MCP For Claude Marketplace
String Operations Engine

String Operations Engine MCP Connector for Claude

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Equip your AI with deterministic text manipulation. Instantly format casings (camelCase, PascalCase, slugify), truncate safely, and count exact characters local.

3 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

While Large Language Models excel at generating natural text, they often struggle with rigid programmatic constraints. They notoriously hallucinate character counts (especially for SEO or Twitter limits) and occasionally break code casings. The String Operations Engine MCP delegates these strict text formatting tasks to a pure JavaScript core.

The Superpowers

  • Exact Text Metrics: Get 100% accurate character, word, and line counts. Perfect for validating Twitter length, SEO meta descriptions, or database constraints.
  • Programmatic Casing: Flawlessly convert any messy string into camelCase, PascalCase, snake_case, kebab-case, or SEO-friendly URL slugify.
  • Safe Truncation: Truncate large text blobs precisely without LLM summarization artifacts.
  • Privacy First (Local): Executes 100% locally. Zero API calls, meaning your sensitive proprietary text never leaves your machine.
string-manipulationtext-formattingslugifycasing-conversiontext-truncation

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

change_casing

Converts text into specific programmatic casings (camelCase, PascalCase, snake_case, kebab-case, or URL slugify)

get_text_stats

g., SEO limits, Twitter character limits). Calculates exact word count, character count, and line count for a given text

truncate_text

Safely truncates a string to a specific character length, appending an optional suffix

See how to talk to your AI agent using String Operations Engine.

I need a clean URL slug for this article title: '10 Secrets for Fast & Reliable Database Scaling!'.

Using the change_casing tool (format='slugify'): The result is '10-secrets-for-fast-reliable-database-scaling'.

Convert the text 'user account profile settings' into camelCase for my React component.

Using the change_casing tool (format='camelcase'): The result is 'userAccountProfileSettings'.

Count the exact number of characters in this SEO meta description to ensure it's under 160 chars.

Using the get_text_stats tool: The text has 142 characters (120 without spaces) and exactly 23 words.

Because LLMs process tokens, not individual letters or words. If you ask an LLM to generate exactly 250 characters, it will guess and often fail. This MCP provides a deterministic mathematical check to guarantee exact limits.

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