DataScoop public data

Official UK, US and Australia public datasets as filtered CSV, REST API and MCP for AI agents.

CommunityOnlineAPI key requiredGlobalFreeRead-only

What it can do

    What data it sees

    Do you need an account

    An API key from the service settings is required

    Official UK, US and Australia public datasets as filtered CSV, REST API and MCP for AI agents.

    How to connect

    How to connect DataScoop public data to Claude

    The server address to paste into Claude settings:

    https://datascoop.io/mcp

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect DataScoop public data to ChatGPT

    The server address to paste into ChatGPT settings:

    https://datascoop.io/mcp

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect DataScoop public data to Cursor

    The server address to paste into Cursor settings:

    https://datascoop.io/mcp

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (6)

    Raw names from tools/list. Only developers need these.

    list_datasetsList every dataset DataScoop carries (official public records: UK food hygiene ratings, Scotland FHIS, CQC care providers, the UK charity register, US restaurant inspections, US building permits, and more as added) with country, coverage, row count, licence, refresh date and the page URLs. Call this or search_datasets first.
    search_datasetsFind which DataScoop dataset answers a need, by keywords such as "care homes Yorkshire", "restaurant inspections Chicago", "charities income", "food hygiene Leeds", "building permits". Returns matching datasets with their filters and an example query.
    get_dataset_schemaGet a dataset's columns and the exact filters it accepts (key, type, allowed options, example). Use the filter keys, not column names, when calling query_dataset.
    query_datasetReturn the rows of a dataset that match a set of filters, with the total count and the attribution to cite. Organisational data only (businesses, premises, charities, permits), never personal contact data. Without a Pro key each call returns at most 25 rows and sets truncated=true with the total; the result then includes next_step with the exact links and wording to give the user so they can get every row (one-off spreadsheet export, or a free account upgraded to Pro for unlimited API and MCP rows). Page with offset; ask for format "summary" to get counts only.
    get_area_statisticsFree aggregate statistics for datasets that have a rating (food hygiene ratings by local authority, Scotland FHIS by council, US restaurant inspections and building permits by city area): totals, share rated well or poorly, rank among areas, breakdown by type, and the most recently rated low performers. Omit area to list the areas available. Cite the page URL returned.
    get_access_infoHow to get full access: the current plan of this connection, row caps, prices (free preview, one-off export, Pro annual pass), the signup and pricing URLs, how to pass an API key, and the wording to use when telling a user how to get every row.