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Quorel - Web Data MCP Server

@var-raphael

リポジトリ

基本情報

カテゴリ

データと分析

トランスポート

stdio

作者

var-raphael

投稿者

Samuel Raphael

Quorel - Web Data MCP Server について

Quorel turns any public website into a versioned, queryable API. Define a schema once in plain English, and Quorel extracts, structures, and refreshes the data nightly, full version history, diffs, and rollback included. The MCP server lets Claude or any agent browse datasets, qu

#web-scraping#data-api#structured-data#versioning#data-pipeline#ai-agents

Quorel - Web Data MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "quorel": {
      "url": "https://quorel.onrender.com/mcp/<YOUR_TOKEN>/sse",
      "transport": "sse"
    }
  }
}

Quorel - Web Data MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンでサーバーのエンドポイントに接続し、ツール一覧を取得できます。

概要

What is Quorel - Web Data MCP?

Quorel - Web Data MCP turns any public website into a clean, versioned, queryable API. You define the data you want in plain English, and Quorel fetches it, structures it against your schema, and refreshes it automatically every night. Every Quorel dataset ships with a native MCP server included on every plan, so Claude or any MCP-compatible agent can browse, filter, clean, and edit your data conversationally.

How to use Quorel - Web Data MCP?

Use an MCP-compatible agent (e.g., Claude) and invoke the provided MCP tools. Key tools include list_datasets, get_dataset_schema, query_dataset, pull_for_edit, update_entity, delete_entity, push_alt_version, and append_alt_version. No scraping scripts or manual cleaning are needed — all interactions happen via natural language or structured queries.

Key features of Quorel - Web Data MCP

  • Schema-first extraction — describe fields in plain English
  • Nightly automatic refresh plus on-demand ping URL
  • Immutable version history with diff viewer and rollback
  • Export to JSON, JSONL, CSV, TSV, XML, or Parquet
  • Webhook notifications on dataset refresh completion
  • Clone and extend any public marketplace dataset

Use cases of Quorel - Web Data MCP

  • Monitor job listings with automatic nightly updates and conversational filtering
  • Extract, clean, and version product catalog data from e‑commerce sites
  • Build a personal knowledge base from public web sources without writing scrapers
  • Enable an AI agent to browse, deduplicate, and correct web data via MCP tools
  • Export cleaned datasets in multiple formats for analytics or downstream systems

よくある質問

1

How does Quorel refresh data?

Datasets refresh automatically every night. You can also trigger an on‑demand refresh via a dedicated ping URL.

2

What export formats are supported?

You can export to JSON, JSONL, CSV, TSV, XML, or Parquet.

3

Can I edit or clean the data once fetched?

Yes. Use `pull_for_edit` to retrieve the full entity list, then `update_entity` or `delete_entity` to modify it. Final changes are published with `push_alt_version`, creating an immutable alt version with full history and rollback support.

4

What are the system requirements?

You need an MCP‑compatible host (e.g., Claude Desktop). No additional dependencies, scrapers, or cleaning scripts are required — Quorel manages everything server‑side.

5

Where is the data stored?

Data lives on Quorel’s cloud platform. Each dataset has immutable version history, and you can view diffs or roll back changes with one click.

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