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io.github.rccola990-cloud/mcp-token-optimizer

Official

by rccola990-cloud

Cut LLM token costs: count tokens, estimate cost, slim prompts, and pick the cheapest capable model.

io.github.rccola990-cloud/mcp-token-optimizer is a Model Context Protocol (MCP) server designed to optimize LLM token usage. It counts tokens, estimates costs, trims prompts, and selects the most cost-effective model capable of handling the task.

🛠️ Key Features

  • Count tokens for input and prompt segments
  • Estimate token costs across models
  • Slim prompts to reduce token overhead
  • Choose the cheapest model that meets the required capability

🚀 Use Cases

  • Cost-conscious LLM inference budgeting
  • Prompt optimization prior to model invocation
  • Dynamic model selection based on price and capability

⚡ Developer Benefits

  • Clear token- and cost-oriented tooling for MCP pipelines
  • Straightforward integration points for token counting and cost estimation
  • Helps balance performance and expense in model orchestration

⚠️ Limitations

  • Based on token counting and cost estimates; real-world costs may vary by provider and model
  • Requires accurate model capability assessment to avoid underpowered selections
io.github.rccola990-cloud/mcp-token-optimizer - agentage MCP Catalog