MCP server

Imf

io.github.cyanheads/imf-mcp-server

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

Query IMF SDMX 3.0 macroeconomic dataflows — WEO, BOP, CPI, exchange rates, 190 countries.

Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

5

Token cost

About 3,488 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-mcp-server https://imf.caseyjhand.com/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.imf-mcp-server]
url = "https://imf.caseyjhand.com/mcp"

Gemini CLI

{"mcpServers":{"imf-mcp-server":{"httpUrl":"https://imf.caseyjhand.com/mcp"}}}

Cursor

{"mcpServers":{"imf-mcp-server":{"url":"https://imf.caseyjhand.com/mcp"}}}

VS Code

{"servers":{"imf-mcp-server":{"type":"http","url":"https://imf.caseyjhand.com/mcp"}}}

Antigravity

agy mcp add imf-mcp-server https://imf.caseyjhand.com/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-mcp-server","server_url":"https://imf.caseyjhand.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"imf-mcp-server","server_url":"https://imf.caseyjhand.com/mcp"}

Tools

• imf_dataframe_describe ~183 tokens
  List DataCanvas tables and columns staged by a prior imf_query_dataset call. Returns each table's name, row count, and column schema (name + DuckDB type). Required before imf_dataframe_query to discover the table and column names for SQL.
• imf_dataframe_query ~312 tokens
  Run a read-only SQL SELECT against a DataCanvas table staged by imf_query_dataset. Supports multi-country comparisons, time-series aggregation, and cross-indicator joins. Requires imf_dataframe_describe first to discover table and column names. One SELECT statement per call; a leading WITH … SELECT
• imf_get_database ~883 tokens
  Fetch a dataflow's dimension list with a codelist preview for each dimension. Resolves human-readable terms to SDMX codes (e.g. "United States" → USA, "Constant prices" → NGDP_RPCH). Required before imf_query_dataset — SDMX keys are opaque without codelist lookups. Each codelist is capped at the fir
• imf_list_databases ~532 tokens
  List IMF SDMX dataflows available on the portal. Entry point for every query: imf_get_database and imf_query_dataset both require a dataflow id obtained here. Vintage (historical snapshot) dataflows such as WEO_2025_OCT_VINTAGE are excluded by default; set include_vintages=true to include them. Resu
• imf_query_dataset ~1578 tokens
  Query an IMF SDMX dataflow by dimension key over a time range. Returns observations with time_period, value, and status, plus the unit, scale, and decimals of each series — a key resolving to several series carries one entry per series in series_metadata, since unit and scale differ between them. An

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