AI SaaS Token Economics Engine

AI SaaS Token Economics Engine MCP Connector for Claude

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Analyze token consumption, feature efficiency, and tier-based costs for AI SaaS platforms.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides a suite of analytical tools to monitor and optimize the economic impact of LLM usage. It allows AI agents to calculate average tokens per user using get_user_consumption_metrics, identify high-cost components via get_feature_efficiency_breakdown, and evaluate the financial burden of different subscription levels with get_tier_cost_analysis. Additionally, it estimates the economic benefits of prompt optimization and caching through get_optimized_consumption_impact.

tokenscost-analysissaas-metricsllm-economicsoptimization

4 tools expose this connector's capabilities to your AI agent.

get_user_consumption_metrics

Provides high-level average usage statistics per user

get_feature_efficiency_breakdown

Analyzes how much each feature contributes to the total token load

get_optimized_consumption_impact

Estimates the savings gained from optimization and caching strategies

get_tier_cost_analysis

Calculates the financial burden of serving users across different subscription levels

See how to talk to your AI agent using AI SaaS Token Economics Engine.

What is the average token consumption per user if we have 5,000,000 tokens and 1,000 users?

The average consumption is 5,000 tokens per user.

Analyze the feature efficiency for 1,000,000 tokens where Chat Interface used 600,000 and Summarization used 400,000.

The Chat Interface accounts for 60% of the total token usage, while the Summarization Engine accounts for 40%.

Calculate the savings if we have 1,000,000 tokens, a 20% optimization ratio, and a 30% cache hit ratio.

The net tokens processed is 560,000, resulting in a total savings of 44%.

You can use the `get_tier_cost_analysis` tool. It calculates the cost per user for each tier based on the total tokens, the price per million tokens, and the specific distribution of users and their usage within those tiers.

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