UNESCO UIS — Education, Science & Culture Statistics (provenance-first)

UNESCO UIS statistics (education, science, culture) with full provenance and fixed releases.

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质量与安全性

A
描述质量
100%
模式完整度
98%
命名质量
88%
投毒风险
100%
权限匹配度
100%
协议合规性
100%

基于对工具定义和协议合规性的自动分析。

上下文开销

~2,701token 数(工具定义)
~4.0 KB典型响应大小
对注意力有显著影响(占 128k 上下文窗口的 2.11%)

这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高,可用于其他任务的注意力就越少。

安装

一键安装

将以下内容添加到你的 `claude_desktop_config.json` 文件中:

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

可运行的软件包

npmuis-mcp-server1.1.0stdio

远程端点

https://uis.sidneybissoli.com/mcpstreamable-http

它能做什么

工具清单

工具(5)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟢uis_search_indicators(query, theme, limit, offset, provenance_mode)

Search the UNESCO Institute for Statistics catalogue of ~5,000 indicators — education, science/R&D, culture and communication — by keywords in the name or code, optionally filtered by theme. All terms must match (AND, case-insensitive), so start with 2–3 words and drop terms if you get 0 results. Everyday and US wording is resolved to the UIS's own (enrollment→enrolment, spending→expenditure, preschool→pre-primary, university→tertiary, graduation→completion, girls/boys→female/male); when that happens the response says so in vocabulary_notes. Returns indicator codes to use with uis_get_data, plus each indicator's data availability (years, record count). Searches the catalogue only — it does not return statistical values (use uis_get_data); ILO labour statistics live in the sibling ILOSTAT MCP server.

输入模式

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

输出模式

{
  "type": "object",
  "properties": {
    "total_matches": {
      "type": "number"
    },
    "showing": {
      "type": "number"
    },
    "offset": {
      "type": "number"
    },
    "has_more": {
      "type": "boolean"
    },
    "next_offset": {
      "type": "number"
    },
    "vocabulary_notes": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "hint": {
      "type": "string"
    },
    "indicators": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "code": {
            "type": "string"
          },
          "name": {
            "type": "string"
          },
          "theme": {
            "type": "string"
          },
          "last_data_update": {
            "type": [
              "string",
              "null"
            ]
          },
          "records": {
            "type": [
              "number",
              "null"
            ]
          },
          "years": {
            "type": [
              "string",
              "null"
            ]
          },
          "geo_types": {
            "type": [
              "string",
              "null"
            ]
          }
        },
        "required": [
          "code",
          "name",
          "theme",
          "last_data_update",
          "records",
          "years",
          "geo_types"
        ],
        "additionalProperties": false
      }
    },
    "provenance": {},
    "attribution": {
      "type": "array",
      "items": {
        "type": "string"
      }
    }
  },
  "required": [
    "total_matches",
    "showing",
    "offset",
    "has_more",
    "indicators",
    "provenance",
    "attribution"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": {}
}
🟢uis_list_geo_units(search, type, limit, offset, provenance_mode)

Valid geographic codes for uis_get_data: 462 geo units — countries (NATIONAL, ISO alpha-3 codes like BRA) and regional aggregates (REGIONAL). Filter by name/code and type. Does not return statistical values; these codes apply only to uis_get_data, not to other statistical servers.

输入模式

{
  "type": "object",
  "properties": {
    "search": {
      "description": "Case-insensitive filter on name, or exact code (e.g. \"BRA\")",
      "type": "string",
      "minLength": 1
    },
    "type": {
      "description": "Only countries (NATIONAL) or only regional aggregates",
      "type": "string",
      "enum": [
        "NATIONAL",
        "REGIONAL"
      ]
    },
    "limit": {
      "description": "Maximum results (default 100)",
      "type": "integer",
      "minimum": 1,
      "maximum": 500
    },
    "offset": {
      "description": "Results to skip, for pagination (default 0)",
      "type": "integer",
      "minimum": 0,
      "maximum": 9007199254740991
    },
    "provenance_mode": {
      "description": "Provenance verbosity: 'concise' (default — source, url, vintage, retrieval date, citation, license) or 'detailed' (full canonical block with dataset, dimension key and notices)",
      "type": "string",
      "enum": [
        "concise",
        "detailed"
      ]
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "properties": {
    "total_matches": {
      "type": "number"
    },
    "showing": {
      "type": "number"
    },
    "offset": {
      "type": "number"
    },
    "has_more": {
      "type": "boolean"
    },
    "next_offset": {
      "type": "number"
    },
    "geo_units": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string"
          },
          "name": {
            "type": "string"
          },
          "type": {
            "type": "string"
          }
        },
        "required": [
          "id",
          "name",
          "type"
        ],
        "additionalProperties": false
      }
    },
    "provenance": {},
    "attribution": {
      "type": "array",
      "items": {
        "type": "string"
      }
    }
  },
  "required": [
    "total_matches",
    "showing",
    "offset",
    "has_more",
    "geo_units",
    "provenance",
    "attribution"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": {}
}
🟢uis_get_data(indicators, geo_units, start_year, end_year, include_footnotes, ...)

