Quorel

io.github.var-raphael由 GitHub 账号 var-raphael 发布v1.0.0更新于 Nov 2, 2026

Turn any public website into a clean, versioned, queryable API — with native MCP support.

已验证SSE可网页运行数据库网页搜索与抓取数据与分析

概览

AI 生成的概览

Quorel 把公开网站变成可版本化、可查询的数据集，并给助手一个 MCP 工具来查询、对比和修正这些数据。

可以做什么
  • 按筛选、排序、关键词搜索、字段选择、去重和抽样查询数据集中的记录
  • 对比不同版本，查看相较早前刷新新增、删除或变更了哪些内容
  • 修正错误行，并把修改发布为新的、可回滚的版本
  • 无需账号即可读取公开数据集，私有数据集需使用 Bearer 令牌
适用场景
适合助手需要来自网站的实时结构化数据、又不想自己写爬虫的场景，也适合需要追踪数据随时间变化的用途，例如价格历史、招聘信息或房源。
运行要求
远程 SSE 端点，无需本地安装包。公开数据集无需账号；私有数据集和 MCP 访问需要 Quorel 账户生成的 Bearer 令牌，通过 Authorization 请求头发送。免费账户（无需信用卡）可建一个数据集、最多 20 个网址，付费方案提高上限。
安装前请注意
Authorization 中的 Bearer 令牌是机密，可访问你的私有数据集。助手可以写入数据：它做的修正会作为新版本发布，使用前应核对。数据集通过抓取第三方网站生成，服务会存储并提供这些提取内容。付费方案需要付费。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Quorel，将其添加到工作区。
  2. 连接 Authorization token 凭据。它们会被私密存储，绝不会在公开页面上展示。
  3. 为需要使用其工具的对话启用该服务。

Web executable，通过 SSE。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体，或 SourceWeft 对话中。智能体会读取该服务器的安装指南，先向你展示发布者、端点和登录方式，经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.var-raphael%2Fquorel/install.md，并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前，先告诉我它的发布者、端点和登录方式，等我确认。不要把 API 密钥写进命令或我会提交的文件；问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "quorel": {
      "type": "sse",
      "url": "https://quorel.onrender.com/mcp/sse",
      "headers": {
        "Authorization": "Bearer <YOUR_TOKEN>"
      }
    }
  }
}

README

Quorel

Give your AI agent a live, versioned view of any website.

Note: this codebase was originally built and named Vexaro, before the product was renamed to Quorel. The code, commit history, and package names in this repo still reflect the original name. A rename pass is planned. This repo is public, you're looking at the real, current implementation right now: github.com/var-raphael/vexaro. The live product, docs, and public API are already fully rebranded as Quorel: quorel.vercel.app

Describe the fields you want, in plain English. Quorel extracts them nightly, keeps every past version permanently queryable, and hands your AI agent an MCP tool that can read, query, and even fix the data directly, without you writing a scraper.

Live and public beta: quorel.vercel.app Docs: quorel.vercel.app/docs/quickstart

What it does

Most data tools hand you today's snapshot and move on. Quorel keeps every past version, permanently queryable, so you can see what changed and when, not just what's true right now.

  • Plain-English schema definition. Describe the fields you want (title (string), the title of the article) and Quorel figures out extraction.
  • Nightly refresh, versioned. Every refresh is a saved, diffable version. Compare any two versions side by side, roll back in one click, or freeze a version so it can't change again.
  • Fork any public dataset. Start from someone else's dataset the way you'd fork a repo.
  • MCP on every plan, including Free. Claude or any MCP-compatible agent can query a dataset, ask what changed since last week, and even fix bad rows itself, publishing the correction as a new, reversible version.
  • No scraper maintenance. Extraction adapts when the underlying page layout changes, instead of silently breaking.

Try it with zero setup

Public datasets need no account, no API key. Just a GET request:

GET https://quorel.vercel.app/api/1/hacker-news-top/active/    ?format=json    &limit=5    &sort=score:desc
json
[  {    "title": "Show HN: I built a source of truth for the web",    "score": 412,    "comments": 187,    "url": "https://news.ycombinator.com/item?id=..."  }]

Browse all public datasets in the marketplace, swap the slug, and query any of them the same way.

API URL structure

https://quorel.vercel.app/api/{dataset_id}/{name-slug}/{version}/
PartMeaning
dataset_idThe numeric ID of the dataset
name-slugThe dataset name, lowercased and hyphenated
versionactive (pinned version), latest, or v1, v2, v3, etc.

