Quorel - Web Data MCP

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

@var-raphael

关于 Quorel - Web Data MCP

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

基本信息

分类

数据与分析

传输方式

stdio

发布者

var-raphael

提交者

Samuel Raphael

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"
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

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

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.

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