Statistical records from the UNESCO Institute for Statistics Data API, filtered by indicator codes (from uis_search_indicators, up to 25), geo unit codes (from uis_list_geo_units) and year range. Set include_footnotes for per-record source notes. Returns raw UIS records only — it does not aggregate, convert or otherwise transform values; ILO labour statistics live in the sibling ILOSTAT MCP server. Broad queries are rejected with the record count — narrow by geo unit or years. A code that does not exist is an error carrying the UIS API's own wording, never an empty result: zero rows means the codes are real and the selection has no data, and the hint then relays what the UIS reported (including the indicator's available year range). When only SOME of the requested codes exist, the matching rows are returned with `warnings` naming the rest.

输入模式

{
  "type": "object",
  "properties": {
    "indicators": {
      "minItems": 1,
      "maxItems": 25,
      "type": "array",
      "items": {
        "type": "string",
        "minLength": 1
      },
      "description": "Indicator codes from uis_search_indicators (e.g. [\"CR.1\"])"
    },
    "geo_units": {
      "description": "Geo unit codes from uis_list_geo_units (e.g. [\"BRA\",\"ARG\"]); omit for all",
      "minItems": 1,
      "type": "array",
      "items": {
        "type": "string",
        "minLength": 1
      }
    },
    "start_year": {
      "description": "First year, e.g. 2015",
      "type": "integer",
      "minimum": 1900,
      "maximum": 2100
    },
    "end_year": {
      "description": "Last year, e.g. 2024",
      "type": "integer",
      "minimum": 1900,
      "maximum": 2100
    },
    "include_footnotes": {
      "description": "Include per-record footnotes (source notes); default false",
      "type": "boolean"
    },
    "provenance_mode": {
      "description": "Provenance verbosity: 'concise' (default — source, url, vintage, retrieval date, citation, license) or 'detailed' (full canonical block with dataset, dimension key and notices)",
      "type": "string",
      "enum": [
        "concise",
        "detailed"
      ]
    }
  },
  "required": [
    "indicators"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "properties": {
    "columns": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "rows_count": {
      "type": "number"
    },
    "rows": {
      "type": "array",
      "items": {
        "type": "object",
        "propertyNames": {
          "type": "string"
        },
        "additionalProperties": {}
      }
    },
    "provenance": {},
    "attribution": {
      "type": "array",
      "items": {
        "type": "string"
      }
    }
  },
  "required": [
    "columns",
    "rows_count",
    "rows",
    "provenance",
    "attribution"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": {}
}
🟢search(query)

Searches the UNESCO UIS statistics (≈5,000 indicators: education — enrolment, completion, literacy, teachers, spending, SDG 4 —, science/R&D (SDG 9.5), culture (SDG 11.4) and demographic context) 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 `uis_*` 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.

输入模式

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

输出模式

{
  "type": "object",
  "properties": {
    "results": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string",
            "minLength": 1,
            "description": "Unique identifier of the document on this server; what `fetch` takes"
          },
          "title": {
            "type": "string",
            "description": "Human-readable title of the document"
          },
          "url": {
            "type": "string",
            "description": "Canonical public URL of the document — ChatGPT's citation depends on it"
          }
        },
        "required": [
          "id",
          "title",
          "url"
        ],
        "additionalProperties": false
      },
      "description": "Matching documents, in relevance order"
    },
    "provenance": {},
    "attribution": {
      "type": "array",
      "items": {
        "type": "string"
      }
    }
  },
  "required": [
    "results",
    "provenance",
    "attribution"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}
🟢fetch(id)

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 UNESCO UIS statistics (≈5,000 indicators: education — enrolment, completion, literacy, teachers, spending, SDG 4 —, science/R&D (SDG 9.5), culture (SDG 11.4) and demographic context) catalog. Only ids returned by `search` are valid; an unknown id returns an error. The `uis_*` tools remain the tools for data queries. Behavior: read-only and idempotent — a live GET against the public source when the document needs it.

输入模式

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

输出模式

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string",
      "minLength": 1,
      "description": "Unique identifier of the document on this server; what `fetch` takes"
    },
    "title": {
      "type": "string",
      "description": "Human-readable title of the document"
    },
    "text": {
      "type": "string",
      "description": "Full readable content of the document (Markdown)"
    },
    "url": {
      "type": "string",
      "description": "Canonical public URL of the document — ChatGPT's citation depends on it"
    },
    "metadata": {
      "description": "Additional key/value pairs about the document (kind, source, period…)",
      "type": "object",
      "propertyNames": {
        "type": "string"
      },
      "additionalProperties": {}
    },
    "provenance": {},
    "attribution": {
      "type": "array",
      "items": {
        "type": "string"
      }
    }
  },
  "required": [
    "id",
    "title",
    "text",
    "url",
    "provenance",
    "attribution"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

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