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Smarty MCP. Validate addresses from raw text or chat input.

Claude Claude
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Smarty MCP on Cursor AI Code Editor MCP Client Smarty MCP on Claude Desktop App MCP Integration Smarty MCP on OpenAI Agents SDK MCP Compatible Smarty MCP on Visual Studio Code MCP Extension Client Smarty MCP on GitHub Copilot AI Agent MCP Integration Smarty MCP on Google Gemini AI MCP Integration Smarty MCP on Lovable AI Development MCP Client Smarty MCP on Mistral AI Agents MCP Compatible Smarty MCP on Amazon AWS Bedrock MCP Support

Just plug in your AI agents and start using Vinkius.

Smarty validates, autocompletes, and extracts global street addresses instantly for your AI client. It handles messy raw text—whether it's a customer note or an email—and cleans it into perfectly formatted postal data.

You get delivery point validation (DPV) status and coordinates for both US and international locations without writing any code.

What your AI agents can do

Autocomplete intl address

Predicts and suggests full international street addresses when given a partial input string.

Autocomplete us address

Provides three suggested completions for US addresses based on partial inputs like street numbers or abbreviations.

Extract addresses

Reads any chunk of raw text (emails, documents) and pulls out all identifiable physical addresses into a list.

+ 4 more capabilities included
Validate US Addresses

The agent checks a specific US street address, returning the Delivery Point Validation (DPV) status and precise coordinates.

Validate International Addresses

The agent confirms if an international street address is valid by querying global postal databases and geocoding its location.

Extract from Raw Text

The tool scans unstructured text (emails, notes) and pulls out every physical address it finds.

Predict Address Suggestions (US)

The agent takes a partial US street name or location fragment and suggests the three most likely full completions.

Verify Postal Zones

The tool accepts a 5-digit ZIP code, confirming its existence and returning associated municipal boundaries (city/state).

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
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AI Agent

Smarty MCP Server: 7 Tools for Address Validation

Use these seven tools to validate, geocode, and extract physical addresses from any text source within your AI agent's workflow.

autocomplete019d7609

autocomplete intl address

Predicts and suggests full international street addresses when given a partial input string.

autocomplete019d7609

autocomplete us address

Provides three suggested completions for US addresses based on partial inputs like street numbers or abbreviations.

extract019d7609

extract addresses

Reads any chunk of raw text (emails, documents) and pulls out all identifiable physical addresses into a list.

get019d7609

get account info

Retrieves basic account details for the Smarty service to confirm connection status or usage limits.

validate019d7609

validate intl address

Confirms if a full international street address is real and geocodes it using required country and line data.

validate019d7609

validate us address

Checks a US street address for DPV status, returning coordinates and confirming deliverability.

verify019d7609

verify zip code

Takes a 5-digit postal code and returns the associated state and city limits to confirm the zone.

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What you can do with this MCP connector

Smarty hooks up your AI client so it can deal with junk address data. It doesn't matter if you're reading a messy customer note or an old email—this server cleans that raw text and formats the physical locations into structured, usable postal data. You get Delivery Point Validation (DPV) status and precise coordinates for both U.S. addresses and international spots without ever writing a single line of code yourself.

When you use this toolset, your agent handles complex geospatial calls through natural language prompts. It bypasses the headache of setting up custom API scripts or manually testing data in some sandbox environment.

How You Use It

You'll group related functions together. The server first checks connection status using get_account_info, letting your agent confirm current usage limits and service health before it starts working.

For full address validation, you have two paths. If the location is in the U.S., use validate_us_address. This function takes a specific street address and tells you its DPV status while returning exact coordinates for pinpointing it on a map. For anything outside the U.S.—like Canada or Europe—you'll run validate_intl_address.

It confirms if that full international address is real by querying global postal databases and gives you precise geocoding data.

If your client only has partial info, don't sweat it. When a user provides just a fragment of an address, like a street name or apartment number, you use autocomplete tools to guess the rest. For U.S. addresses, autocomplete_us_address suggests three likely full completions based on what was typed. For international suggestions, run autocomplete_intl_address when your user gives you only a piece of an address in another country.

