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Connect Fuzzy Match Search to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Stop wasting tokens on manual string matching.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 1 capability

We ship only the actions that matter.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through Fuzzysort Engine.

  1. 01

    Fuzzy match

    This capability takes a search query and a JSON array to find and rank the most similar strings. It uses fuzzy algorithms to return matches based on their similarity score.

Real work

What teams actually run

01

Data Deduplication

Identify duplicate customer entries that have slight spelling variations.

02

Customer Lookup

Find the correct account when a user provides a misspelled name or email.

03

Command Matching

Match user input against a list of valid commands or keywords.

04

Dataset Cleaning

Standardize messy text data by finding the intended target string.

Automate a task

Put Fuzzysort Engine to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Fuzzysort Engine works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Fuzzysort Engine to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

847ms average. Fast in production.

Fuzzysort Engine is checked daily against the live service.

Daily averagePeak 1001ms
Oct 3Today
Fastest day
599ms
Slowest day
1001ms
14-day trend
Stable+4%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Fuzzysort Engine, so you can see the experience inside your AI.

It does not authenticate your account with Fuzzysort Engine. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Fuzzysort Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_DkpuRLuutTxtIkWOTeAXLMpDF4nvPu7Mlg4TSviD/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 — Fuzzysort Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "fuzzy-match-search-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_DkpuRLuutTxtIkWOTeAXLMpDF4nvPu7Mlg4TSviD/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Fuzzysort Engine in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Fuzzysort Engine owners hand off.

Developers and data analysts who need to clean or query messy datasets using AI agents.

  • 01

    Data Engineers

    They use it to deduplicate records or find matching entries in large databases.

  • 02

    Software Developers

    They offload string comparison logic from their LLM prompts to this MCP.

  • 03

    AI Agents

    They use the capability to perform precise lookups without consuming excessive context.

FAQ

Questions Fuzzysort Engine owners ask.

  • 01

    How does this MCP save me money?

    It prevents you from sending huge lists of text to your AI client. By doing the search locally, you avoid paying for thousands of unnecessary tokens.

  • 02

    What happens if the name is misspelled?

    The fuzzy matching algorithm calculates the distance between the query and the target. It will find the closest match even if there are typos.

  • 03

    Can I use this with Cursor or Claude?

    Yes, this MCP works with any MCP-compatible client including Claude, Cursor, and Windsurf.

  • 04

    Is it fast enough for 10,000 items?

    Yes, the engine is designed to process large arrays instantly using native runtime execution.

  • 05

    Do I need to host this myself?

    No, Vinkius hosts and manages the MCP for you. You just connect and use it.

  • 06

    How fast is it?

    It uses fuzzysort, which can process 100k strings in a few milliseconds.

  • 07

    Does it return a score?

    Yes, it returns a similarity score where numbers closer to 0 indicate a better match.

  • 08

    Does it highlight the match?

    Yes, it wraps the matched characters in HTML bold tags.

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