- MATCHED
- FAILED
- RAW
- HUMAN
Short answer
How can I check if my data matches a specific pattern?
Your AI uses the extract_regex_matches tool to scan text for specific sequences like IPv4 addresses, email formats, or custom IDs. This ensures your data stays clean and follows your rules. You'll see the exact matches or failures immediately.
The results.
Where your data ends up.
The AI processes your strings and routes the results based on what it finds.
MATCHED
Clean, extracted data
The AI finds every instance that fits your pattern. You get a clean list of valid strings ready for use.
FAILED
Validation errors
If a string doesn't match your regex, the AI flags it. You'll know exactly which inputs broke your rules.
RAW
Unfiltered input
The AI identifies parts of a text block that don't match any provided pattern. This helps you find noise in your data.
HUMAN
Manual review needed
When patterns are ambiguous or overlapping, the AI hands the decision to you. You decide how to handle edge cases.
The workflow
What your AI does when data arrives.
The AI acts as a gatekeeper, checking every character against your defined logic.
Pattern definition
You tell the AI what a valid string looks like, such as a specific token format or an IP address.
extract_regex_matchesPattern scanning
The AI runs the regex against your provided text or file content to find matches.
extract_regex_matchesData extraction
The AI pulls the specific matching substrings out of the larger text block.
extract_regex_matchesFormat verification
The AI compares the results against your requirements to confirm they are strictly valid.
extract_regex_matches
Try it
Copy these to start.
Use these prompts to trigger the validation process.
Starting points
Swap out the bracketed text for your actual data sources like a CSV file, a Slack message, or a code snippet.
JavaScript RegExp Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_RbVwkUPYk0l8B1BdJwZ5IZLoTsnwQomhtwlsmL1c/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — JavaScript RegExp capabilities are ready to use.
{
"mcpServers": {
"regex-extractor-engine-mcp": {
"url": "https://edge.vinkius.com/vk_preview_RbVwkUPYk0l8B1BdJwZ5IZLoTsnwQomhtwlsmL1c/mcp"
}
}
}Check this Slack message for any IPv4 addresses using regex.
Extract all custom transaction IDs from this CSV file.
Verify if the tokens in this GitHub commit follow the pattern [A-Z]{3}-\d{4}.
Scan this log file and pull out all email addresses found in the entries.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Regex Extractor Engine once, then ask.
Just link the MCP to your client. Your credentials stay encrypted, and you can start running regex tasks immediately.
Connect Regex Extractor Engine to your AIFAQ
How this task behaves.
- 01
Can the AI fix a string that doesn't match the pattern?
No. The AI only identifies and extracts matches. It does not rewrite or modify your original data.
- 02
Does the AI store the data it scans?
No. The AI processes the data in real time to find matches and does not save your input strings.
- 03
Can I use complex regex patterns?
Yes. You can provide any standard regex pattern to the AI, and it will use that to perform the extraction.
- 04
What happens if a string matches two different patterns?
The AI will report both matches. You will need to decide which one is the correct one for your needs.
- 05
Can the AI delete invalid data from my files?
No. This MCP is for extraction and validation only. It has no capability to delete or edit your files.
More questions about Regex Extractor Engine? The Connector page answers them. See everything the Regex Extractor Engine Connector can do
Connect JavaScript RegExp to Claude, Cursor, ChatGPT & more