Query parameters

Every endpoint accepts the same set of parameters, stack as many as you need:

ParameterDefaultDescription
formatjsonOutput format: json, jsonl, csv, tsv, xml, parquet
limitallMax number of entities to return
offset0Skip the first N entities
sortnoneSort by a field, e.g. sort=score:desc
keywordsnoneFull-text search across all fields, comma-separated for OR
keywords_modeorUse and for AND search across keywords
filternoneExact match on a field, e.g. filter=category:finance. Repeatable
filter_containsnonePartial match on a field. Repeatable
keep_fieldnoneReturn only these fields (dot-notation supported)
drop_fieldnoneRemove these fields from the response
dedupfalseRemove duplicate entities. Use dedup_key=field1,field2 to dedup on specific fields
denullfalseStrip null and empty string values recursively
flattenfalseFlatten nested objects into dot-notation keys (auto-applied for csv, tsv, parquet)
samplenoneReturn N randomly sampled entities
countfalseReturn only the count of matched entities
altfalseReturn the alt version of the dataset, if one exists
include_sourcetrueInclude the _source field (origin URL of each entity)
prettytruePretty-print JSON output

Rate limits

AccessLimit
Public (no auth)100 requests/minute, per IP
Private (Bearer token)300 requests/minute, per IP

Rate limit headers are included in every response: X-RateLimit-Limit, X-RateLimit-Remaining, X-RateLimit-Reset.

Creating your own dataset

Free account, no credit card required. One dataset, up to 20 URLs.

  1. Sign up at quorel.vercel.app/auth
  2. Paste URLs or describe your intent. Import URLs directly, or describe what you want in plain English and Quorel discovers sources via web search.
  3. Define your schema. Tell Quorel which fields you want and what they mean, e.g. score (number), the upvote count.
  4. Wait for processing. Quorel crawls your URLs, runs AI extraction against your schema, and versions the result.
  5. Hit your endpoint. Query it exactly like the public example above, using your dataset ID and slug from the dashboard.

Accessing a private dataset

GET https://quorel.vercel.app/api/42/my-dataset/active/Authorization: Bearer your_private_key

Find your private key in your dataset's dashboard page.

MCP: letting an agent work the data directly

Every dataset ships with an MCP server, on every plan, including Free. Claude or any MCP-compatible agent can filter it, sort it, ask what changed, and even fix bad rows itself.

Inside a Claude chat:
> what changed on job-board-listings this week→ queried v14 vs v9, 23 postings added, 8 removed
> fix the missing salary fields and publish v15→ reviewed 200 rows, filled 14 fields from listing text→ live at /job-board-listings/v15

Agent-made changes land in the same versioned, reversible system as anything done by hand, nothing is silently overwritten. Full details: quorel.vercel.app/docs/mcp

Versioning and rollback

  • See exactly what changed. Compare any two versions side by side: added rows, removed rows, changed values.
  • Roll back in one click. A bad refresh pulled in dirty data? Revert instantly, or freeze a version so it can't change again.
  • Fork any public dataset. Start from someone else's dataset the way you'd fork a repo, add your own fields, publish your own copy.

Full details: quorel.vercel.app/docs/versioning

Pricing

FreePro ($19/mo)Scale
Datasets15Unlimited
URLs per dataset20100500
RefreshNightlyOn-demand via ping URLCustom schedules
Version history & rollback✅✅✅
MCP access✅✅✅
SupportCommunityEmailDedicated

Scale is coming soon, join the waitlist.

What people build with it

  • Competitor pricing history, every price change tracked, not just today's number
  • Job market monitoring, postings, salaries, and what got taken down
  • Real estate over time, status changes, price drops, days on market, versioned
  • Live context for AI agents, Claude checking what changed on a site since last week
  • A data backend for apps, query params in, structured API out, no scraping infra to own

Docs

About this repo

This is the working codebase for Quorel, built and maintained solo. It was originally developed under the name Vexaro; the product was later renamed to Quorel, and that rename is reflected across the live product, docs, and public-facing brand. A full rename pass across this codebase (package names, internal references) is planned.

The code is open here: github.com/var-raphael/vexaro. Issues, questions, and contributions are welcome.

Live product: quorel.vercel.app Contact: [email protected]

来源：README.md，提交 42dffe1

工具

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版本历史

1
  1. v1.0.0最新Sep 16, 2026

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