Wsl MCP Server

WSL / EnviDat environmental research datasets via CKAN

Local serverstdioPython

What is the Wsl MCP server?

If you already use Wsl, the wsl mcp server is the piece that lets your assistant work with it directly. WSL / EnviDat environmental research datasets via CKAN.

What the server does

Phase-2 ideas (caching layer, semantic aggregation tool combining forest + snow + hazard data into a "Lage-Übersicht"): tracked under docs/.

The WSL (Eidgenössische Forschungsanstalt für Wald, Schnee und Landschaft / Swiss Federal Research Institute for Forest, Snow and Landscape) is one of Europe's leading environmental research institutes. Its open data platform EnviDat provides access to 1,000+ research datasets, time series of up to 130 years, and data from 6,000+ monitoring stations.

  • 10 tools — covering full-text search, domain-specific queries, spatial search, and curated thematic tools (avalanche, forest, natural hazards)
  • 2 MCP resources — for organizations and research domains
  • 5 research domains — Forest · Biodiversity · Natural Hazards · Snow & Ice · Landscape
  • 815+ datasets — , time series since 1890, data from the SLF avalanche research institute
  • No API key required — — all data publicly accessible via open licenses
  • Dual transport — stdio (Claude Desktop / local) + Streamable HTTP (cloud deployment)

Available tools

The toolset is worth reading before you wire it up, because it tells you what the integration is really for:

  • wsl_search — Unified search — combine query, domain, organization, and bbox filters
  • wsl_get_dataset — Full metadata, DOI, download URLs for a specific dataset
  • wsl_list_organizations — List all WSL research units on EnviDat
  • wsl_get_organization — Details of a specific research unit incl. datasets
  • wsl_list_tags — Browse available tags/keywords
  • wsl_get_recent_datasets — Most recently updated datasets
  • wsl_get_avalanche_data — SLF avalanche & snow data (incl. fatal accidents since 1936)
  • wsl_get_forest_data — Forest data incl. National Forest Inventory (LFI) & Sanasilva
  • wsl_get_naturgefahren_data — Natural hazard datasets (landslides, rockfall, floods)
  • wsl_catalog_stats — Catalog overview and statistics
  • Demo — The Demo tool exposed by this server

Credentials and setup notes

  • Python 3.11+ - pip or uv / uvx - Internet connection (live API calls to envidat.ch) ---

Installation

The server ships on PyPI as wsl-envidat-mcp, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.

Where it fits

This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Wsl's toolset — wsl_search, wsl_get_dataset, wsl_list_organizations and 8 more — is a fair guide to whether it matches your workflow. It is maintained by malkreide; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against Wsl's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Worth knowing first

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • With 11 tools registered it takes up a noticeable share of the context window; turn it off in projects that never touch Wsl.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Available tools

ToolWhat it does
wsl_searchUnified search — combine query, domain, organization, and bbox filters
wsl_get_datasetFull metadata, DOI, download URLs for a specific dataset
wsl_list_organizationsList all WSL research units on EnviDat
wsl_get_organizationDetails of a specific research unit incl. datasets
wsl_list_tagsBrowse available tags/keywords
wsl_get_recent_datasetsMost recently updated datasets
wsl_get_avalanche_dataSLF avalanche & snow data (incl. fatal accidents since 1936)
wsl_get_forest_dataForest data incl. National Forest Inventory (LFI) & Sanasilva
wsl_get_naturgefahren_dataNatural hazard datasets (landslides, rockfall, floods)
wsl_catalog_statsCatalog overview and statistics
DemoThe Demo tool exposed by this server.

How to install the Wsl MCP server

{
  "mcpServers": {
    "wsl-envidat-mcp": {
      "command": "uvx",
      "args": [
        "wsl-envidat-mcp"
      ]
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

  • Python 3.11+ - pip or uv / uvx - Internet connection (live API calls to envidat.ch) ---

Example prompts to try

  • Use Wsl to wsl search.
  • Use Wsl to wsl get dataset.
  • Use Wsl to wsl list organizations.

Frequently asked questions

It connects Wsl to MCP-compatible AI assistants such as Claude and Cursor, exposing 11 tools (wsl_search, wsl_get_dataset, wsl_list_organizations, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Wsl directly.