Token Cost Estimator

Token Cost Estimator MCP Connector for Claude

A+

Calculate precise LLM usage costs and optimization targets.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides deterministic tools for analyzing Large Language Model (LLM) expenditures. Use get_comprehensive_estimate to receive a full breakdown of input and output costs, unit economics, and optimization recommendations. It helps identify whether to focus on reducing prompt length or response length to minimize expenses.

llmtokenscost-analysisoptimizationpricing

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

get_exact_costs

Calculate specific financial breakdown

get_comprehensive_estimate

Full end-to-end cost analysis

get_usage_metrics

Calculate efficiency and scaling metrics

See how to talk to your AI agent using Token Cost Estimator.

Calculate the total cost for 5000 input tokens and 1000 output tokens where input cost is $0.005 per 1k and output cost is $0.015 per 1k.

The input cost is $0.025, the output cost is $0.015, and the total cost is $0.04.

Give me a full estimate for 10000 input tokens and 2000 output tokens at $0.01 per 1k input and $0.03 per 1k output.

The total cost is $0.16. The input cost is $0.10 and the output cost is $0.06. The optimization target is to reduce_output.

What is the cost per 100 requests if one request costs $0.05?

The cost for 100 requests is $5.00.

The calculations are deterministic and exact based on the token counts and unit prices provided to the `get_exact_costs` tool.

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