Quorel - Web Data MCP

Name: Quorel - Web Data MCP
Author: var-raphael

@var-raphael

Quorel - Web Data MCP 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

基本情報

カテゴリ

データと分析

トランスポート

stdio

公開者

var-raphael

投稿者

Samuel Raphael

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"
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

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

FAQ from Quorel - Web Data MCP

How does Quorel refresh data?

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

What export formats are supported?

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

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.

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.

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.

「データと分析」の他のコンテンツ

Google Ads MCP

cohnen

An MCP tool that connects Google Ads with Claude AI/Cursor and others, allowing you to analyze your advertising data through natural language conversations. This integration gives you access to campaign information, performance metrics, keyword analytics, and ad management—all th

657