MCP For Claude Marketplace
Token Budget Remaining Calculator

Token Budget Remaining Calculator MCP Connector for Claude

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Monitor and manage token consumption to prevent context window overflows.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides deterministic tools to monitor and manage token consumption against predefined limits. It helps prevent context window overflows by calculating remaining budget, usage percentages, and identifying high-impact components. Use calculate_budget_status to get a full snapshot of consumption, get_component_breakdown to see which parts of your prompt are most expensive, and validate_safety_margin to ensure your reserved tokens are sufficient.

tokensbudgetcontext-windowmonitoringllm

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

calculate_budget_status

Provides a comprehensive snapshot of the current token consumption, remaining capacity, and critical usage flags

get_component_breakdown

Identifies which specific parts of the prompt are the most expensive in terms of token consumption

validate_safety_margin

Checks if the current reserved tokens are sufficient to prevent a budget overrun

See how to talk to your AI agent using Token Budget Remaining Calculator.

Check my current token status. I have a 10,000 token budget, I've used 4,000 tokens in the system message and 2,000 in the user query, and I want to reserve 1,000 tokens.

Total used: 6,000. Budget remaining: 3,000. Usage: 60%. Largest component: system message. Components over budget: 0. Available for output: 1,500.

Is my current safety margin sufficient? My budget is 8,000, I've used 6,500 tokens, and I have 1,000 tokens reserved.

No, the safety margin is insufficient. The remaining budget after reservation is -500 tokens.

Show me the breakdown of my token usage for these components: System (5000), User (3000), and RAG (1500).

Total used: 9,500. Component list: System (5,000), User (3,000), RAG (1,500).

By using `calculate_budget_status`, you can track exactly how many tokens are left and receive critical alerts if your usage exceeds 90% or if your budget is exhausted.

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