Wsl Envidat MCP server

🇨🇭 Part of the Swiss Public Data MCP Portfolio

wsl-envidat-mcp 🌲❄️⛰️

MCP server connecting AI models to Swiss environmental research data from WSL via EnviDat — forest, snow, avalanches, natural hazards and biodiversity, no API key required.

🇩🇪 Deutsche Version

Phase

This server is in Phase 1: Read-only Wrapper.

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

Overview

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.

This MCP server exposes the EnviDat CKAN API as 10 tools and 2 resources, enabling AI assistants to search, filter and retrieve WSL research data by keyword, domain, or geographic bounding box — all without an API key.

Anchor demo query: "How was air quality and forest health around Schulhaus Leutschenbach in Zurich — and what does the WSL say about the current forest condition in the canton?"

Demo

Features

• 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)
• Model-agnostic: works with Claude, GPT-4, and any MCP-compatible client

Prerequisites

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

Installation

# Recommended: uvx (no installation needed)
uvx wsl-envidat-mcp

# Or with pip
pip install wsl-envidat-mcp

# Development
git clone https://github.com/malkreide/wsl-envidat-mcp.git
cd wsl-envidat-mcp
pip install -e ".[dev]"

Quickstart

Claude Desktop

Edit ~/Library/Application Support/Claude/claudedesktopconfig.json (macOS) or %APPDATA%\Claude\claudedesktopconfig.json (Windows):

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

Restart Claude Desktop, then ask:

Shortened. The full README is on GitHub.