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MCP Token Monitor

A Model Context Protocol (MCP) server that helps monitor token usage and prevent context window overflow during conversations with Claude.

Overview

A Model Context Protocol (MCP) server that helps monitor token usage and prevent context window overflow during conversations with Claude.

Key Features

  • Real-time token monitoring via Anthropic API
  • Smart threshold alerts (90% warning, 97.5% critical)
  • Context window percentage utilization tracking
  • Configurable monitoring settings and backup strategies

Technical Highlights

MCP Server Implementation

Built custom Model Context Protocol server for Claude integration

Anthropic API Integration

Real-time token counting using official Anthropic token counting API

Smart Alert System

Configurable threshold monitoring with actionable recommendations

Developer Tooling

CLI-based tools for token management and conversation analysis

Project Impact

Prevents context window overflow issues, enabling longer and more productive AI conversations through proactive token management.

Technologies

TypeScript
Node.js

Author

Krzysztof Poziomek