MCP server

Imf

io.github.pipeworx-io/imf

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

IMF MCP — wraps the IMF SDMX 2.1 REST API (api.imf.org)

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 27,214 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 imf https://gateway.pipeworx.io/imf/mcp

Claude Desktop

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

Codex (config.toml)

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

Gemini CLI

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

Cursor

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

VS Code

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

Antigravity

agy mcp add imf https://gateway.pipeworx.io/imf/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":"imf","server_url":"https://gateway.pipeworx.io/imf/mcp","require_approval":"always"}

Grok (xAI API tools)

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

Tools

• get_data ~485 tokens
  Fetch an IMF time series. Identify the series by dataset plus a `dimensions` map of named codes, e.g. get_data({dataset:"CPI", dimensions:{COUNTRY:"USA", INDEX_TYPE:"CPI", COICOP_1999:"_T", TYPE_OF_TRANSFORMATION:"IX", FREQUENCY:"M"}, start:"2024-01"}). Dimension names and order differ per dataset —
• get_datasets ~220 tokens
  List or search the IMF's datasets — CPI, WEO (World Economic Outlook), BOP (Balance of Payments), IMTS (trade in goods), GFS (government finance), MFS (monetary and financial), FSI (financial soundness), commodity prices and ~200 more. Returns the dataset id to pass to get_data and search_indicators
• search_indicators ~206 tokens
  Discover what a dataset accepts: its dimension names in key order, and the codes available for each, filtered by `query`. Use this before get_data — e.g. search_indicators({dataset:"CPI", query:"united states"}) finds COUNTRY=USA. Without a query it returns the dimension list and a sample of codes.

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