Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@mcp-worldbank-climate show me annual rainfall data for Kenya from 2000 to 2020"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
World Bank Climate Change Knowledge Portal (CCKP) MCP.
Part of Pipeworx — an MCP gateway connecting AI agents to 1394+ live data sources.
Tool | Description |
| World Bank CCKP climate data for any country: historical observations and CMIP6 climate-model projections. Returns mean temperature, max/min temperature, or precipitation, by emissions scenario. Pass the components as separate args — this tool assembles the brittle composite "indicator code" for you. Values are returned keyed by ISO3 country code; the inner key is "-07" (annual/period) or per-season months.nnWORKED EXAMPLES (all verified live):n1. Historical annual mean temperature for the USA (defaults): {"geography":"USA"} => tas climatology over 1995-2014, ~10.2°C.n2. Projected warming (anomaly) for the USA mid-century under a high scenario: {"geography":"USA","scenario":"ssp585","period":"2040-2059","product":"anomaly"} => ~2.4°C above baseline.n3. Historical annual precipitation for all countries: {"geography":"all_countries","variable":"pr","product":"climatology","period":"1995-2014","scenario":"historical"} => mm/year per country.nnIf assembly ever fails for an exotic combination, pass the full composite string via indicator_code instead. |
| Return a static reference object documenting all verified CCKP indicator-code components: valid variables (tas/tasmax/tasmin/pr), scenarios (historical + SSP119–585), periods, products (climatology/anomaly), aggregations (annual/seasonal), and the 11-token composite code order. Takes no arguments; call before get_climate_data to choose valid parameter combinations.Call this to learn valid variables, scenarios, periods, products, and aggregations before building a get_climate_data request. Takes no arguments. |
Related MCP server: MCP Weather Server
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"worldbank-climate": {
"url": "https://gateway.pipeworx.io/worldbank-climate/mcp"
}
}
}Or connect to the full Pipeworx gateway for access to all 1394+ data sources:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}Instead of calling tools directly, you can ask questions in plain English:
ask_pipeworx({ question: "your question about Worldbank Climate data" })The gateway picks the right tool and fills the arguments automatically.
MIT
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If you are the server author, to access and configure the admin panel.
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