MCP Server Token Cost Estimator

Example Use Cases

• 1

  Estimate the cost of LLM inference on MCP servers before making requests.

• 2

  Analyze and optimize tool response sizes to reduce token usage and cost.

• 3

  For developers building MCP servers who want to provide transparent cost estimates to clients.

Description

This tool helps developers and clients estimate the token count and associated cost of requests made to MCP servers, which push LLM inference costs back to clients. It supports multiple token counting providers including OpenAI and Claude, allowing users to understand how different tools and models impact cost. By providing a tools configuration and server URL, users can get detailed token usage and cost estimates to optimize their usage and avoid unexpectedly high charges.