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Connect Regex from Examples 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. Turn text examples into working regular expressions instantly.

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 · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Regex from Examples.

  1. 01

    Analyze pattern complexity

    This capability classifies a regex pattern into its structural category. It helps you understand if a pattern is numeric, alphanumeric, or another specific type.

  2. 02

    Evaluate pattern coverage

    This capability provides a detailed breakdown of how a regex performs against your data. It shows you exactly which examples match and which ones fail.

  3. 03

    Generate regex candidates

    This capability analyzes your input and extraction pairs to produce the top three regex candidates. It identifies patterns for things like dates, emails, and specific number formats.

Real work

What teams actually run

01

Log Parsing

Provide sample log lines to generate patterns that extract timestamps or error codes.

02

Data Cleaning

Use example pairs to create regex for standardizing messy user input like phone numbers.

03

Input Validation

Generate precise patterns for web forms to ensure emails and dates are formatted correctly.

04

Pattern Verification

Test an existing regex against a set of known good and bad strings to check for errors.

One connector, every AI

Regex from Examples 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 Regex from Examples 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

727ms average. Fast in production.

Regex from Examples is checked daily against the live service.

Daily averagePeak 1101ms
Oct 3Today
Fastest day
522ms
Slowest day
1101ms
14-day trend
Slowing+10%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive 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 Regex from Examples, so you can see the experience inside your AI.

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

Regex from Examples Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_YGv100v0ig4t94DjJQKuIRFH5YGkMjflm2N34yYi/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 — Regex from Examples capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "regex-from-examples-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_YGv100v0ig4t94DjJQKuIRFH5YGkMjflm2N34yYi/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 Regex from Examples in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Regex from Examples owners hand off.

This MCP is built for technical professionals who need to extract or validate data using regular expressions without manual drafting.

  • 01

    Data Engineers

    They hand off raw data samples to the AI to generate cleaning patterns.

  • 02

    Software Developers

    They use it to quickly build input validation logic for new features.

  • 03

    DevOps Engineers

    They use the capability to create patterns for parsing system logs.

FAQ

Questions Regex from Examples owners ask.

  • 01

    How many regex options do I get?

    The MCP generates the top 3 regex candidates based on the examples you provide.

  • 02

    Can I test if my regex is too broad?

    Yes, you can use the complexity analysis capability to understand the specificity of your pattern.

  • 03

    How do I know if the regex matches my data?

    You can use the coverage capability to see a breakdown of which examples match or miss the pattern.

  • 04

    What kind of patterns can it generate?

    It can identify patterns for fixed strings, numbers, dates, emails, and other common formats.

  • 05

    Which AI clients can use this MCP?

    You can use this with any MCP-compatible client like Claude, Cursor, Windsurf, or VS Code.

  • 06

    How do I generate a regex?

    Use the generate_regex_candidates capability with your input and extraction pairs.

  • 07

    Can it handle email addresses?

    Yes, the engine detects structural patterns like email addresses using generate_regex_candidates.

  • 08

    How do I know if a regex is accurate?

    Use evaluate_pattern_coverage to check for matches and misses against your dataset.

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