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Economic Statistics MCP Server

answering

Economic Statistics is answering right now. Last checked 10 min ago. It exposes 4 tools. Last commit 9 Oct 2026.

Official economic statistics for AI agents: GDP, inflation, trade and debt for 150+ countries.

Uptime history 43 hours of history
43 hours agonow
100.0%
Uptime 24h
91 of 91 checks
4
Tools
read from the server
175 ms
Response time
average over 24h
0
Stars
last commit 9 Oct 2026

Nothing serious here today

Today is the operative word: we check Economic Statistics every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 10 min ago.

run in your terminal
claude mcp add economic-statistics --transport http https://monit.ly/api/mcp/economy
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "economic-statistics": {
      "url": "https://monit.ly/api/mcp/economy"
    }
  }
}
~/.codex/config.toml
[mcp_servers.economic-statistics]
url = "https://monit.ly/api/mcp/economy"
.cursor/mcp.json
{
  "mcpServers": {
    "economic-statistics": {
      "url": "https://monit.ly/api/mcp/economy"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "economic-statistics": {
      "url": "https://monit.ly/api/mcp/economy"
    }
  }
}

Available tools 4

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

catalog
search_catalog
Find 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 values.
dataset
get_dataset
Full metadata for one dataset: description, source, period range, dimension labels, default view and covered countries.
inspect
inspect_dataset
Show 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.
series
get_series
Time 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.

Endpoints

URLTransportStateLatencyChecked
https://monit.ly/api/mcp/economy streamable-http answering 306 ms 10 min ago

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Economic Statistics — questions

Answers built from our own checks of this server.

What can Economic Statistics do?
It exposes 4 tools, read directly from the server on our last check. Among them: get_dataset, get_series, inspect_dataset, search_catalog. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Economic Statistics working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 175 ms. The bar chart above shows every period we have measured.
How do I connect Economic Statistics?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Economic Statistics need an API key?
No. Economic Statistics completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 4 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Economic Statistics?
It answers our handshake in 175 ms on average, which is faster than 67% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Economic Statistics open source?
Yes — it is published under the MIT licence and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.