What is KOLADA?
KOLADA is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to sök efter nyckeltal (kpis) med fritextsökning, publiceringsdatum eller verksamhetsområde. returnerar en lista med matchande kpis. svenska söktermer ger bäst resultat.
Sök efter nyckeltal (KPIs) med fritextsökning, publiceringsdatum eller verksamhetsområde. Returnerar en lista med matchande KPIs. Svenska söktermer ger bäst resultat.
This server falls under the Analytics category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- search_kpis
- get_kpi
- get_kpis
Use Cases
Maintainer
Works with
Installation
NPM
npx -y @toolsdk-remote/io-github-isakskogstad-kolada-mcpManual Installation
npx -y @toolsdk-remote/io-github-isakskogstad-kolada-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about KOLADA
What is KOLADA?
KOLADA is a Model Context Protocol (MCP) server that sök efter nyckeltal (kpis) med fritextsökning, publiceringsdatum eller verksamhetsområde. returnerar en lista med matchande kpis. svenska söktermer ger bäst resultat. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install KOLADA?
Install via npm with the command: npx -y @toolsdk-remote/io-github-isakskogstad-kolada-mcp. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).
Which AI clients work with KOLADA?
KOLADA works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is KOLADA free to use?
Yes, KOLADA is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Analytics MCP Servers
Explore all analytics servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up KOLADA in Your Editor
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Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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