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Connect to Kongen's Pattern Intelligence API for reasoning detection and model routing.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "kongen-mcp" yet — see the docs or source repo.
Analyze the reasoning regime of this task and recommend the best model routing strategy based on structural transfer scoring: 'I want to compare how three pricing plans affect conversion across user segments and produce experiment design recommendations.'
Returns the task's reasoning characteristics, structural similarity scores, and a recommended model or routing strategy.
Determine what reasoning regime this prompt belongs to, whether it is suitable for a lightweight model, and explain why: 'Based on the attached data, identify anomalous trends, propose possible causes, and provide next validation steps.'
Provides a reasoning-type classification, task complexity analysis, and a recommendation on whether to escalate to a stronger model.
We have a multi-model workflow. Based on the task structure of each step, design an intelligent routing plan: Step 1 extract requirements, Step 2 summarize risks, Step 3 generate an execution plan. The goal is to reduce cost while maintaining quality.
Delivers step-by-step model assignment suggestions, routing logic, and cost-versus-quality tradeoff guidance.
Configure konsol data models, connectors, and schemas using natural language.
Intelligent RAG tool that chooses between private knowledge and web search.
Generate, search, and reason over knowledge graphs from data sources without API keys.
Access Kaggle competitions, datasets, notebooks, and models through one MCP tool.
Connect AI to a knowledge base for semantic retrieval and compliant content management.
Centralize knowledge, run semantic search, ingest documents, and generate RAG answers.