string, required) — the URL to extractformat(string, optional) —"markdown"(default) |"text"|"json"max_chars(integer, optional) — truncate content to N chars
Example:
scrapiq_extract(url="https://en.wikipedia.org/wiki/Retrieval-augmented_generation", format="markdown")Returns title, content, links, and metadata — no ads, no nav, no scripts.
Test the server
printf '%s\n' \
'{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05"}}' \
'{"jsonrpc":"2.0","id":2,"method":"tools/list"}' \
'{"jsonrpc":"2.0","id":3,"method":"tools/call","params":{"name":"scrapiq_extract","arguments":{"url":"https://example.com","format":"text"}}}' \
| scrapiq-mcpLicense
MIT
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