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UNESCO UIS Education Statistics MCP

作者:SidneyBissoli版本 1.9.0i★ –i电脑或云端
注册名称io.github.SidneyBissoli/uis-mcp-server

安装

概览

作者提供的说明(英文原文)

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

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

  • 在云端运行无需安装任何东西,通过互联网连接
  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://uis.sidneybissoli.com/mcp

或者在你的电脑上运行

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

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

在终端中运行这条命令

claude mcp add --transport http uis https://uis.sidneybissoli.com/mcp

或者在你的电脑上运行

claude mcp add uis -- npx -y uis-mcp-server

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "uis": {
      "url": "https://uis.sidneybissoli.com/mcp"
    }
  }
}

或者在你的电脑上运行

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

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

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "uis": {
      "type": "http",
      "url": "https://uis.sidneybissoli.com/mcp"
    }
  }
}

或者在你的电脑上运行

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "uis": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "uis-mcp-server"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://uis.sidneybissoli.com/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

工具名称和描述与服务器在 2026年11月7日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。

  • uis_search_indicators

    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 y

  • uis_list_geo_units

    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

  • uis_get_data

    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

  • search

    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 re

  • fetch

    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

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 SidneyBissoli 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • ✓ 通过

    端点有响应

    在 155 毫秒内响应(HTTP 200)

  • – 不适用

    使用 OAuth 登录

    无需登录

  • ✓ 通过

    工具描述中没有隐藏指令

    已读取 5 个工具描述,未发现针对 AI 的隐藏指令

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32712 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32712 个服务器的 77% 更新
  • 基础检查结果等于或优于此分类中其他 32712 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

UNESCO UIS Education Statistics MCP 安全吗?

它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

两种方式都可以:安装在你的电脑上,或者连接云端版本。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.9.0)于10天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Aiterm MCP

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211前天更新
安装

Aiterm MCP

作者:kitepon

Persistent terminals and one launcher for Claude, Codex, Grok, Cursor, and Antigravity harnesses.

在你的电脑上运行今天更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

UNESCO UIS Education Statistics MCP Server

🇧🇷 Leia em Português

A public, hosted, provenance-first MCP server for the statistics of the UNESCO Institute for Statistics (UIS) — education, science and R&D, culture and communication — no installation, no account, no API key. Point your MCP client at the hosted endpoint and ask about enrolment, completion, out-of-school children, literacy, education spending, researchers and R&D expenditure by country, region and year. It runs on Cloudflare Workers over Streamable HTTP and talks to the official UIS Data API.

Independent project. This is an unofficial, community-built client of the UIS's public

Data API — not affiliated with or endorsed by UNESCO or the UNESCO Institute for Statistics.

Data remain © UNESCO-UIS under CC BY-SA 4.0; see Data license and attribution.

Every response carries a provenance block (source URL, the UIS data release it came from, real retrieval timestamp, license, UIS citation) — exact figures with an audit trail, not numbers guessed from training data.

🇧🇷 Em português. Servidor MCP remoto e hospedado (nada para instalar, sem conta e sem

chave) para as estatísticas do Instituto de Estatística da UNESCO — matrícula, conclusão,

crianças fora da escola, alfabetização, gasto em educação e P&D por país, região e ano, direto

no Claude, no ChatGPT ou em qualquer cliente MCP, com proveniência e citação da fonte em cada

resposta: README em português.

Questions it answers

In plain language, inside the MCP client — the assistant picks the tool and the filters:

  • "Which UNESCO indicators track out-of-school children?" (uis_search_indicators)
  • "How did primary completion evolve in Brazil, Peru and Colombia after 2015?" (uis_get_data)
  • "Is there a UNESCO series on government expenditure on education as a share of GDP?" (uis_search_indicators → uis_get_data)
  • "How many researchers per million inhabitants do the BRICS countries have since 2010?" (uis_search_indicators → uis_get_data)
  • "What is the adult literacy rate in Argentina and Chile, by sex?" (uis_get_data)
  • "Which geo unit code does the UIS use for Côte d'Ivoire, and which regional aggregates exist?" (uis_list_geo_units)

Three of them — enrolment, literacy and education spending — run against the live server, with the tool calls and what came back: uis.sidneybissoli.com/examples.

Ask in your words, not UNESCO's. The UIS is worded in British statistical English, and the catalogue is matched on the indicator name — so the everyday or US word used to return *nothing at all*. Measured over the 5,063 indicators of the official catalogue (2026-09-16), and fixed since 0.3.0: the search expands the term to the source's wording (OR within a term, AND across terms — it only adds recall) and says it translated, in vocabulary_notes; a zero result comes with a hint on what to try next. The same table feeds the search index (Deep Research).

you askhits beforeUNESCO writeshits
enrollment0enrolment387
education spending, budget0expenditure57
teacher wages0salary4
university, college0tertiary448
preschool, kindergarten0pre-primary, early childhood113
elementary0primary886
scientists0researchers11
girls, women0female1,252
kids, teenagers0children, adolescents161, 131
graduation rate0completion342
pupil-teacher ratio0pupil-qualified teacher ratio10
foreign students249internationally mobile students979
primary school completion0primary education114
illiteracy, maths, tvet, phd, stem0illiterate, mathematics, vocational, doctoral, science, technology, engineering268, 79, 33, 24, 9

Only measured pairs go in (the asked word absent from the catalogue, the source's word present) — the table lives in src/uis/vocabulary.ts, with the counts. A term the UIS does not publish is left out and still returns zero, because an alias for data that does not exist promises what the source does not have: dropout, tuition, unemployment and labor (labour statistics belong to the sister server ilo-mcp-server; what labor matches today are 62 names containing "collaboration").

