Zippopotam.us Alternative MCP for AI. Map any postal code to its exact coordinates.
Works with every AI agent you already use
…and any MCP-compatible client








How this MCP server connects to your AI agent
Zippopotam.us Alternative MCP handles global geocoding and postal code lookups instantly. Need coordinates for a ZIP? Use this to get city, state, latitude, and longitude from any valid postal code.
Want to know all the codes for Seattle? Run it by city name to map out regional coverage across dozens of countries.
What AI agents can do with Zippopotam.us Automation
Get location by postal code
Retrieves specific location data and coordinates using a single postal code number.
Get postal codes by city
Finds all associated postal codes when given a city name and state/province.
Input a zip or postal code and get the corresponding city name, state, and precise latitude/longitude.
Input a city and state name to retrieve an array of all associated postal codes in that area.
Ask an AI about this
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What AI agents can do with Zippopotam.us Alternative: 2 Tools
These two tools let you get structured data about locations, whether you start with a specific postal code or a general city name.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Zippopotam.us on VinkiusGet Location By Postal Code
Retrieves specific location data and coordinates using a single postal code number.
Get Postal Codes By City
Finds all associated postal codes when given a city name and state/province.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Zippopotam.us, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Zippopotam.us. 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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Built on the Model Context Protocol (MCP) for 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 connection provides 2 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Address validation used to be a painful, multi-step chore., Solved with Vinkius AI Gateway
Today, validating an address means copy-pasting data into one system just to get the ZIP. Then you have to take that result and paste it into a second tool to extract coordinates for your map layer. If you need to check a whole spreadsheet of addresses, you write boilerplate code and run it through three different APIs, all while praying they don't rate-limit you.
With this MCP, the process collapses. You hand over the raw postal code or city/state pair to your agent. It gets the coordinates and full metadata in one go. The result is clean, structured data ready for use.
Getting Location Data with get_location_by_postal_code
You used to have to check the code first, then confirm the city/state separately. Now, you just give your agent the postal code. It runs the lookup and immediately returns all three pieces of info: coordinates, state, and city.
What's different is that you get a single source of truth every time. Your workflow doesn't break because one external service went down.
What your AI can actually do with this
This MCP lets your agent pull location intelligence anywhere in the world. You can resolve addresses and coordinates right through natural conversation. Instead of hitting a dozen external APIs, you use this connector to get instant data points for multiple countries. For instance, if you have a zip code, it delivers the corresponding city, state, and precise GPS coordinates.
If your input is a city name instead, it maps out all associated postal codes for that region. When you're building complex automations—say, validating shipping destinations before running billing logic—you can chain this MCP with others on Vinkius, giving full visibility into exactly what data flowed through and how many tokens were used.
019e5d6a-f016-721a-a50d-712e1e3a773e Here's how it actually works
The bottom line is that you get standardized, validated geographical metadata without writing complex GIS code.
Specify the type of lookup: are you starting with a known postal code, or do you have a city/state pair?
Your agent runs the appropriate function to query global geographic data sources.
It returns structured JSON containing the found location details and coordinates.
Who is this actually for?
Logistics managers who dread shipping address validation errors. Data scientists tasked with cleaning massive datasets of incomplete location fields. Developers stuck on mapping coordinates in the IDE.
Needs to enrich raw, dirty data sets by adding standardized city/state metadata based only on a postal code.
Validates shipping destinations and calculates regional routing parameters before an order is finalized in the checkout flow.
Needs to fetch coordinates for a map component or validate input fields directly within their code editor or web app prototype.
What Changes When You Connect
Stop guessing location data. Use get_location_by_postal_code to turn a zip code into precise latitude and longitude, making mapping components accurate instantly.
Build out regional coverage maps easily. Run the get_postal_codes_by_city tool to list every possible postal code within a given city/state pairing—perfect for market analysis.
Save time writing custom geo-validation logic. This MCP handles global data access across multiple countries, so you don't have to manage dozen endpoints.
