com.clawhard/tokendietv1.1.0 Domain verified
Count tokens exactly for any text and see if it fits a 128K, 200K or 1M context window.
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Try it
Call this server's tools from your browser. Nothing to install.
https://tokendiet.clawhard.com/mcp
Requests go through mcptry because browsers can't call most MCP servers directly. Header values are sent to the server for that request only and are never stored or logged.
Tool list from our last check. Connect live to refresh it.
tokendiet_count_tokens Read-only
Use when the user asks how many tokens a text, prompt, log, document or code paste is, whether it fits a context window (128K, 200K, 1M), or how big something is before they send it to an AI. Returns the exact o200k token count (GPT-4o family and later; Claude and Gemini usually within about 15%), plus words, characters and how much of each window it uses. Language models cannot count their own tokens, so call this instead of estimating. Example: {"text": "<the text to measure>"}. Not for shortening text.
The text to count (up to 200,000 characters).
Install
Pick your client. Values in capitals, like YOUR_TOKEN, are yours to fill in.
Run in a terminal
claude mcp add --transport http tokendiet https://tokendiet.clawhard.com/mcp
Tools (1)
tokendiet_count_tokensUse when the user asks how many tokens a text, prompt, log, document or code paste is, whether it fits a context window (128K, 200K, 1M), or how big something is before they send it to an AI. Returns the exact o200k token count (GPT-4o family and later; Claude and Gemini usually within about 15%), plus words, characters and how much of each window it uses. Language models cannot count their own tokens, so call this instead of estimating. Example: {"text": "<the text to measure>"}. Not for shortening text.
read-only
tokendiet_count_tokens
Use when the user asks how many tokens a text, prompt, log, document or code paste is, whether it fits a context window (128K, 200K, 1M), or how big something is before they send it to an AI. Returns the exact o200k token count (GPT-4o family and later; Claude and Gemini usually within about 15%), plus words, characters and how much of each window it uses. Language models cannot count their own tokens, so call this instead of estimating. Example: {"text": "<the text to measure>"}. Not for shortening text.