Kolada Mcp
What is Kolada Mcp
kolada-mcp is an MCP server designed to facilitate seamless integration between Large Language Models (LLMs) and Kolada, Sweden’s comprehensive municipal and regional statistical database. It provides structured access to thousands of Key Performance Indicators (KPIs) for data-driven analysis.
Use cases
Use cases for kolada-mcp include exploring affordable housing options, analyzing the relationship between unemployment and mental health, tracking satisfaction levels in preschool education, and creating interactive dashboards for public transportation analysis.
How to use
Users can interact with the kolada-mcp server by posing open-ended questions that require reasoning and data analysis. The server processes these queries and returns relevant insights from the Kolada database.
Key features
Key features of kolada-mcp include semantic search capabilities, robust analysis tools, and the ability to simplify navigation through extensive KPIs related to Swedish municipalities and regions.
Where to use
kolada-mcp can be used in various fields such as public policy analysis, urban planning, education research, and healthcare studies, particularly in the context of Swedish municipal data.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Kolada Mcp
kolada-mcp is an MCP server designed to facilitate seamless integration between Large Language Models (LLMs) and Kolada, Sweden’s comprehensive municipal and regional statistical database. It provides structured access to thousands of Key Performance Indicators (KPIs) for data-driven analysis.
Use cases
Use cases for kolada-mcp include exploring affordable housing options, analyzing the relationship between unemployment and mental health, tracking satisfaction levels in preschool education, and creating interactive dashboards for public transportation analysis.
How to use
Users can interact with the kolada-mcp server by posing open-ended questions that require reasoning and data analysis. The server processes these queries and returns relevant insights from the Kolada database.
Key features
Key features of kolada-mcp include semantic search capabilities, robust analysis tools, and the ability to simplify navigation through extensive KPIs related to Swedish municipalities and regions.
Where to use
kolada-mcp can be used in various fields such as public policy analysis, urban planning, education research, and healthcare studies, particularly in the context of Swedish municipal data.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Kolada MCP Server
Kolada MCP Server enables seamless integration between Large Language Models (LLMs) and Kolada, Sweden’s comprehensive municipal and regional statistical database. It provides structured access to thousands of Key Performance Indicators (KPIs), facilitating rich, data-driven analysis, comparisons, and explorations of public sector statistics.
Overview
Kolada MCP Server acts as intelligent middleware between LLM-based applications and the Kolada database, allowing easy querying and analyzing of data related to Swedish municipalities and regions. With semantic search capabilities and robust analysis tools, Kolada MCP significantly simplifies navigating and interpreting the vast array of KPIs in Kolada.
Example Queries
Ask Kolada MCP Server complex questions requiring data analysis:
- Where in Sweden should a family move to find affordable housing, good schools, and healthcare?
- Investigate the connection between unemployment and mental illness in Västernorrland.
- Identify municipalities with the highest increase in preschool quality over the last five years.
- Create a dashboard visualizing municipalities with the best and worst public transportation.
Features
- Semantic Search: Natural language queries for KPIs.
- Category Filtering: Access KPIs grouped by thematic areas.
- Municipal & Regional Data Retrieval: Fetch KPI data or historical time series.
- Multi-Year Comparative Analysis: Evaluate KPI performance changes across municipalities.
- Cross-KPI Correlation: Analyze relationships between KPIs.
Available Tools
- list_operating_areas: Retrieve available KPI categories.
- get_kpis_by_operating_area: List KPIs under a category.
- search_kpis: Discover KPIs using semantic search.
- get_kpi_metadata: Access detailed KPI metadata.
- fetch_kolada_data: Retrieve KPI values.
- analyze_kpi_across_municipalities: In-depth municipal KPI analysis.
- compare_kpis: Evaluate KPI correlations.
- list_municipalities: List municipality IDs and names.
Quick Start
Kolada MCP Server includes pre-cached KPI metadata. Delete kpi_embeddings.npz to refresh.
Installation
Use uv to install Kolada MCP dependencies:
uv sync
Running Locally for Development
Start the server locally:
uv run mcp dev server.py
Open MCP Inspector at http://localhost:5173 to test and debug.
Claude Desktop Integration
Edit your claude_desktop_config.json to add Kolada MCP Server:
Docker Image (Local Build)
Prebuilt Container via PyPI
Local UV Execution (without Docker)
Replace [path to kolada-mcp] with your local directory:
Restart Claude Desktop after updating.
Contributing
Contributions are welcome! Submit issues, enhancements, or PRs on GitHub.
Disclaimer
Kolada MCP Server is independently developed, not endorsed by or affiliated with RKA or other organizations.
License
Kolada MCP Server is licensed under the Apache License 2.0.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
