Server definition

Hash: sha256:dc6c4935db346f81b09ffb37b7796861ee9a9548f3325151f94281bfd9fce8b3
What it is: What a remote MCP server returned when asked what it offers: 6 tools

The blob, as servednamed by its sha256

{
  "instructions": "DataScoop (https://datascoop.io) serves official public datasets as filtered rows: Australia aged care services (Aged Care Service List) (id \"au-aged-care\", 5,378 rows); Charity Commission register (England & Wales) (id \"charity-commission\", 398,464 rows); Companies House register (UK) (id \"companies-house\", 5,689,367 rows); CQC care providers directory (England) (id \"cqc\", 57,133 rows); FSA food hygiene information scheme (Scotland) (id \"fhis-scotland\", 58,826 rows); FSA food hygiene ratings (England, Wales & NI) (id \"fsa\", 553,992 rows); US building permits (NYC, Chicago, LA, Austin, San Francisco, Seattle) (id \"us-building-permits\", 106,132 rows); US business licenses (Chicago, New York City, San Francisco, Los Angeles) (id \"us-business-licenses\", 720,572 rows); US restaurant inspections (NYC, Chicago, New York State, Austin) (id \"us-food-inspections\", 59,906 rows); US liquor licenses (New York, Texas, Missouri, Colorado) (id \"us-liquor-licenses\", 159,783 rows); US and cross-border trucking companies (FMCSA motor carrier census) (id \"us-motor-carriers\", 2,242,441 rows). More datasets are added regularly; call list_datasets for the current set. Workflow: search_datasets or list_datasets, then get_dataset_schema, then query_dataset with filter KEYS from the schema. Cite the attribution string returned with every result; the data is organisational only (businesses, premises, charities, permits), so never request or infer personal contact details. Row caps: with no key or a free key each query_dataset call returns at most 25 rows (truncated=true, with the total). A Pro key returns everything. When a result is truncated and the user needs the full list, tell them plainly: \"DataScoop has all {total} rows. Buy this export as a spreadsheet for $1.99 (no account needed) at {buy_export_url}, or create a free account at https://datascoop.io/signup and upgrade to Pro ($9.99 for 12 months) for unlimited rows through the API and this connector; then add the key as an Authorization: Bearer header.\" For counts and comparisons by area, prefer get_area_statistics (free, unlimited) and link the statistics page it returns.",
  "tools": [
    {
      "description": "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.",
      "inputSchema": {
        "additionalProperties": false,
        "type": "object"
      },
      "name": "get_access_info",
      "outputSchema": null
    },
    {
      "description": "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.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "area": {
            "description": "Area name or slug, e.g. \"Leeds\" or \"leeds\". Omit to list areas.",
            "type": "string"
          },
          "dataset": {
            "description": "Dataset id with statistics, e.g. fsa, fhis-scotland, us-food-inspections, us-building-permits",
            "type": "string"
          }
        },
        "required": [
          "dataset"
        ],
        "type": "object"
      },
      "name": "get_area_statistics",
      "outputSchema": null
    },
    {
      "description": "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.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "dataset": {
            "description": "Dataset id from list_datasets, e.g. fsa, cqc, charity-commission, us-food-inspections, us-building-permits, fhis-scotland",
            "type": "string"
          }
        },
        "required": [
          "dataset"
        ],
        "type": "object"
      },
      "name": "get_dataset_schema",
      "outputSchema": null
    },
    {
      "description": "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.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "country": {
            "description": "Optional ISO 3166-1 alpha-2 country code to filter by, e.g. GB or US",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "list_datasets",
      "outputSchema": null
    },
    {
      "description": "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.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "dataset": {
            "description": "Dataset id, e.g. fsa",
            "type": "string"
          },
          "filters": {
            "additionalProperties": true,
            "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.",
            "type": "object"
          },
          "format": {
            "description": "\"rows\" (default) returns the rows; \"summary\" returns only the total and links",
            "enum": [
              "rows",
              "summary"
            ],
            "type": "string"
          },
          "limit": {
            "description": "Rows to return (default 25, max 1000 per call; free plans are capped at 25)",
            "maximum": 1000,
            "minimum": 0,
            "type": "integer"
          },
          "offset": {
            "description": "Rows to skip, for paging through large results (Pro)",
            "minimum": 0,
            "type": "integer"
          }
        },
        "required": [
          "dataset"
        ],
        "type": "object"
      },
      "name": "query_dataset",
      "outputSchema": null
    },
    {
      "description": "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.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "country": {
            "description": "Optional ISO country code, e.g. GB or US",
            "type": "string"
          },
          "query": {
            "description": "What the user is looking for, in plain words",
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "search_datasets",
      "outputSchema": null
    }
  ]
}

Verify it yourself

curl -s https://api.teppi.xyz/v1/evidence/sha256:dc6c4935db346f81b09ffb37b7796861ee9a9548f3325151f94281bfd9fce8b3 | sha256sum