MCP server

Unicef

io.github.pipeworx-io/unicef

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

UNICEF Data (UN Children's Fund) MCP — global statistics on child health,

Website Source

At a glance

Type

MCP server

Publisher

pipeworx.io (verified by the MCP Registry)

Status

Working at last check

Tools

45

Token cost

About 27,195 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http unicef https://gateway.pipeworx.io/unicef/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.unicef]
url = "https://gateway.pipeworx.io/unicef/mcp"

Gemini CLI

{"mcpServers":{"unicef":{"httpUrl":"https://gateway.pipeworx.io/unicef/mcp"}}}

Cursor

{"mcpServers":{"unicef":{"url":"https://gateway.pipeworx.io/unicef/mcp"}}}

VS Code

{"servers":{"unicef":{"type":"http","url":"https://gateway.pipeworx.io/unicef/mcp"}}}

Antigravity

agy mcp add unicef https://gateway.pipeworx.io/unicef/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"unicef","server_url":"https://gateway.pipeworx.io/unicef/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"unicef","server_url":"https://gateway.pipeworx.io/unicef/mcp"}

Tools

• dataflow_structure ~213 tokens
  Get the structure (Data Structure Definition) of one UNICEF dataset: its ordered dimensions and, for each, the valid codes (e.g. countries, indicators, sex, age, wealth quintile). Use this to learn how to build the dot-separated SDMX `key` for get_data. The key has one position per dimension, in `di
• get_data ~426 tokens
  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({ dataflo
• list_dataflows ~253 tokens
  Browse or keyword-search UNICEF's datasets (dataflows). UNICEF Data covers child health, nutrition, education, child protection, child mortality, child poverty, immunization, water/sanitation/hygiene (WASH) and the child-related SDGs. Each result has an `id` (the dataflowId you pass to dataflow_stru

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