- MATCHES
- UNIQUE
- REVIEW
- CLEAN
Short answer
How can I deduplicate text lists with my AI?
Your agent uses similarity scoring to catch entries that aren't exact matches but are clearly the same thing. It flags these fuzzy duplicates so you can clean your data. Here is how it works.
The results of the scan.
Where your data lands.
The AI sorts your list into these four categories based on how closely the strings match.
MATCHES
Identified near-duplicates
The AI finds entries with high similarity scores. You get a list of items that are likely the same thing but have typos or different formatting.
UNIQUE
Confirmed distinct entries
Entries that don't trigger a similarity match are marked as unique. These are the items you can safely keep in your clean list.
REVIEW
Needs human eyes
When similarity scores are borderline, the AI flags them for you. You decide if these are actual duplicates or just similar-looking items.
CLEAN
Finalized dataset
Once you've reviewed the flags, you'll have a refined list. This is your final, deduplicated output ready for use.
The workflow
What your AI does when the list arrives.
Instead of looking for exact character matches, your agent calculates how similar two strings are.
Read the list
Your agent pulls the text data from your source to prepare for comparison.
analyze_string_metricsScore similarity
The AI runs similarity scoring on the strings to find fuzzy matches.
analyze_string_metricsCluster matches
The agent groups entries that have high similarity scores together.
analyze_string_metricsFlag outliers
The AI separates high-confidence duplicates from ambiguous entries that need your review.
analyze_string_metrics
Try it
Copy these to start.
Use these prompts to begin cleaning your data.
Starting points
Swap out the bracketed text for your actual file names or data sources.
String Analyzer Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_cB97ZdkNoybwfO5XIE4OQ5jshn2W4nG5oUaqdTPO/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — String Analyzer capabilities are ready to use.
{
"mcpServers": {
"string-metrics-analyzer-mcp": {
"url": "https://edge.vinkius.com/vk_preview_cB97ZdkNoybwfO5XIE4OQ5jshn2W4nG5oUaqdTPO/mcp"
}
}
}Find near-duplicates in the customer names in my Google Sheet.
Check this CSV file for duplicate email addresses using similarity scoring.
Scan the product list in my text file and flag entries that are almost the same.
Look through the contact list in my Notion database to find fuzzy matches.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect String Metrics Analyzer once, then ask.
Connect the MCP to your AI client with one click. Your credentials stay encrypted, and you can start deduplicating immediately.
Connect String Metrics Analyzer to your AIFAQ
How this task behaves.
- 01
Does the AI delete my original data?
No. The AI only reads your data to perform the analysis. It cannot modify or delete your files.
- 02
Can the AI fix the typos for me?
No. The AI identifies which strings are similar, but you have to perform the actual corrections.
- 03
How does it find duplicates that aren't exact matches?
It uses similarity scoring to find strings that are mathematically close, even if they have typos or different spacing.
- 04
Can I tell the AI to be more or less strict?
Yes. You can instruct your agent to only flag matches that meet a specific similarity threshold.
- 05
Will it work with my Excel spreadsheets?
Yes, as long as you can pass the spreadsheet data to your AI client.
More questions about String Metrics Analyzer? The Connector page answers them. See everything the String Metrics Analyzer Connector can do
Connect String Analyzer to Claude, Cursor, ChatGPT & more