Improve dataset quality immediately. Use this connector to automatically fill in missing geographic metadata in your workflows or ETL pipelines, just by knowing the postal code.
Avoid redundant API calls. Because Vinkius manages all tool execution within isolated sandboxes, it minimizes overhead and keeps your process clean.
See it in action
Validating a new client's shipping address
A logistics agent needs to check if the provided ZIP code (e.g., 90210) is valid and get its coordinates for routing software. The agent calls get_location_by_postal_code, confirming both location details and precise GPS data in one step.
Mapping out regional sales territories
A marketing team needs to know every possible postal code served by 'Seattle' in Washington state. The agent calls get_postal_codes_by_city, generating a comprehensive list of codes for territory mapping.
Cleaning up legacy database records
A data scientist receives a spreadsheet with thousands of raw addresses missing coordinates. They use the MCP to run get_location_by_postal_code on every unique zip code, enriching the entire dataset for analysis.
Checking international market coverage
A developer needs to know all postal codes for a foreign city (e.g., Paris, France). The agent uses get_postal_codes_by_city, confirming support across various global ISO 3166-1 alpha-2 countries.
The honest tradeoffs
Writing multiple code blocks
Manually writing separate Python scripts to call an address API, then a coordinate API, and finally another one for state validation. This is slow and brittle.
Use this MCP to handle the entire chain in a single prompt. Start by calling get_location_by_postal_code with your known code; it delivers all required metadata points.
Using generic lookup tools
Relying on general map APIs that only return street addresses, but not the underlying state or region data needed for compliance.
The MCP provides structured, standardized output. Use get_location_by_postal_code to guarantee you receive validated city and state info alongside the coordinates.
Forgetting international support
Assuming that because it works for US ZIP codes, it will handle European or Brazilian postal formats.
This MCP supports dozens of countries using standard ISO 3166-1 alpha-2 codes. Use its tools to query data across multiple global regions.
When It Fits, When It Doesn't
Use this if your goal is purely geographical mapping, address validation, or enriching structured data points with coordinates and state information. If you need to perform a transactional action—like updating inventory levels after validating an address—this MCP won't cut it; you'll need another tool in the Vinkius catalog for that side of the process. Don't use this if your input is vague (e.g., 'a location near me'); you must provide a specific postal code or city/state pair to get reliable data from either get_location_by_postal_code or get_postal_codes_by_city.
Questions you might have
How can I find the latitude and longitude for a specific zip code? +
Use the get_location_by_postal_code tool. Provide the country code (e.g., 'us') and the postal code. The agent will return the city, state, and precise GPS coordinates.
Can I find all postal codes for a specific city? +
Yes. Use the get_postal_codes_by_city tool. You will need to provide the country, the state abbreviation (e.g., 'ca' for California), and the city name.
What format should I use for the country parameter? +
The API requires ISO 3166-1 alpha-2 country codes. For example, use 'us' for the United States, 'de' for Germany, 'fr' for France, or 'br' for Brazil.
Do I need a special key or registration to use get_location_by_postal_code? +
No, you don't need any paid subscription or registration. This MCP uses a public API and simply requires you to pass 'PUBLIC' as the access key in your agent connection.
How does get_location_by_postal_code handle invalid or missing postal codes? +
If the provided zip code is not recognized, the tool will return a structured error message instead of failing. This allows your AI client to gracefully catch the failure and prompt the user for correct input.
What if I need to find postal codes in multiple states or provinces? +
You can use get_postal_codes_by_city by running separate calls, specifying each state/province combination. The tool is designed to query regional coverage based on the exact city and state parameters you pass.
Are there any performance limitations when I run many lookups with get_location_by_postal_code? +
While Vinkius includes token optimization for efficiency, remember that excessive calls to external APIs might hit rate limits. We recommend batching your requests or running them sequentially through your agent workflow.
Can I use get_postal_codes_by_city across different countries besides the US? +
Yes, this MCP supports international data using standard ISO 3166-1 alpha-2 codes for location scope. You just need to ensure your input parameters specify the correct country context.
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