ilo-mcp-server

endpoint

https://ilo.sidneybissoli.com/mcp

protocol

http-sse ·2025-06-18

authentication

none observed

public key

none — nobody has proven they own this listing · is it yours? claim it

karma

0 · newcomer

Is ilo-mcp-server live?

Yes — it answered the hub's last check (checked 6m ago). It answered 98% of checks over the last 30 days.

Is ilo-mcp-server free to use?

Yes — the hub reached it with no key and no payment.

What tools does ilo-mcp-server have?

6 tools: ilo_search_indicators, ilo_list_dimension_values, search, fetch, ilo_get_data, ilo_get_indicator_metadata.

Is ilo-mcp-server safe to connect?

The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

• ilo_search_indicators reads unknown 6m ago

  Search the ILOSTAT catalogue of ~1,200 indicator dataflows by keywords in the name or id (e.g. "unemployment rate sex age"). All terms must match (AND, case-insensitive), so start with 2–3 English words and drop terms if you get 0 results. Everyday and US wording is resolved to the ILO's own (labor→labour, wages/salary→earnings, informality→informal, gender→sex, productivity→output per worker); when that happens the response says so in vocabulary_notes. Results are ranked by ILO relevance weight, not by match count. Reading the id tells you the shape: suffix _RT = rate/ratio, _NB = number (usually thousands); dataflows whose second token starts with 2 (e.g. DF_UNE_2EAP_…) are ILO modelled estimates with full country/year coverage, the others are reported national data. Returns dataflow ids to use with ilo_get_data / ilo_get_indicator_metadata. Searches the local catalogue only — it does not return statistical values (use ilo_get_data), does not search dimension codes such as countries (use ilo_list_dimension_values) and does not cover non-ILO sources.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "query"
    ],
    "properties": {
      "limit": {
        "type": "integer",
        "maximum": 100,
        "minimum": 1,
        "description": "Maximum results (default 20)"
      },
      "query": {
        "type": "string",
        "minLength": 1,
        "description": "Keywords, matched against dataflow name and id (AND between terms)"
      },
      "offset": {
        "type": "integer",
        "maximum": 9007199254740991,
        "minimum": 0,
        "description": "Results to skip, for pagination (default 0)"
      },
      "provenance_mode": {
        "enum": [
          "concise",
          "detailed"
        ],
        "type": "string",
        "description": "Provenance verbosity: 'concise' (default — source, url, vintage, retrieval date, citation, license) or 'detailed' (full canonical block with dataset, dimension key and notices)"
      }
    },
    "additionalProperties": false
  }

  arguments 35 lines copy
• ilo_list_dimension_values reads unknown 6m ago

  Valid codes (id + label) of one dimension of an ILOSTAT dataflow — e.g. the country/area codes of REF_AREA (ISO 3166-1 alpha-3 such as BRA, plus X-codes for aggregates such as X01 World) or the categories of SEX (SEX_T/SEX_M/SEX_F) and AGE. Use `search` to resolve a name to a code (e.g. search "Brazil") instead of paging through hundreds of codes; codelists are shared across dataflows, so a code found here is valid wherever the same codelist is used. Use to build correct ilo_get_data filters. Does not return statistical values, does not say which codes actually have data for a given dataflow, and is not applicable to the time dimension (filter it via start_period/end_period in ilo_get_data).

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "dataflow",
      "dimension"
    ],
    "properties": {
      "limit": {
        "type": "integer",
        "maximum": 500,
        "minimum": 1,
        "description": "Maximum codes returned (default 200)"
      },
      "offset": {
        "type": "integer",
        "maximum": 9007199254740991,
        "minimum": 0,
        "description": "Codes to skip, for pagination (default 0)"
      },
      "search": {
        "type": "string",
        "minLength": 1,
        "description": "Case-insensitive filter on code id or label"
      },
      "dataflow": {
        "type": "string",
        "minLength": 1,
        "description": "Dataflow id the dimension belongs to"
      },
      "dimension": {
        "type": "string",
        "minLength": 1,
        "description": "Dimension id from ilo_get_indicator_metadata (e.g. \"REF_AREA\", \"SEX\")"
      },
      "provenance_mode": {
        "enum": [
          "concise",
          "detailed"
        ],
        "type": "string",
        "description": "Provenance verbosity: 'concise' (default — source, url, vintage, retrieval date, citation, license) or 'detailed' (full canonical block with dataset, dimension key and notices)"
      }
    },
    "additionalProperties": false
  }

  arguments 46 lines copy
• search reads unknown 6m ago

  Searches the ILOSTAT labour statistics (≈1,200 SDMX dataflows: employment, unemployment, wages, working time, informality, SDG labour indicators) catalog and returns up to 10 matching documents as { id, title, url }, ordered by relevance (an empty list means nothing matched). This tool exists for the OpenAI Deep Research contract: ChatGPT deep research, company knowledge and research workflows over the Responses API require exactly the tools `search` and `fetch`. Pass one of the returned ids to `fetch` to read the document. For direct questions and for data (values, series, rankings) prefer the `ilo_*` tools, which return the actual data with provenance — this is a catalog index, not a data query. Query: natural language or keywords, Portuguese or English; accents and case are ignored. Behavior: read-only and idempotent — the catalog comes from the public source and is cached in memory.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "query"
    ],
    "properties": {
      "query": {
        "type": "string",
        "description": "Search terms, natural language or keywords (accents and case are ignored)"
      }
    },
    "additionalProperties": false
  }

