• MATCHED
  • FUZZY
  • NO MATCH
  • HUMAN

How to fix misspelled search queries with your AI

Connect this MCP to your AI client to handle messy user input. It turns typos into valid matches automatically.

Ask AI about this page

Short answer

How do I fix typos in search queries using AI?

Your AI compares the misspelled string against your list of valid products or tags. It identifies the closest match and returns the correct term. You'll see how the matching logic works below.

Match outcomes.

Where the results land.

The AI processes the input and routes the results based on how close the match is.

MATCHED

Direct product matches

The AI finds a high-confidence match in your list. It returns the exact product name or tag you need.

FUZZY

Close call suggestions

The input is close but not perfect. The AI identifies the nearest valid option for you to review.

NO MATCH

Unrecognized input

The typo is too far from any valid entry. The AI flags these for you to handle manually.

HUMAN

Manual review needed

When the distance is too high, the AI stops. You decide if a new tag should be created or if the user needs a prompt.

The workflow

What your AI does when a typo arrives.

The AI acts as a filter between messy user input and your clean data.

  1. Receive input

    Your AI client receives the raw, misspelled string from the user search bar.

    levenshtein_distance

  2. Calculate distance

    The AI runs the string against your predefined list of valid tags or products.

    levenshtein_distance

  3. Find closest match

    The engine identifies which valid entry has the smallest edit distance to the typo.

    levenshtein_distance

  4. Return correction

    The AI provides the corrected string to your application or chat interface.

    levenshtein_distance

Try it

Copy these to start.

Use these prompts to test the matching logic with your data.

Starting points

Replace the bracketed text with your actual product list or specific search terms.

Levenshtein Distance Engine Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_bxYczImxX08vGJbFf0KWMliJRUpfSAhrPHLJOLpS/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Levenshtein Distance Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "levenshtein-distance-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_bxYczImxX08vGJbFf0KWMliJRUpfSAhrPHLJOLpS/mcp"
    }
  }
}
Copy into chat04

  • Using the Levenshtein Distance Engine, find the closest match for 'iphne' in my product list: [iPhone, Samsung, Pixel].

  • Check this list of tags: [blue, red, green]. What is the closest match for the typo 'bleu'?

  • I have a list of SKU numbers. Use the distance tool to find the correct SKU for 'A123-X' when the user typed 'A123X'.

  • Compare the user input 't-shirt' against my inventory list and tell me if there is a close match.

  • Claude
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  • JetBrains
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Start here

Connect Levenshtein Distance Engine once, then ask.

Just one connection links this tool to your agent. Your credentials stay encrypted and secure on our side.

Connect Levenshtein Distance Engine to your AI

FAQ

How this task behaves.

  • 01

    Does the AI automatically update my product list?

    No. The AI only reads your list to find matches. It cannot add or delete items from your database.

  • 02

    Can the AI fix typos in my database?

    No. The tool only suggests the correct spelling based on the distance between the typo and your existing data.

  • 03

    How does it decide what a 'close' match is?

    It uses the Levenshtein distance, which counts the minimum number of single-character edits required to change one word into another.

  • 04

    What happens if the typo is completely different from my products?

    The AI will report that no close match was found. It won't guess wildly if the distance is too high.

  • 05

    Can I use this for more than just product names?

    Yes. You can provide any list, such as category tags, user IDs, or SKU numbers, for the AI to match against.

  • More questions about Levenshtein Distance Engine? The Connector page answers them. See everything the Levenshtein Distance Engine Connector can do

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