MCP For Claude Marketplace
LLM Token Counter

LLM Token Counter MCP Connector for Claude

A+

Calculate exact and estimated token counts for GPT-4, GPT-4o, Claude, and Llama models.

2 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

An essential utility for LLM developers to manage context windows. Use token_count to get precise token counts across multiple encodings like cl100k_base and o200k_base, or use analyze_complexity to evaluate text linguistic patterns. This MCP server helps you calculate chat template overhead and find optimal truncation points to prevent context overflow in models like GPT-4o and Claude.

tokensgpt-4gpt-4oclaudetokenization

2 tools expose this connector's capabilities to your AI agent.

token_count

Calculate character, word, and estimated token counts

analyze_complexity

Analyze text complexity and punctuation diversity

See how to talk to your AI agent using LLM Token Counter.

How many tokens are in the string 'Hello, world!' using o200k_base?

The string 'Hello, world!' contains 3 tokens using the o200k_base encoding.

Analyze the complexity of this text: 'The quick brown fox jumps over the lazy dog.'

The text has a complexity score of 1.2 and shows low punctuation diversity.

Calculate the overhead for a user message with content 'Hi' and role 'user'.

The total tokens for this message, including structural delimiters, is 5 tokens.

The server provides exact counts for `cl100k_base` (GPT-4) and `o200k_base` (GPT-4o), as well as approximations for Claude and SentencePiece-based models like Llama.

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