context-optimizer-mcp
0
Context Optimizer MCP is a server that enhances context management for large chat histories by using Redis and in-memory caching. It is compatible with the Anthropic API and provides additional features such as automatic summarization and performance metrics.
Context Optimizer MCP
An MCP server designed to optimize and extend context windows for large chat histories using Redis and in-memory caching.
Features
- Dual-layer caching with in-memory LRU and Redis storage
- Smart context management with automatic summarization
- Redis-based rate limiting
- Compatibility with Anthropic API
- Built-in performance metrics
How It Works
- Acts as middleware between applications and LLMs
- Optimizes context windows and manages caching
Getting Started
- Requires Node.js 18+, Redis, and an Anthropic API key
- Can be installed via MCP client, manually, or using Docker
Configuration
- Configuration through
.envfile
API Usage
- Compatible with Claude API plus additional features
Testing
- Includes a test script for context optimization
Advanced Features
- Automatic summarization and conversation continuity
Performance Considerations
- Utilizes in-memory cache for speed and Redis for persistence
Documentation
- Additional docs available in
docs/directory
License
- MIT License