get_data

Active

declared in 0.1.0

Pull observations from a UNICEF dataset. `key` is a dot-separated SDMX dimension filter, one position per dimension in the order given by dataflow_structure; leave a position empty to wildcard it. Call dataflow_structure first to learn the dimension order and valid codes. Example: get_data({ dataflow_id: "CME", key: ".CME_MRY0T4.." }) filters by INDICATOR=CME_MRY0T4 (under-five mortality rate) and wildcards REF_AREA/SEX/WEALTH_QUINTILE. Omit `key` (or pass "") to fetch all series — can be large. Returns decoded series with their dimension labels and per-period values.

Parameters schema

{
  "type": "object",
  "required": [
    "dataflow_id"
  ],
  "properties": {
    "key": {
      "type": "string",
      "description": "Dot-separated dimension filter (one position per dimension, empty = wildcard), e.g. \".CME_MRY0T4..\". Omit for all series."
    },
    "last_n": {
      "type": "number",
      "description": "Return only the last N observations per series."
    },
    "end_period": {
      "type": "string",
      "description": "End period, e.g. \"2022\"."
    },
    "max_series": {
      "type": "number",
      "description": "Cap the number of decoded series returned (default 200)."
    },
    "dataflow_id": {
      "type": "string",
      "description": "UNICEF dataflow id, e.g. \"CME\". The agency,flow,version reference is built automatically."
    },
    "start_period": {
      "type": "string",
      "description": "Start period, e.g. \"2010\"."
    }
  }
}

What this tool wraps· 0 endpoints

min confidence0.70 0.50

No endpoints wrapped at confidence ≥ 0.50.

Parent server

Unicef

https://github.com/pipeworx-io/mcp-unicef

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