$ loading_
Count prompt tokens and estimate API costs for LLM chats.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Tokenomics MCP" yet — see the docs or source repo.
Count the tokens in this OpenAI prompt and estimate the API cost for the model.
Returns the exact token count and an estimated cost.
Count the tokens in this Claude prompt; if no API key is available, give an approximate estimate and label it as approximate.
Returns an approximate token count and cost estimate for Claude.
I’m about to send a long prompt; first count the tokens and tell me whether it fits my budget.
Outputs the token count, cost range, and whether it exceeds the budget.
Product managers, developers, or researchers can estimate token usage and cost before sending long prompts, avoiding budget or context-limit issues.
When choosing between OpenAI and Anthropic models, users can compare prompt costs directly to support model selection.
If no Anthropic API key is available, the tool can still provide approximate Claude token estimates for a quick cost preview.
It is an MCP-compatible tool for counting LLM prompt tokens and estimating API costs for OpenAI and Anthropic models.
The description explicitly mentions OpenAI and Anthropic models. It supports exact tokenization for OpenAI and approximate estimation for Claude when no API key is present.
Not necessarily. Without an Anthropic API key, the tool still provides an approximate Claude token estimate, but not an exact one.
Count tokens, estimate costs, optimize prompts, and compare LLM pricing.
Cut AI API costs dramatically with token measurement, compression, caching, and pruning.
Track LLM token usage, estimate costs, and monitor API requests via proxy.
Estimate Claude token usage, model costs, and caching break-even offline.
Compare AI model pricing, simulate costs, and get plan recommendations.
Rewrite rough prompts into optimized structured prompts for better LLM outputs.