DataScoop public data

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

Should I use this

Quality & Safety

A
Description quality
100%
Schema completeness
87%
Naming quality
100%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~1,112Tokens (tool definitions)
~971 BTypical response size
Moderate attention impact (0.87% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "datascoop": {
      "command": "npx",
      "args": [
        "datascoop-mcp"
      ]
    }
  }
}

Runnable packages

npmdatascoop-mcp1.0.0stdio

Remote endpoints

https://datascoop.io/mcpstreamable-http

What it can do

Tool inventory

Tools (6)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢list_datasets(country)

List 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.

Input Schema

{
  "type": "object",
  "properties": {
    "country": {
      "type": "string",
      "description": "Optional ISO 3166-1 alpha-2 country code to filter by, e.g. GB or US"
    }
  },
  "additionalProperties": false
}
🟢search_datasets(query, country)

Find 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.

Input Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "What the user is looking for, in plain words"
    },
    "country": {
      "type": "string",
      "description": "Optional ISO country code, e.g. GB or US"
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false
}
🟢get_dataset_schema(dataset)

Get 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.

Input Schema

{
  "type": "object",
  "properties": {
    "dataset": {
      "type": "string",
      "description": "Dataset id from list_datasets, e.g. fsa, cqc, charity-commission, us-food-inspections, us-building-permits, fhis-scotland"
    }
  },
  "required": [
    "dataset"
  ],
  "additionalProperties": false
}
🟢query_dataset(dataset, filters, limit, offset, format)

Return 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.

Input Schema

{
  "type": "object",
  "properties": {
    "dataset": {
      "type": "string",
      "description": "Dataset id, e.g. fsa"
    },
    "filters": {
      "type": "object",
      "description": "Filter object keyed by the filter keys from get_dataset_schema (not column names), e.g. {\"localAuthority\":\"Leeds\",\"rating\":\"1\"}. Text filters are case-insensitive; \"contains\" filters match substrings; enum filters must use one of the listed options.",
      "additionalProperties": true
    },
    "limit": {
      "type": "integer",
      "minimum": 0,
      "maximum": 1000,
      "description": "Rows to return (default 25, max 1000 per call; free plans are capped at 25)"
    },
    "offset": {
      "type": "integer",
      "minimum": 0,
      "description": "Rows to skip, for paging through large results (Pro)"
    },
    "format": {
      "type": "string",
      "enum": [
        "rows",
        "summary"
      ],
      "description": "\"rows\" (default) returns the rows; \"summary\" returns only the total and links"
    }
  },
  "required": [
    "dataset"
  ],
  "additionalProperties": false
}
🟢get_area_statistics(dataset, area)

Free 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.

Input Schema

{
  "type": "object",
  "properties": {
    "dataset": {
      "type": "string",
      "description": "Dataset id with statistics, e.g. fsa, fhis-scotland, us-food-inspections, us-building-permits"
    },
    "area": {
      "type": "string",
      "description": "Area name or slug, e.g. \"Leeds\" or \"leeds\". Omit to list areas."
    }
  },
  "required": [
    "dataset"
  ],
  "additionalProperties": false
}
🟢get_access_info

How 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.

Input Schema

{
  "type": "object",
  "additionalProperties": false
}

Community

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Evidence

Recent observations

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