aerugo/kolada-mcp
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Kolada MCP Server enables seamless integration between Large Language Models (LLMs) and Kolada, Sweden’s comprehensive municipal and regional statistical database.
Kolada MCP Server
A clean, standalone MCP (Model Context Protocol) server for Sweden's Kolada municipal statistics API.
Overview
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.
Features
- 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
Available Tools
| Tool | Description |
|---|---|
list_operating_areas | List all KPI categories with counts |
get_kpis_by_operating_area | Get KPIs within a specific category |
search_kpis | Semantic search for KPIs using natural language |
get_kpi_metadata | Get detailed metadata for a specific KPI |
fetch_kolada_data | Fetch raw KPI data for municipalities |
analyze_kpi_across_municipalities | Comparative analysis with rankings |
compare_kpis | Compare two KPIs (difference or correlation) |
list_municipalities | List municipalities/regions |
filter_municipalities_by_kpi | Filter by KPI threshold |
Installation
Using pip
pip install -e .
Using Docker
docker-compose up -d kolada-mcp
Usage
Stdio Mode (Default)
kolada-mcp
# or
python -m kolada_mcp
HTTP Mode
MCP_TRANSPORT=http PORT=8001 kolada-mcp
Claude Desktop Integration
Add to your Claude Desktop configuration:
{
"mcpServers": {
"kolada": {
"command": "kolada-mcp"
}
}
}
Configuration
Environment variables:
| Variable | Default | Description |
|---|---|---|
MCP_TRANSPORT | stdio | Transport mode (stdio or http) |
PORT | 8001 | HTTP server port |
LOG_LEVEL | INFO | Logging level |
Development
Setup
# Create virtual environment
python -m venv .venv
source .venv/bin/activate
# Install with dev dependencies
pip install -e ".[dev]"
Running Tests
pytest
Code Quality
# Linting
ruff check src tests
# Type checking
mypy src
Architecture
src/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 tools
License
Apache-2.0
