Duplicate Line Detector

Duplicate Line Detector MCP Connector for Claude

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Identify redundant lines in text and calculate token savings.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides tools to analyze multi-line text for redundancy. Use analyze_text_redundancy to get a full redundancy profile, including duplicate counts and estimated token savings. Use get_line_frequency_map to see which specific lines are repeated, or summarize_deduplication_impact to calculate the efficiency gain from removing duplicates.

deduplicationtext-analysistoken-optimizationredundancyefficiency

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

get_line_frequency_map

Maps each unique line to its frequency of occurrence

summarize_deduplication_impact

Summarizes the efficiency gain and redundancy percentage

analyze_text_redundancy

Analyzes the redundancy profile of a multi-line text block

See how to talk to your AI agent using Duplicate Line Detector.

Analyze this text for redundancy: 'Hello\nWorld\nHello\nAgain\nWorld'

The text contains 5 total lines, with 3 unique lines and 2 duplicate lines. The duplicate ratio is 0.4, and you would save approximately 2 tokens if deduplicated.

Which lines are repeated in: 'apple\nbanana\napple\ncherry\nbanana\napple'

The line 'apple' appears 3 times and the line 'banana' appears 2 times.

What is the efficiency gain for a text with 100 lines and 25 unique lines?

The efficiency gain is 0.25.

The tool estimates token savings by multiplying the number of duplicate lines by the average number of tokens per line, using a standard of four characters per token.

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