# Regex Tester Batch MCP for AI Agents MCP

> Regex Tester Batch is a high-performance tool for developers to test regular expressions against large datasets instantly. It handles up to 1,000 strings in a single pass, providing detailed match metadata like capture groups and positions. Use it to validate syntax, check engine flags, and ensure your patterns work before you deploy them into production code.

## Overview
- **Category:** developer-tools
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_sbxRl3H3NNQQXRBh8P1kou8Jv2XXYSnwwsxcuFgC/mcp
- **Tags:** regex, javascript, testing, batch-processing, validation

## Description

Regex Tester Batch lets you run complex regular expression patterns against massive lists of data without having to write custom scripts or manual test cases. If you're tired of copy-pasting strings into a browser one by one, this MCP handles the heavy lifting. You can throw a batch of up to 1,000 strings at a single pattern and get back a clean breakdown of every match, including specific capture groups and positions. It's built for speed and accuracy, making it a staple for anyone who needs to verify data extraction logic quickly. You can also use it to double-check that your regex syntax is actually valid before you try to run it against a production database, or just peek at which flags the engine currently supports. By adding this to your Vinkius catalog, you give your AI client the ability to act as a rigorous QA engineer for your data patterns, ensuring your logic holds up against edge cases in seconds.

## Tools

### get_supported_flag
See which regex flags are currently active and supported by the engine. This helps you avoid compatibility errors.

### run_regex_batch
Execute a single regex pattern against a collection of up to 1,000 strings. It returns match status and positions.

### validate_regex_syntax
Check the structural integrity of your regex pattern and its flags. Use this to catch errors before deployment.

## Prompt Examples

**Prompt:** 
```
Does this pattern /^[A-Z]{3}-\d{4}$/ match all these IDs: ['ABC-1234', 'abc-1234', 'ABC-12345']?
```

**Response:** 
```
I've run the batch test for you. Here are the results:

| Input | Match Status | Notes |
| :--- | :--- | :--- |
| ABC-1234 | **Match** | Found at position 0 |
| abc-1234 | **No Match** | Case sensitivity issue |
| ABC-12345 | **No Match** | Too many digits

It looks like your pattern is correctly identifying the uppercase format with 4 digits.
```

**Prompt:** 
```
Check if my regex /[\w\.-]+@[\w\.-]+\.\w+/ is valid.
```

**Response:** 
```
I've checked the syntax for you.

**Status:** Valid

Your pattern is structurally sound and ready to use. It correctly follows the standard format for identifying email addresses with letters, numbers, and common symbols.
```

**Prompt:** 
```
Run a batch test for the pattern (\d+) against this list of prices: ['$10', '$20', 'free', '$30'].
```

**Response:** 
```
I've processed that list. Here's what I found:

* **$10**: Match found (Group 1: 10)
* **$20**: Match found (Group 1: 20)
* **free**: No match
* **$30**: Match found (Group 1: 30)

Three out of four items matched the digit pattern.
```

## Capabilities

### Run bulk regex tests
Process a single pattern against hundreds of strings in one go.

### Validate regex syntax
Check if your pattern is structurally sound before you run it.

### Extract capture groups
Get detailed metadata on specific parts of your matched strings.

### Identify match positions
See exactly where in the string your pattern found a match.

### Check engine flags
Verify which flags are currently active and supported by the engine.

## Use Cases

### Validating a new user registration pattern
A developer needs to ensure a new email validation regex works against 500 old email formats to prevent breaking existing accounts.

### Checking a scraping regex
A scraper is missing product IDs from a messy HTML dump. The user asks the agent to run a batch test to see which IDs are being skipped.

### Verifying a log parser
An engineer is building a log parser and needs to verify that the regex doesn't break on unexpected date formats in a large log file.

### Testing a phone number validator
A data analyst tests a phone number validator against a global list of international numbers to ensure proper formatting.

## Benefits

- Stop manual testing by using run_regex_batch to test hundreds of strings in one go.
- Prevent runtime errors by checking your pattern with validate_regex_syntax before deployment.
- Get precise data with run_regex_batch returning specific capture groups and match positions.
- Avoid compatibility issues by checking active flags with get_supported_flag.
- Save hours of debugging by identifying failing strings in a batch immediately.

## How It Works

The bottom line is you get instant, bulk validation of your regex logic without manual testing.

1. Provide your AI client with a regex pattern and a list of strings to test.
2. The MCP processes the batch and checks every string against the pattern.
3. You get a structured report showing which strings matched and where.

## Frequently Asked Questions

**Can Regex Tester Batch handle large lists?**
Yes, it can process up to 1,000 strings in a single request. This makes it great for checking large CSV exports or log files without needing to run multiple requests.

**Does it show where the matches are?**
Yes, it returns the specific positions and capture groups for every match. You'll know exactly what part of the string was caught by your pattern.

**How do I know if my regex is valid?**
You can use the syntax validation tool to check for errors. It confirms your pattern is structurally sound before you try to run it against your actual data.

**Can I test different flags?**
Yes, you can see which flags are supported by the engine. This helps you ensure your patterns will work in your specific environment before you deploy them.

**Is this good for data cleaning?**
It's perfect for that. You can quickly see which rows in a messy dataset meet your criteria and which ones don't, helping you filter out the noise faster.

**Can I use it for web scraping?**
Yes, it's a great way to test your extraction patterns against a large sample of scraped HTML before you write your final script.

**How many strings can I test at once?**
You can test up to 1000 strings in a single batch execution using `run_regex_batch`.

**Does it support Unicode?**
Yes, by using the "u" flag, you can perform Unicode-aware matching.

**Can I check if my regex is valid without running a batch?**
Yes, use the `validate_regex_syntax` tool for pre-flight syntax checks.