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Global MacroMCP serverFirst audited Nov 13, 2026

Economic Statistics

Official economic statistics for AI agents: GDP, inflation, trade and debt for 150+ countries.The vendor's description, from its MCP Registry listing.

Passed public checksAudited Nov 13, 2026

Every public check ran and passed. Public audit: we connect as an AI client would, list the tools and check what they say. We do not run them. How we audit

Does it work?
YesConnected in 471 ms.
Sign-up?
None neededIt answered without any account or key.
Can it change things?
No, read-onlyAll 4 tools say they only read.
Endpointhttps://monit.ly/api/mcp/economy

Source code Website Streamable HTTP · protocol 2025-11-25 · server version 1.4.0

What we checked, the evidence, and the tools it offers.

What we checked

Security

  • Passed: Connections are encrypted (HTTPS).

  • Passed: No hidden instructions found in tool text.

Safety labels

  • Passed: Every tool says whether it only reads or can change things.

Tools

  • Passed: 4 tools listed.

  • Passed: Every tool describes its inputs with a valid schema.

Protocol

  • Passed: The MCP handshake works (Streamable HTTP).

  • Passed: Protocol version 2025-11-25 (latest).

  • Passed: Unknown requests are refused.

Connection

  • Passed: The server responds.

Tools (4)

As the server describes them. The labels are the server's own: it says whether each tool only reads or can change things.

  • search_catalogFind official economy datasets (Eurostat, OECD, World Bank, IMF, WHO, national statistics offices). Use first to get dataset ids. Optional country and source filters. Returns dataset cards, not value…Read-only
  • inspect_datasetShow one dataset's dimensions, default series and the latest few values for a country. Use after search_catalog to check the dataset fits before pulling the full series.Read-only
  • get_datasetFull metadata for one dataset: description, source, period range, dimension labels, default view and covered countries.Read-only
  • get_seriesTime series values for one country from a dataset (oldest first). Optionally pick a series by exact dimension values (from inspect_dataset) and a start period such as 2015, Q1/2015 or 01/2015.Read-only

Audit history

  1. Nov 13Passed

What we sent

Every request in this audit, with the answer and how long it took. We never send credentials and never call a tool.

RequestAnswerTime
initializeHTTP 200471 ms
initializedHTTP 202151 ms
tools/listHTTP 200417 ms
unknown-methodHTTP 200143 ms

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