Click on "Deploy 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., "@Kolada MCP Server compare unemployment rates between Stockholm and Gothenburg"
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.
A clean, standalone MCP (Model Context Protocol) server for Sweden's Kolada municipal statistics API.
This server provides AI applications with access to Sweden's comprehensive municipal and regional statistics database. It enables natural language queries against thousands of Key Performance Indicators (KPIs) covering various aspects of Swedish public sector data.
Related MCP server: SCB MCP Server
9 MCP Tools for comprehensive data access
Semantic Search using Swedish BERT embeddings
No External Dependencies - fully standalone (no Mima or Redis)
Containerized with Docker support
Modern Python 3.11+ with type hints and async/await
Tool | Description |
| List all KPI categories with counts |
| Get KPIs within a specific category |
| Semantic search for KPIs using natural language |
| Get detailed metadata for a specific KPI |
| Fetch raw KPI data for municipalities |
| Comparative analysis with rankings |
| Compare two KPIs (difference or correlation) |
| List municipalities/regions |
| Filter by KPI threshold |
pip install -e .docker-compose up -d kolada-mcpkolada-mcp
# or
python -m kolada_mcpMCP_TRANSPORT=http PORT=8001 kolada-mcpAdd to your Claude Desktop configuration:
{
"mcpServers": {
"kolada": {
"command": "kolada-mcp"
}
}
}Environment variables:
Variable | Default | Description |
|
| Transport mode ( |
|
| HTTP server port |
|
| Logging level |
# Create virtual environment
python -m venv .venv
source .venv/bin/activate
# Install with dev dependencies
pip install -e ".[dev]"pytest# Linting
ruff check src tests
# Type checking
mypy srcsrc/kolada_mcp/
├── __init__.py # Package init
├── __main__.py # Entry point
├── config.py # Settings (Pydantic)
├── server.py # FastMCP server
├── models/
│ └── types.py # Data models
├── services/
│ ├── kolada_client.py # API client
│ ├── embeddings.py # Semantic search
│ └── data_processing.py
└── tools/
├── metadata.py # KPI metadata tools
├── data.py # Data fetching tools
├── municipality.py # Municipality tools
└── comparison.py # Comparison toolsApache-2.0
This server cannot be deployed
MCP server for Statistics Sweden (SCB) - 1200+ tables with population, economy, environment data
Swedish open data for Claude and other AI assistants - verified, with sources.
Kolada (RKA) MCP — Sweden's municipal & regional key-performance-indicator (KPI) database.
Statistics Sweden (SCB) — PxWeb JSON-stat statistical database