LLM Context Window Budgeter MCP Connector for Claude
BMonitor and predict LLM context window exhaustion with precision token forecasting.
The LLM Context Window Budgeter is a specialized utility designed to prevent session failures by tracking the remaining input-token budget in Large Language Models. By analyzing your system prompt, conversation history, and reserved output tokens, it provides real-time metrics on context consumption. Use calculate_budget_status to see exactly how much space remains, estimate_remaining_turns to forecast when you will hit the limit based on message size, and analyze_context_risk to receive actionable recommendations like summarization or truncation strategies.
Available Tools
your_tool_name
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