When you're not validating or guessing, but pulling data from existing text, use extract_addresses. You feed this tool any chunk of unformatted writing—it could be meeting notes, a long email chain, or a document copy—and it pulls out every identifiable physical address into an easy-to-read list. To confirm general postal zones, run verify_zip_code.

This takes a simple five-digit ZIP code and confirms its existence while returning the associated city and state limits.

When you put it all together, your agent can check account status first with get_account_info, then use extract_addresses to pull out multiple locations from an email body. After that, it might run verify_zip_code on a specific zip code found in the text. If the extracted address is international, you validate it immediately using validate_intl_address.

If it's U.S.-based, you check its deliverability with validate_us_address, or if you only have partial info for either country, you let the appropriate autocomplete function—autocomplete_us_address or autocomplete_intl_address—handle the rest.

How Smarty MCP Works

  1. 1 Subscribe to the server and provide your Smarty Auth ID and Auth Token.
  2. 2 Connect an MCP-compatible client (like Cursor or Claude).
  3. 3 Prompt your agent directly: 'Validate this address:' The agent executes the necessary tool call, and you get the structured validation result back.

The bottom line is: your AI agent does the API calling for you; you just talk to it in natural language.

Who Is Smarty MCP For?

This is built for developers and data ops people who are sick of manual address cleanup. If your workflow involves taking messy customer input—from web forms, spreadsheets, or chat logs—and you need clean, validated postal data fast, this tool saves hours of dirty work.

Data Engineer

Runs batch validation. They feed the AI raw lists of customer addresses and have it run extract_addresses or multiple DPV checks sequentially.

E-Commerce Developer

Tests checkout flows. They use the agent to dynamically parse complex address lines in real time, ensuring formatting works before deployment.

Logistics Analyst

Verifies delivery endpoints. They quickly check multi-unit or remote addresses using validate_us_address to confirm route viability for internal teams.

What Changes When You Connect

  • The agent handles dirty data. Instead of manually cleaning spreadsheets, you just give the AI a blob of raw notes; it runs extract_addresses and pulls out only valid locations.
  • You get instant delivery confirmation for US addresses. Running validate_us_address gives you the DPV status and coordinates right in your chat interface, confirming if it’s actually deliverable.
  • Global coverage means less work for international teams. Use validate_intl_address to confirm foreign postal data—it doesn't care where the address is on earth.
  • No more guessing partial inputs. If a user types '3311 W 300 S', you run autocomplete_us_address, and it gives three highly probable completions, letting you guide them to the right result.
  • The process is simple: First, use verify_zip_code on the postal code; second, pass that data into a full validation tool. You build confidence in your input before proceeding.

Real-World Use Cases

01

Cleaning Web Form Submissions

A user submits a lead form with mixed fields: name, email, and an address that has typos. The agent runs extract_addresses first to isolate the messy text, then uses validate_us_address on the result. It returns a clean, confirmed deliverable line, ready for CRM entry.

02

Processing Bulk Customer Notes

A data team needs to process thousands of unstructured service notes containing addresses from different countries. The agent runs extract_addresses on the entire batch and then cycles through validate_intl_address for every result, building a clean database record.

03

Autocomplete During Chat Support

A customer is talking to support via chat, providing an incomplete address like '3311 w 300 s s'. The agent prompts autocomplete_us_address with the fragment and shows three suggested completions, letting the user pick the correct location immediately.

04

Validating Shipping Labels

The logistics team has a list of addresses that need to be verified for shipment. They use validate_us_address against each entry and then run verify_zip_code on the resulting postal code to confirm local municipal limits.

The Tradeoffs

Treating all addresses as US.

You try to validate an address in Paris, France, using a call designed only for US formats. The tool fails or returns garbage data because the protocols are different.

Always check the country first. If it's international, use validate_intl_address. Stick to specialized tools for specific regions.

Skipping extraction on raw text.

You pass a whole email body that contains greetings, signatures, and random text into the validator. The tool gets confused by non-address data and fails to parse anything useful.

Always run extract_addresses first. This cleans the noise and gives you only the address candidates before passing them for validation.

Relying on partial text alone.

You ask the AI to validate just a city name and street abbreviation without enough context. The validator has too many options and can't give you a definitive, confirmed result.

