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Kolada
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5 months ago
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2 months ago
Catalog Refreshed
Documentation & install
Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.
Kolada MCP Server connects LLMs and AI chatbots to 5,000+ KPIs across 264 operating areas for all Swedish municipalities and regions. You can access data directly via a remote URL or run the server locally to integrate with your AI clients and workflows.
How to use
You connect your MCP client to the Kolada MCP Server using either the remote MCP URL or a local runtime. The remote endpoint exposes a standard MCP interface you can call from your AI assistant to fetch KPI metadata, perform searches, filter data, and run analyses. For local use, you run a local MCP server process and point your client to the local process over standard MCP transports.
How to install
Prerequisites you need before you start:
-
Node.js and npm installed on your machine.
-
Internet access to install dependencies (for local setup).
How to install
# 1) Run the MCP server remotely (no local install required)
# You can connect your clients to this URL:
# https://kolada-mcp-pafn.onrender.com/mcp
To run the MCP server locally using the quickest method, you use the npx command shown below.
npx kolada-mcp-server
If you prefer a global installation, install the package globally and start the server with the provided command.
npm install -g kolada-mcp-server
kolada-mcp-server
Configuration and usage notes
You can connect popular AI clients using their MCP connection options. When using a remote server, point your client at the remote URL below. For local usage with npx, simply run the command and connect to the local process.
Endpoints and transport
The MCP server exposes multiple endpoints to support different communication styles. Use HTTP for standard MCP interactions or Server-Sent Events (SSE) for streaming updates from the server. The health endpoint lets you verify the server status.
Security and best practices
Keep the server updated and run it behind standard security measures. Use environment variables for secrets, enable rate limiting and timeouts, and monitor for vulnerabilities with automated security tooling as described in the security guidelines.
Notes
A remote MCP URL is available for quick integration. Local usage via npx provides a zero-setup path for experimentation and development. Ensure you only point clients to MCP endpoints you trust and verify data usage and attribution when presenting Kolada data in a service.
Available tools
search_kpis
Fritextsökning bland 5 000+ nyckeltal
get_kpi
Hämta metadata för ett nyckeltal via ID
get_kpis
Hämta flera nyckeltal samtidigt (max 25)
get_kpi_groups
Lista tematiska grupper
get_kpi_group
Hämta alla nyckeltal i en grupp
list_operating_areas
Lista 264 verksamhetsområden
get_kpis_by_operating_area
Filtrera nyckeltal per verksamhetsområde
search_municipalities
Sök bland 290 kommuner och 21 regioner
get_municipality
Hämta detaljer via kommun-ID
get_municipality_groups
Lista kommungrupper
get_municipality_group
Hämta kommuner i en grupp
search_organizational_units
Sök skolor, äldreboenden m.m.
get_organizational_unit
Hämta enhetsdetaljer
get_ou_types
Lista enhetstyper
get_kpi_data
Hämta värden med könsfiltrering (T/M/K)
get_municipality_kpis
Lista KPI:er för en kommun
compare_municipalities
Jämför 2–10 kommuner
get_kpi_trend
Tidsserieanalys
analyze_kpi_across_municipalities
Statistik + rankning
filter_municipalities_by_kpi
Filtrera efter tröskelvärde
compare_kpis
Korrelation mellan nyckeltal