Regex from Examples MCP, Ready to Go
Use Regex from Examples with Claude or Cursor to turn raw data into validated regular expressions for scraping, logs, and data extraction.
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Generate production-ready regular expressions from raw data pairs.
Works with every AI agent you already use
…and any MCP-compatible client
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What AI agents can do with Regex from Examples: 3 Tools for Pattern Matching
Generate, evaluate, and analyze regex patterns using your own data examples.
Analyze pattern complexity
Classifies a regex pattern into its structural category. This helps you understand if your pattern is too broad or appropriately specific for your needs.
Evaluate pattern coverage
Provides a detailed breakdown of regex performance against your specific examples. You can see exactly which inputs match and which ones fall through the cracks.
Generate regex candidates
Analyzes your input-extraction pairs to produce a ranked list of regex candidates. It identifies the best patterns for strings, numbers, dates, and more based on your data.
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Every agent action is visible, approved, and auditable. Nothing runs outside your governance.
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Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.
Cost control per token
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Regex from Examples for Automated Data Extraction
This is for the developer or data engineer who spends hours staring at logs or trying to scrape inconsistent web data. It's for the person who needs 100% accuracy on data extraction but hates the manual labor of regex testing.
Data Engineer
Cleaning messy datasets for pipelines by identifying patterns in inconsistent logs.
QA Engineer
Writing automated tests for complex form validation and input sanitization.
Security Researcher
Identifying patterns in malicious traffic or system logs to flag threats.
Web Scraper
Extracting product info from diverse site layouts where data formatting varies.
Frequently Asked Questions
How does Regex from Examples help with web scraping? +
It helps you quickly build patterns to extract data from websites. By giving the agent a few examples of the text you want to grab, it generates the regex for you, handling all the tricky escaping and character matching automatically.
Can I use Regex from Examples to validate user input? +
Yes, it's perfect for that. You can provide examples of valid and invalid inputs to generate a regex that ensures your application only accepts the correct data formats.
Does Regex from Examples work for log files? +
It's one of the best ways to parse logs. You can feed the agent a few lines of your server logs, and it will generate a pattern to extract specific error codes, timestamps, or IP addresses.
How do I check if my regex is catching everything it should? +
You can use the coverage tool. Just provide your regex and a list of examples, and the MCP will give you a breakdown of exactly which items matched and which ones were missed.
Can Regex from Examples generate regex for phone numbers? +
Yes, it can. Because phone numbers often have different formats (dots, dashes, parentheses), providing a few examples allows the MCP to create a regex that handles those variations accurately.
Is Regex from Examples good for data cleaning? +
Absolutely. It's great for cleaning up messy datasets. You can use it to identify and extract specific patterns from unorganized text, making it much easier to move that data into a structured format.
How do I generate a regex? +
Use the generate_regex_candidates tool with your input and extraction pairs.
Can it handle email addresses? +
Yes, the engine detects structural patterns like email addresses using generate_regex_candidates.
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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