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Quorel - Web Data MCP

创建者
Raphaela month ago
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, query/filter/sort them, and even clean or fix entities directly via pull_for_edit and push_alt_version.
内容

Quorel — The source of truth for the live web

Quorel turns any public website into a clean, versioned, queryable API. Define what data you want once in plain English, and Quorel fetches it, structures it against your schema, and refreshes it automatically every night. No scrapers to maintain, no cleaning scripts, no dirty surprises.

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 — without you writing a single script.

Features

  • Schema-first extraction — describe the fields you want in plain English, Quorel maps web content to them precisely
  • Nightly automatic refresh, plus on-demand refresh via a dedicated ping URL
  • Immutable version history with full diff viewer and one-click rollback
  • Export to JSON, JSONL, CSV, TSV, XML, or Parquet
  • Webhook notifications when a dataset finishes refreshing
  • Clone and extend any public dataset from the marketplace

MCP Tools

ToolWhat it does
list_datasetsList all datasets owned by the authenticated user
get_dataset_schemaInspect a dataset's fields and version metadata
query_datasetFilter, sort, dedupe, and paginate entities; export in any format
get_entityFetch a single entity by index
pull_for_editPull the full entity list for agent-driven cleanup
update_entityPatch a single entity's fields in the alt version
delete_entityRemove one or more entities from the alt version
push_alt_versionPublish a cleaned/processed batch as the alt version
append_alt_versionAppend a processed batch to an existing alt version

Example

query_dataset(dataset_id: 142, keywords: "senior remote", sort: "salary:desc", limit: 5)
→ 47 entities matched, returned as JSON sorted by salary

pull_for_edit(dataset_id: 142, use_alt: false)
→ Claude reviews 1,204 entities, dedupes and fixes null fields

push_alt_version(dataset_id: 142, version: 3, entities: [...])
→ live at /remote-jobs/v3/alt

Links

服务器配置

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