When It Fits, When It Doesn't

Use this server if your primary problem is data integrity related to location—you need to know if an address exists and where it sits geographically. Use validate_us_address when the target area is within the continental US. Use validate_intl_address anytime you deal with non-US postal codes or countries. Run extract_addresses whenever your input source (like a user chat or document) is unstructured and might contain multiple addresses. Don't use this if all you need is simple text manipulation; those are general NLP tasks. Use this when the data requires geocoding, DPV checking, or postal code confirmation. If your problem is simply 'I want to format an address,' this won't solve it—you still need to validate it first.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Smarty. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 7 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

autocomplete_intl_address autocomplete_us_address extract_addresses get_account_info validate_intl_address validate_us_address verify_zip_code

Manually scrubbing addresses from raw text is a nightmare.

Today, you get a customer note or scrape an old ticket. It’s a messy block of text: 'Talked to John Doe near 123 Main St in Miami, but the ZIP was sketchy.' You have to manually copy-paste that string into Google Maps, try to figure out which parts are addresses, and then check if they even exist. This is tedious, slow, and prone to human error.

With Smarty, you just hand the entire text block to your agent. It runs `extract_addresses` and gives you a clean list of every location mentioned. Then, it passes those results to `validate_us_address`, giving you confirmed coordinates and DPV status instantly in the chat window.

Smarty MCP Server: Get validated postal data from your agent.

Before, if a user mentioned an international location, you had to switch APIs or write complex routing logic just to handle the country difference. You'd spend time debugging which specific validation function to call based on input patterns.

Now, your agent handles that complexity for you. You simply ask it to validate the address, and it routes the request internally to `validate_intl_address`—the right tool, every single time.

Common Questions About Smarty MCP

How do I use Smarty MCP Server to check a US address? +

Use the validate_us_address tool. You give your agent the full US street address and it returns the Delivery Point Validation (DPV) status, coordinates, and confirmation that the address is deliverable.

Can Smarty MCP Server pull addresses from emails? +

Yes, use extract_addresses. You feed your agent any raw text—like a pasted email body—and it intelligently isolates every physical location found in that noise.

Do I need to manually validate the ZIP code before running validation? +

No, but you can use verify_zip_code first. It’s a good step for confidence; it confirms the 5-digit postal zone and returns associated city/state limits before you run full validation.

How do I autocomplete an international address with Smarty? +

Call the autocomplete_intl_address tool. You provide a partial street name or location, and it suggests multiple valid completions based on global data sets.

How do I connect my AI client using the `get_account_info` tool? +

You must first subscribe to the server and provide your Smarty Auth ID and Token. Your agent sends this information to execute get_account_info, which confirms your connection status and basic account details.

What should happen if `validate_us_address` encounters an invalid address format? +

The tool will return a validation failure status, detailing why the input failed. You get specific error codes alongside the DPV match status, telling you exactly what needs fixing.

Can `extract_addresses` process very large blocks of raw text? +

Yes, it processes complex and lengthy strings effectively by parsing them for physical addresses. You can feed your agent a large document dump or log file; the tool isolates valid postal locations within that context.

How does Smarty handle rate limits when I use multiple validation tools? +

The server adheres to standard API usage rates, so repeated calls won't overload it. If you hit a limit, your AI client will receive an appropriate HTTP error code, telling you exactly when to retry the request.

Can the AI find an address hidden inside a block of text automatically? +

Yes! You can paste an entire email string or customer support note into your prompt and ask the AI: 'Extract any addresses mentioned in this text.' The agent triggers the extract_addresses engine to return the geolocated and sanitized address format purely.

How accurate is the address verification? +

Smarty ensures the address is validated against official sources like the USPS using DPV (Delivery Point Validation) for US requests, guaranteeing a package can actually be delivered to the mapped coordinate. Your AI agent returns this rigorous underlying metadata.

Can I use the agent to fix my dataset dynamically without coding? +

Yes. If you have 20 poorly formatted customer addresses, you can simply paste them in the prompt, asking your AI to 'Run each of these through Smarty and return a markdown table of the normalized addresses.' The agent handles the iteration loop for you via the tools.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

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