Count Words for Agents MCP Connector for Claude
A+Text analysis tool that counts words, characters, sentences, and paragraphs. Validates maximum length constraints so AI agents can generate text that strictly respects exact limits.
Goal: Provide exact text measurement to prevent agent hallucinations regarding length limits.
Problem: LLMs cannot natively count characters or words accurately. When given constraints like 'write a 280-character tweet' or 'summarize in under 500 words', agents often fail or hallucinate the counts. This breaks downstream automation workflows.
Mechanism: This MCP equips agents with deterministic validation tools. It calculates exact metrics for words, characters (with/without spaces), sentences, and paragraphs. Furthermore, passing the max parameter enables server-side threshold validation, instantly returning boolean pass metrics and remaining capacity.
Advantage: Agents can self-correct before outputting final responses. By validating their drafts against hard constraints, you guarantee compliance for SEO descriptions, social media APIs, and strict formatting guidelines.
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