MCP.Market

Scrapiq MCP server

online · 100% uptime
by scrapiq.io·io.scrapiq/scrapiq·v0.2.0

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

A91/100grade A
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Safety scan
A91/100

full report

Adoption
Growing

0 stars

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Scrapiq tools (1)

write = sends, deletes, buys or posts
  • scrapiq_extractFree

    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.

Public scan report

scanner v0.1.10 · 2026-10-02 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 1317ms20/20
  • Tool poisoning1 tool descriptions checked15/15
  • Auth qualityopen endpoint, read-only tools10/15
  • Maintenancelast push 12 days ago15/15
  • Maintainer identityendpoint served from the registry-verified namespace domain8/10
Overall 91/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Scrapiq compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
91/100
higher than 88% of 4,460 AI and agents servers
Tools
1
the typical AI and agents server has 6
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
Uptime
100%
of our recent checks; the typical remote AI and agents server answers 100%
Response time
91 ms
faster than 88% of 2,331 AI and agents servers

What its tools let an agent do: 1 read

Install Scrapiq in Claude Code, Cursor or VS Code

claude mcp add --transport http scrapiq https://scrapiq.io/mcp
Add to Cursor

What the publisher says

From the Scrapiq repository's README, as published. We do not edit it. Read it on GitHub

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, no pip packages, no nodemodules. Two transports: stdio for local clients, streamable HTTP** for remote clients.

Use the hosted server (no install)

The server is listed in the official MCP Registry as io.scrapiq/scrapiq and runs at:

https://scrapiq.io/mcp

No key, no install — add that URL as a remote MCP server in any client that supports streamable HTTP:

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

Install locally

Not on PyPI yet, so install straight from this repo:

# run it without installing anything (run against `main`, 2026-09-17)
uvx --from git+https://github.com/NG-PR0JECT/scrapiq-mcp-server scrapiq-mcp

# or install it into an isolated environment
pipx install git+https://github.com/NG-PR0JECT/scrapiq-mcp-server

Requires a running Scrapiq instance (see Scrapiq README — git clone, pip install -e ".[dev]", then scrapiq). Point the server at it:

SCRAPIQ_ENDPOINT=http://localhost:8001/v1/extract scrapiq-mcp

Run your own HTTP endpoint

scrapiq-mcp --http --host 127.0.0.1 --port 8002   # serves POST /mcp

Stateless: one POST /mcp per JSON-RPC message (or batch), replies with application/json. It issues no Mcp-Session-Id and offers no server→client SSE stream, so GET /mcp answers 405 by design. CORS is open, so browser-based clients (e.g. MCP Inspector) can call it directly.

Usage with Claude Desktop

Add to claudedesktopconfig.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 extract
  • format (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-mcp

License

MIT

Nothing above is checked by us. What we check is on the safety report.

Scrapiq: common questions

Is Scrapiq MCP server safe?
Yes, by our scan: it is graded A (91/100). Read the Scrapiq safety report
How do I install Scrapiq?
It runs remotely at scrapiq.io. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Scrapiq need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Scrapiq maintained?
The last commit was 44 days ago (2026-09-21). The latest release is v0.2.0.
Is Scrapiq up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of Scrapiq?
Servers from other publishers that do the same job: DataSinking MCP server, Basic Memory MCP server and PaperBanana MCP server.
How does Scrapiq compare with other AI and agents MCP servers?
safety score 91/100 (higher than 88% of 4,460 AI and agents servers); tools 1 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Scrapiq

Same job from other publishers: the closest match first, then the best rated.

  • DataSinking
    Full-text financial reports (US, China, Japan, Korea, Taiwan, UK) as clean Markdown for RAG agents.
    A
  • Basic Memory
    Local-first knowledge management with bi-directional LLM sync via Markdown files.
    B
  • PaperBanana
    Generate academic diagrams and statistical plots from text using multi-agent AI.
    A
  • IWE (iwe.md)
    Markdown knowledge base as agent memory. Runs against the notes directory it is started in.
    A
  • Local Rag
    Easy-to-setup local RAG server with minimal configuration
    A