How does the complexity score work?

The score is a weighted sum of four dimensions: file modification volume, dependency depth, architectural impact, and ambiguity level detected in the task description.

What are the available effort levels?

The system maps scores to LOW, MEDIUM, HIGH, or XHIGH effort levels based on fixed thresholds.

Can I see the latency multipliers?

Yes, you can use `get_latency_config` to retrieve the coefficients used for different model types.

Claude Reasoning Effort Calibrator MCP Connector for Claude

A+

Determines optimal LLM reasoning effort by analyzing task complexity metrics.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

More Details Connect to Claude

This MCP server provides a deterministic system to solve the reasoning tradeoff. By analyzing task complexity through metrics like file modification volume, dependency depth, and architectural impact, it calculates a complexity score. It then maps this score to an effort level (LOW, MEDIUM, HIGH, or XHIGH) and estimates latency. Use calculate_reasoning_needs to find the ideal effort for a task, get_effort_mapping to view complexity thresholds, or get_latency_config to retrieve model-specific latency coefficients.

reasoningcomplexitylatencyllmoptimization

Connect to Claude

Subscribe on Vinkius, then add this connector to Claude.ai or Claude Code.

① Claude.ai (web app)

Go to Settings → Connectors → Add custom connector
Paste the MCP endpoint URL below

https://edge.vinkius.com/vk_preview_i0GimZLBokv2HoPddCNJ0dJc8H3P6YfVrcAquxv7/mcp

② Claude Code (terminal)

claude mcp add --transport http claude-reasoning-effort-calibrator https://edge.vinkius.com/vk_preview_i0GimZLBokv2HoPddCNJ0dJc8H3P6YfVrcAquxv7/mcp

③ Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "claude-reasoning-effort-calibrator": {
      "url": "https://edge.vinkius.com/vk_preview_i0GimZLBokv2HoPddCNJ0dJc8H3P6YfVrcAquxv7/mcp"
    }
  }
}

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