io.github.vpatser1/ai-cost-analyzer — Model Context Protocol (MCP) Server
The io.github.vpatser1/ai-cost-analyzer MCP server provides capabilities to analyze LLM API costs. It focuses on detecting token waste, estimating potential caching savings, and comparing models based on cost-related factors for developers working with language model usage.
🛠️ Key Features
- Analyze LLM API costs
- Detect token waste
- Estimate caching savings
- Compare models for cost
🚀 Use Cases
- Identify inefficient token usage in LLM API calls
- Evaluate whether caching would reduce spend
- Compare alternative LLM models using cost analysis
⚡ Developer Benefits
- Cost-focused insights for LLM API usage
- Practical estimates to support model and caching decisions
⚠️ Limitations
- Available information only confirms cost analysis features (token waste, caching savings estimates, model comparison); no additional implementation details are provided.