imf-mcp-server

Query IMF SDMX 3.0 macroeconomic data — 193 dataflows, WEO, BOP, CPI, exchange rates, 190 countries.

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What it can do

  • Imf List Databases: List all IMF SDMX dataflows available on the portal (193 total). Entry point for every query: imf_get_database and imf_query_dataset both require a dataflow id obtained here. Vinta
  • Imf Get Database: Fetch a dataflow's dimension list and complete codelist for each dimension. Resolves human-readable terms to SDMX codes (e.g. "United States" → USA, "real GDP growth" → NGDP_RPCH). R
  • Imf Query Dataset: Query an IMF SDMX dataflow by dimension key over a time range. Returns observations with time_period, value, unit, scale, and status attributes. Requires imf_get_database first to o

What data it sees

Do you need an account

No: the server works without sign-in

Query IMF SDMX 3.0 macroeconomic data — 193 dataflows, WEO, BOP, CPI, exchange rates, 190 countries.

How to connect

How to connect imf-mcp-server to Claude

The server address to paste into Claude settings:

https://imf-mcp-server--cyanheads.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect imf-mcp-server to ChatGPT

The server address to paste into ChatGPT settings:

https://imf-mcp-server--cyanheads.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect imf-mcp-server to Cursor

The server address to paste into Cursor settings:

https://imf-mcp-server--cyanheads.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (5)

Raw names from tools/list. Only developers need these.

imf_list_databasesList all IMF SDMX dataflows available on the portal (193 total). 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.
imf_get_databaseFetch a dataflow's dimension list and complete codelist for each dimension. Resolves human-readable terms to SDMX codes (e.g. "United States" → USA, "real GDP growth" → NGDP_RPCH). Required before imf_query_dataset — SDMX keys are opaque without codelist lookups. Country codes are ISO 3-letter (USA, GBR, DEU), not ISO 2-letter (US, GB, DE). The key_format field shows the exact dimension order required by imf_query_dataset. Note: codelists enumerate the code universe, not actual coverage — valid codes can still return no_data if the combination has no series in this dataflow.
imf_query_datasetQuery an IMF SDMX dataflow by dimension key over a time range. Returns observations with time_period, value, unit, scale, and status attributes. Requires imf_get_database first to obtain the correct key_format and valid dimension codes. Country codes are ISO 3-letter (USA, GBR, DEU — not US, GB, DE). Key format: dot-separated codes in DSD keyPosition order (e.g. USA.NGDP_RPCH.A for WEO). Use + to specify multiple codes per position (e.g. USA+GBR.NGDP_RPCH.A). Codelists from imf_get_database enumerate the code universe, not actual coverage — valid codes can still return no_data if the combination has no series. Large analytical result sets (multi-country, long time range) spill to DataCanvas; imf_dataframe_query provides SQL analysis of spilled results.
imf_dataframe_describeList 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_queryRun 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. Only SELECT statements are accepted — DML and DDL are rejected.