# Phone Validator Engine MCP for AI Agents AI Agent Connect > Phone Validator Engine fixes messy phone numbers and converts them to the E.164 standard. It stops your AI from guessing formats and ensures every number is actually valid before you try to send a text or make a call. ## Overview - **Category:** developer-tools - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_a4rO76QU4hpaLVzku0ujm4wJySTCbzZmujpGIE88/ai-agent-connect - **Tags:** phone-validation, e164, data-cleaning, formatting, telecom, input-sanitization ## Description This phone validation tool fixes messy phone numbers and converts them to the E.164 standard. You know the headache of getting a list of numbers from a user and having to figure out which ones are real. Some people put in plus signs, some don't. Some include parentheses, others don't. If you're trying to send an SMS or set up a VOIP call, those tiny formatting errors can break your whole workflow. This tool handles that mess for you by using a professional library to do the heavy lifting. It takes any chaotic string and turns it into a mathematically perfect E.164 number. It also checks if the number is actually valid for the country you expect. You'll stop worrying about your agent making up fake numbers or formatting them in a way that your provider rejects. It's a huge relief to have this level of data integrity when you're building production-ready tools. You can find this and thousands of other tools in the Vinkius catalog to keep your data clean. It makes your agent much more reliable for tasks like building a notification system or cleaning up a massive lead list from a CSV where everyone typed their numbers differently. Instead of you having to write complex regular expressions for every country, the engine already knows the rules. It handles the logic so you can focus on the actual task at hand. It's a great way to ensure that your data is ready for platforms like Twilio or Zenvia without any manual cleanup. ## Tools ### validate_phone Send a raw string to get a clean E.164 number and carrier info. This tool ensures your data meets global telecom standards and filters out invalid entries. ## Prompt Examples **Prompt:** ``` Clean and format this messy user input into an E.164 phone number: '+44 (0) 20 7946 0958' ``` **Response:** ``` ✅ **Result:** Perfectly mapped to E.164 format: `+442079460958` ``` **Prompt:** ``` Check if the input `11 98888-0000` is structurally valid, assuming the default country is Brazil (`BR`). ``` **Response:** ``` ✅ **Validation Status:** Valid. - **Country:** `BR` - **E.164:** `+5511988880000` ``` **Prompt:** ``` Extract the Alpha-2 Country Code from this international number: `+1-415-555-2671`. ``` **Response:** ``` ✅ **Country Identified:** The number strictly belongs to `US` (United States). ``` ## Capabilities ### Convert messy inputs to E.164 format Turns chaotic strings with spaces and symbols into clean, standard phone numbers. ### Verify international country codes Checks if a number belongs to the country you expect and identifies the correct code. ### Detect fake or invalid numbers Identifies numbers that don't follow real-world telecom structures immediately. ### Identify carrier types Provides information on the carrier type for a specific phone number. ### Clean up extra characters Automatically strips out parentheses, dashes, and leading zeros from user input. ## Use Cases ### The Messy Lead List A user uploads a CSV of 500 leads. The agent uses validate_phone to clean every entry so the CRM isn't cluttered with different formats for the same phone number. ### The SMS Gateway A user wants to send a verification code. The agent validates the number via validate_phone first to ensure the SMS won't bounce due to an incorrect country code. ### The International Expansion A company is launching in Brazil. The agent checks if a user's input is a valid Brazilian mobile number using the default country code logic. ### The Data Scrub A developer needs to find all numbers in a block of text. The agent extracts them and uses validate_phone to identify which ones are actually valid. ## Benefits - You stop losing money on failed SMS sends because validate_phone catches bad numbers before they hit your provider. - Your data stays clean because validate_phone automatically strips out spaces, dashes, and parentheses from messy user input. - You get reliable country identification so your agent knows exactly which international rules to follow for a specific number. - You avoid hallucinated numbers because the engine checks the structure of the input against real-world telecom patterns. - You save hours of manual data entry by letting the agent batch-format thousands of international numbers into a single standard. ## How It Works The bottom line is you get usable, standardized phone data every single time. 1. Provide the raw phone string and an optional country code to your agent. 2. The engine checks the number against global telecom standards for structure and country. 3. You get back a clean, validated E.164 string along with carrier and country data. ## Frequently Asked Questions **Can Phone Validator Engine handle international numbers?** Yes, it supports global phone standards. It can identify country codes and validate the structure for numbers from all over the world. **Does Phone Validator Engine fix numbers with spaces or dashes?** Yes, it automatically strips out common formatting characters like spaces, dashes, and parentheses to give you a clean string. **Can I use Phone Validator Engine for my Twilio integration?** It's a perfect fit for that. By validating numbers before they hit the Twilio API, you can reduce failed messages and keep your data clean. **Does Phone Validator Engine check if a phone number is active?** No, it validates the structure and country code. It doesn't check if the number is currently active or if it's a working line. **What is an E.164 number?** E.164 is the international standard for phone numbers. It's the format most telecom providers require for reliable SMS and VOIP delivery. **Can Phone Validator Engine handle Brazilian numbers?** Yes, it knows the specific formatting rules for Brazil and can validate them against the correct country code. **Does it support Brazilian numbers?** Yes, perfectly handles the 9-digit rule. **Can it extract the country?** Yes, it returns the Alpha-2 country code. **Is it local?** Yes, 100% local regex/metadata evaluation.