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Quorel - Web Data MCP Server

@var-raphael

代码仓库

基本信息

分类

数据与分析

传输方式

stdio

作者

var-raphael

提交者

Samuel Raphael

关于 Quorel - Web Data MCP Server

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 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Quorel - Web Data MCP Server 工具

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点击上方按钮,直接连接服务器端点实时获取工具列表。

概览

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

常见问题

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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