MCP server exposing 3 tools for global-forest-watch.
This URL is a JSON-RPC 2.0 endpoint over HTTP. Issue POST requests with a JSON-RPC body. Browsers and search crawlers land here on GET.
POST https://gateway.pipeworx.io/global-forest-watch/mcp
Content-Type: application/json
{"jsonrpc":"2.0","id":1,"method":"tools/list"}
gfw_datasets — List or keyword-search the Global Forest Watch Data API catalogue — the WRI/UMD datasets behind GFW: annual tree cover loss and gain, primary forest extent, GLAD/RADD deforestation alerts, fire alerts (VIIRS/MODIS), protected areas, concessions, Aqueduct water risk, carbon flux. Returns each dataset name (pass it to gfw_dataset or gfw_query), its title, tags and published versions. Keyless. AUTHORITATIVE for what forest-change data GFW actually publishes.gfw_dataset — Full detail for ONE Global Forest Watch dataset — metadata (source, citation, spatial resolution, geographic coverage, update frequency, cautions, licence) plus its version list. Pass a version (or "latest") to also get that version's status, assets and field/band list, which is what gfw_query needs to build a valid SQL statement. Keyless.gfw_query — Run a read-only SQL SELECT against one Global Forest Watch dataset version — e.g. tree cover loss hectares by year inside an area, or deforestation alerts inside a bounding box. The table is always called `data`; use gfw_dataset to see the available columns first. Almost every GFW dataset (tree cover loss/gain, GLAD/RADD alerts, fire alerts, carbon, primary forest) is a RASTER TILE SET, not a plain table — a `geometry` (GeoJSON Polygon/MultiPolygon) is REQUIRED to scope the pixels queried, or the API answers 422 "Raster tile set queries require a geometry". Omit it only for the few vector-table datasets (e.g. wdpa_protected_areas). Requires your own free GFW API key, passed as _apiKey.Code samples (curl / TypeScript / one-click client install), schemas, and the live playground are on the pack page:
https://pipeworx.io/packs/global-forest-watch/
Pipeworx is an open MCP gateway connecting AI agents to live data. pipeworx.io