Kongen Labs

v1.0.2Data Science & MLstable

LLM reasoning regime detection, cross-domain pattern transfer, and model routing.

io-github-fisnik-kongenmcpai-integration
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What is Kongen Labs?

Kongen Labs is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to llm reasoning regime detection, cross-domain pattern transfer, and model routing.

LLM reasoning regime detection, cross-domain pattern transfer, and model routing.

This server falls under the Data Science & ML and Coding Agents categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • LLM reasoning regime detection, cross-domain pattern transfe

Use Cases

Detect LLM reasoning regimes and patterns.
Transfer patterns across domains.
Community

Maintainer

LicenseMIT
Languagepython
Versionv1.0.2
UpdatedMar 23, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

PIP

pip install kongenlabs-mcp

Manual Installation

pip install kongenlabs-mcp

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about Kongen Labs

What is Kongen Labs?

Kongen Labs is a Model Context Protocol (MCP) server that llm reasoning regime detection, cross-domain pattern transfer, and model routing. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Kongen Labs?

Install via pip with: pip install kongenlabs-mcp. Then configure your AI client to connect to this MCP server.

Which AI clients work with Kongen Labs?

Kongen Labs works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Kongen Labs free to use?

Yes, Kongen Labs is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Data Science & ML MCP Servers

Explore all data science & ml servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "io-github-fisnik-kongen": { "command": "pip", "args": ["install", "kongenlabs-mcp"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

Ready to use Kongen Labs?

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