Comparison with the alternatives

Anyone who already works with UIS data has good tools, and this server replaces none of them — it sits somewhere else in the chain: it answers the question at the point where the question is asked, inside the assistant, with source, data release and licence attached to the answer. Versions measured on 2026-10-02.

ToolWhat it isWhen to prefer it
uis-mcp-server (this)Remote MCP server, hosted, nothing to install: 5 tools over the ~5,060 UIS indicators, with a provenance block per answerThe question is asked in an assistant (Claude, ChatGPT, Cursor, Claude Code) and the answer has to be auditable
uisapi 0.1.1 (R, CRAN)Community R client of the UIS Data API (not by UIS staff); also lists the bulk filesYou are in R and want UIS series in a data frame for analysis
unesco-reader 3.1.1 (Python, PyPI)Community Python client of the UIS Data APIYour pipeline is Python
global-education-mcp 0.4.0 (MCP, Python)Another MCP server: UIS Data API plus the OECD *Education at a Glance* APIYou want UIS and OECD education data side by side in one local server
unesco-mcp (MCP, Python, PyPI)Another MCP server over the UIS API, run locally with uvx; catalogue cached in SQLite, ranking and comparison tools (measured 2026-10-13)You prefer a local server with analysis tools built in
UNESCO UIS Statistics Scraper (Apify actor)Community actor over the same Data API, exposed as a tool by Apify's general MCP server; needs an Apify account, pay per result (US$ 0.002–0.004 per row by plan, 2026-10-13); output has source URL but no data releaseYou already run Apify pipelines and want UIS rows in an Apify dataset
WDI / wbstats (R), wbgapi (Python)World Bank clients; WDI republishes many UIS education series, with a lagYou want UIS education series next to World Bank indicators
UIS Bulk Data Download ServiceThe UIS's own CSV files per data release (SDG and OPRI)You need whole datasets, not answers
UIS Data APIThe source itself, which this server calls — no keyYou are building your own client and want full control

About SDMX: the UIS no longer serves it. Its legacy SDMX API reached end-of-life on 2020-06-23 (stated in the UIS's own February 2026 data release note) and the endpoint now answers 404 — generic SDMX clients that still list a UNESCO source (e.g. sdmx1) point at that dead URL, and the DBnomics copy of UNESCO data is a frozen 2020-era snapshot. For SDMX over labour statistics, see the sister server ilo-mcp-server, which talks to the ILOSTAT SDMX API.

Do not use this server when you need a whole dataset rather than an answer (the bulk files are the right tool), when the question is not education, science, culture or communication statistics published by the UIS (labour → ILO, national accounts → IMF/World Bank), or when you need microdata: the UIS publishes aggregates, and so does this server.

Sister servers, same design and same provenance block, for other official sources: ILOSTAT (ILO labour statistics), IBGE (Brazilian statistics), BCB (Central Bank of Brazil), Senado (Brazilian Senate open data), SIH/SUS (Brazilian hospital admissions) and medical terminologies (ICD-11, ICD-10, LOINC, RxNorm, ATC, MeSH).

Use it (hosted — no setup)

Point any MCP client at the Streamable HTTP endpoint:

https://uis.sidneybissoli.com/mcp

Claude Desktop / Claude Code and other clients with native remote support:

{

"mcpServers": { "unesco-uis": { "url": "https://uis.sidneybissoli.com/mcp" } } }

For clients that launch MCP servers as a command, use the mcp-remote bridge:

{

"mcpServers": { "unesco-uis": { "command": "npx", "args": ["-y", "mcp-remote", "https://uis.sidneybissoli.com/mcp"] } } }

The uis-mcp-server.sidneybissoli.workers.dev hostname is also served, as a secondary.

ChatGPT (Deep Research)

ChatGPT deep research (and company knowledge, and research workflows over the Responses API) only uses an MCP server that exposes exactly search and fetch — this server does, on top of the uis_* tools. Point the connector at the hosted endpoint, no key required:

https://uis.sidneybissoli.com/mcp

search ranks the query against the full UIS catalogue (~5,060 indicators — education, science/R&D, culture, demographic context) and returns { id, title, url } (ind: , e.g. ind:ROFST.1.CP); fetch returns the indicator as readable Markdown — name, theme, Data Browser group and framework, available years, a data sample (Brazil and the SDG world aggregate, last five years; one Data API call with a pinned release) and how to query it with uis_get_data — with the public UIS Data Browser page as url (https://databrowser.uis.unesco.org/view#indicatorPaths= %3A0%3A ), which is what ChatGPT cites. In search/fetch the text channel is the Deep Research contract's JSON (no footer); provenance travels in `structu

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