MCP For Claude Marketplace
Context Window Utilization Analyzer

Context Window Utilization Analyzer MCP Connector for Claude

A+

A deterministic tool for tracking and predicting AI context window exhaustion.

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

This MCP server provides precise tools to monitor and predict the exhaustion of Large Language Model (LLM) context windows. By analyzing system prompts, tool definitions, and conversation history, it calculates real-time utilization and provides proactive recommendations. Use calculate_utilization to get a full report on remaining tokens and turns until capacity is reached, or get_utilization_status for a quick health check. It is designed to help users manage context pressure before truncation occurs.

context-windowtoken-trackingllm-managementai-efficiencypredictive-analysis

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

calculate_utilization

Performs the primary deterministic calculation of current and projected context usage

get_utilization_status

Provides a high-level summary of the current context health

predict_capacity_exhaustion

Estimates how much "breathing room" remains based on varying conversation intensity

See how to talk to your AI agent using Context Window Utilization Analyzer.

How much context do I have left in my current session?

You have 4,500 tokens remaining in your context window, which is approximately 22 turns of conversation left.

Check my current context health.

Your current context utilization is 45%, which is considered Healthy.

Is my context window nearing capacity?

Yes, your utilization is at 85%. The recommended action is to Compress Now.

The `calculate_utilization` tool subtracts the sum of all input tokens (system prompt, tool definitions, and history) and the expected output buffer from the total model context window.

Related Connectors

Context Window Economics Optimizer

Context Window Economics Optimizer MCP

4 tools Official

Calculate the financial and performance impact of LLM context management strategies.

A+ View details →
Context Window Optimizer

Context Window Optimizer MCP

3 tools Official

Optimizes LLM context windows by selecting the most relevant and recent information within token limits.

A+ View details →
Context Cache Invalidation Detector

Context Cache Invalidation Detector MCP

3 tools Official

Detects context loss and reasoning drift caused by aggressive prompt caching.

A+ View details →
NEW
Service Utilization

Service Utilization MCP

4 tools Official

Measure resource efficiency by calculating booked versus available hours.

A+ View details →