Special Character Token Analyzer

Special Character Token Analyzer MCP Connector for Claude

A+

Analyze the impact of special characters on tokenization density.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides deterministic analysis of how special characters affect tokenization weight. It calculates the density of emojis, accented characters, punctuation, and symbols to estimate their impact on LLM token counts. Use analyze_text_density for a full breakdown of weighted token contributions, get_category_counts to isolate specific character types, or validate_character_coverage for a quick check of special character presence.

tokensunicodeemojistext-densityanalysis

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

analyze_text_density

Perform a full breakdown of special character counts and their resulting token weights

get_category_counts

Retrieve raw counts of a specific character category

validate_character_coverage

Verify if a string contains any special characters

See how to talk to your AI agent using Special Character Token Analyzer.

Analyze the token density of the text: 'Hello! 😊 ©'

emoji_count: 1, accented_count: 0, punctuation_count: 1, symbol_count: 1, total_special_tokens: 5.0, special_ratio: 1.25

Does this text have special characters: 'Standard text'

has_special_characters: false, total_detected_count: 0

How many accented characters are in 'Café'?

category: accented, count: 1

Each emoji is weighted as being equivalent to two tokens.

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