MCP For Claude Marketplace
Reasoning Model Economics

Reasoning Model Economics MCP Connector for Claude

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Financial modeling for reasoning-intensive LLM economics.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides specialized financial modeling tools for analyzing the economic impact of Large Language Models that utilize intensive chain-of-thought reasoning. It allows users to calculate the total cost of a query using calculate_query_cost, evaluate financial health with analyze_profit_margin, determine ideal price points via optimize_pricing_structure, and predict cost growth as complexity increases through evaluate_scaling_efficiency.

llmreasoningeconomicspricingprofit-analysis

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

evaluate_scaling_efficiency

Predicts how costs change as the complexity of the model increases

optimize_pricing_structure

Suggests a target price to achieve a specific desired profit margin

analyze_profit_margin

Evaluates the financial health of a specific pricing setup

calculate_query_cost

Determines the total cost to the provider for a single user query

See how to talk to your AI agent using Reasoning Model Economics.

What is the total cost for 50 reasoning steps at $0.01 per step with a 10-second query duration?

The total cost for the query is $0.50, which includes the raw compute cost and the chain-of-thought overhead.

If my cost per query is $0.25, what should I charge to get a 40% profit margin?

To achieve a 40% profit margin with a cost of $0.25, the suggested price is $0.42.

Calculate the margin if I charge $1.00 for a query that costs $0.60 to serve.

The profit per query is $0.40, resulting in a profit margin of 40%.

You can use the `calculate_query_cost` tool by providing the number of reasoning steps, the compute cost per step, and the total duration of the query.

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