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Summary

This PR adds the Kolada MCP Server to the official MCP Registry.

Kolada MCP Server provides LLMs and AI assistants access to comprehensive Swedish municipality and regional statistics from the Kolada API.

Server Details

Features

  • 6000+ KPIs covering 264 operating areas
  • 290 municipalities + 21 regions across Sweden
  • Dual transport: stdio (NPM) and remote (HTTP/SSE)
  • Intelligent caching: 24-hour TTL for metadata
  • Rate limiting: Respects Kolada API limits
  • Swedish-first: Optimized for Swedish AI assistants

Operating Areas (sample)

  • Municipality overview (553 KPIs)
  • Primary school grades 0-9 (470 KPIs)
  • Upper secondary school (215 KPIs)
  • Healthcare (204 KPIs)
  • Population statistics (199 KPIs)
  • Preschool education (135 KPIs)

Example Use Cases

  • "How large is the population in Stockholm?" → 988,943 (2023)
  • "Which municipalities have the largest population?"
  • "Compare education costs in Gothenburg and Malmö"
  • "Show trend for elderly care costs in Uppsala over the last 5 years"

Validation

✅ All validations passed:

  • Schema validation (MCP 2025-10-17)
  • Version consistency (package.json ↔ server.json)
  • NPM package published and accessible
  • Remote endpoints healthy and operational

Testing

The server has been tested with:

  • Claude Desktop (stdio)
  • Claude Web (remote HTTP)
  • Claude Code CLI (SSE)

Documentation

Complete documentation available at:

Source Attribution

Data source: Kolada - managed by SKR (Swedish Association of Local Authorities and Regions). This is an independent project with no official affiliation.

License

MIT License

Kolada MCP Server provides access to Swedish municipality and regional statistics from Kolada API.

**Features:**
- 6000+ Key Performance Indicators (KPIs)
- 290 Swedish municipalities + 21 regions
- 264 operating areas (education, healthcare, economy, environment, etc.)
- Both stdio (NPM) and remote (HTTP/SSE) transports
- Intelligent caching and rate limiting

**Package:** [email protected]
**Remote:** https://kolada-mcp-pafn.onrender.com/mcp
**Repository:** https://github.com/isakskogstad/kolada-mcp
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