  arguments 14 lines copy
• fetch reads unknown 25h ago

  Returns the full document for an id obtained from `search`, as { id, title, text, url, metadata }: `text` is the readable content (Markdown) and `url` the canonical public page to cite. Companion of `search` in the OpenAI Deep Research contract, over the ILOSTAT labour statistics (≈1,200 SDMX dataflows: employment, unemployment, wages, working time, informality, SDG labour indicators) catalog. Only ids returned by `search` are valid; an unknown id returns an error. The `ilo_*` tools remain the tools for data queries. Behavior: read-only and idempotent — a live GET against the public source when the document needs it.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "id"
    ],
    "properties": {
      "id": {
        "type": "string",
        "description": "Identifier of a document returned by `search`"
      }
    },
    "additionalProperties": false
  }

  arguments 14 lines copy
• ilo_get_data reads unknown 25h ago

  Statistical observations from one ILOSTAT dataflow, filtered by dimension codes (filters, e.g. {"REF_AREA": ["BRA","ARG"], "SEX": "SEX_T"}) and period (start_period/end_period, e.g. "2015"/"2024"). REF_AREA is required, maximum 30 areas per call — for broad panels, split areas into batches and/or paginate by period. Unfiltered dimensions return all their categories. Does not aggregate, convert or otherwise transform values (raw ILOSTAT data only): read each value with the unit and multiplier the ILO states in its row attributes (UNIT_MEASURE, UNIT_MULT — e.g. UNIT_MULT 3 = thousands). Read TIME_PERIOD with the FREQ column (annual, quarterly or monthly) and OBS_STATUS when present (break in series, estimated or provisional value). Values are the current release, dated by data_vintage (the dataflow LAST_UPDATE): the ILO revises published figures and re-estimates modelled series (_2 ids) at each release, past years included. Does not search indicators (use ilo_search_indicators).

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "dataflow",
      "filters"
    ],
    "properties": {
      "filters": {
        "type": "object",
        "required": [
          "REF_AREA"
        ],
        "properties": {
          "REF_AREA": {
            "anyOf": [
              {
                "type": "string"
              },
              {
                "type": "array",
                "items": {
                  "type": "string"
                },
                "minItems": 1
              }
            ],
            "description": "Area codes — REQUIRED, at most 30 per call (e.g. [\"BRA\",\"ARG\"]). Without them the ILO gateway times out (HTTP 504). Discover codes with ilo_list_dimension_values (dimension REF_AREA)."
          }
        },
        "description": "Dimension id → code or list of codes (from ilo_list_dimension_values). REF_AREA is required (up to 30 area codes); any other dimension is optional and, left out, returns all of its categories.",
        "additionalProperties": {
          "anyOf": [
            {
              "type": "string"
            },
            {
              "type": "array",
              "items": {
                "type": "string"
              },
              "minItems": 1
            }
          ]
        }
      },
      "dataflow": {
        "type": "string",
        "minLength": 1,
        "description": "Dataflow id from ilo_search_indicators (e.g. \"DF_UNE_DEAP_SEX_AGE_RT\")"
      },
      "end_period": {
        "type": "string",
        "minLength": 1,
        "description": "Last period, e.g. \"2024\""
      },
      "start_period": {
        "type": "string",
        "minLength": 1,
        "description": "First period, e.g. \"2015\""
      },
      "provenance_mode": {
        "enum": [
          "concise",
          "detailed"
        ],
        "type": "string",
        "description": "Provenance verbosity: 'concise' (default — source, url, vintage, retrieval date, citation, license) or 'detailed' (full canonical block with dataset, dimension key and notices)"
      },
      "last_n_observations": {
        "type": "integer",
        "maximum": 100,
        "minimum": 1,
        "description": "Alternative to periods: only the latest N observations per series"
      }
    },
    "additionalProperties": false
  }

  arguments 78 lines copy
• ilo_get_indicator_metadata reads unknown 25h ago

  Structure of one ILOSTAT dataflow: dimensions (in SDMX key order), their codelists, the time dimension, the source's default selection and the data vintage (last update at the ILO). Use before ilo_get_data to know which filters exist. Does not return statistical values and does not list the codes themselves (use ilo_list_dimension_values).

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "dataflow"
    ],
    "properties": {
      "dataflow": {
        "type": "string",
        "minLength": 1,
        "description": "Dataflow id from ilo_search_indicators (e.g. \"DF_UNE_DEAP_SEX_AGE_RT\")"
      },
      "provenance_mode": {
        "enum": [
          "concise",
          "detailed"
        ],
        "type": "string",
        "description": "Provenance verbosity: 'concise' (default — source, url, vintage, retrieval date, citation, license) or 'detailed' (full canonical block with dataset, dimension key and notices)"
      }
    },
    "additionalProperties": false
  }

  arguments 23 lines copy

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