Token-aware message truncation: fit a chat history into your model's context budget.
MCP server for . Lets Claude Desktop, Cursor, Cline, Windsurf, Zed, or any other MCP client estimate token counts and fit a chat history into a model's context budget on demand. — estimate tokens in a string or chat-message array, with per-model estimator families (openai, anthropic, google, llama, default). — drop messages from a chat history until under a budget. Supports drop-oldest,…
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MCP server for . Lets Claude Desktop, Cursor, Cline, Windsurf, Zed, or any other MCP client estimate token counts and fit a chat history into a model's context budget on demand. ** — estimate tokens in a string or chat-message array, with per-model estimator families (openai, anthropic, google, llama, default). — drop messages from a chat history until under a budget. Supports drop-oldest, drop-middle, and priority strategies; honors , , . — list the built-in estimator families. Edit (macOS) or…