INDIVIDUAL MCP TOOL

get_dataset

Full metadata for one dataset: description, source, period range, dimension labels, default view and covered countries.

monit.lynone authenticationAvailability not checked

LIVE ENDPOINT

https://monit.ly/api/mcp/economy

No auth detected

Connect to this endpoint to inspect the live schema for get_dataset and invoke it with your own arguments.

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.monitly-economy]
url = "https://monit.ly/api/mcp/economy"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "monitly-economy": {
      "type": "http",
      "url": "https://monit.ly/api/mcp/economy"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: monitly-economy
Remote MCP URL: https://monit.ly/api/mcp/economy

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "monitly-economy": {
      "url": "https://monit.ly/api/mcp/economy"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "monitly-economy": {
      "type": "http",
      "url": "https://monit.ly/api/mcp/economy"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "monitly-economy",
  "transport": "streamable-http",
  "url": "https://monit.ly/api/mcp/economy"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

search_catalog — Find official economy datasets (Eurostat, OECD, World Bank, IMF, WHO, national statistics offices).
inspect_dataset — Show one dataset's dimensions, default series and the latest few values for a country.
get_series — Time series values for one country from a dataset (oldest first).