Zippopotam.us Alternative MCP. Map any zip code to coordinates or find all zips in a city.
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Zippopotam.us Alternative provides global geocoding and postal code intelligence through your AI agent. Use it to look up precise coordinates, city names, and state data for any zip code, or query a list of all possible codes associated with a specific city and state.
It handles multiple countries (US, DE, FR, etc.) so you can validate addresses anywhere.
What your AI agents can do
Get location by postal code
Reads a postal code string and returns the corresponding city, state, latitude, and longitude coordinates.
Get postal codes by city
Accepts a city name and state, then retrieves all associated valid postal codes for that region.
Sends a postal code and receives structured data including the city, state, latitude, and longitude.
Accepts a city name and state, returning an array of all associated valid postal codes.
Checks if a given postal code is recognized in multiple countries (US, DE, FR) before proceeding with data enrichment.
Automatically fills missing geographic metadata for addresses or records without needing separate database lookups.
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Zippopotam.us Alternative MCP Server: 2 Tools for Location Data
These two tools allow your AI agent to look up location details from a specific zip code, or generate a list of all possible zip codes for a given city and state.
019e5d6aget location by postal code
Reads a postal code string and returns the corresponding city, state, latitude, and longitude coordinates.
019e5d6aget postal codes by city
Accepts a city name and state, then retrieves all associated valid postal codes for that region.
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.
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Start with Zippopotam.us Alternative, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
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What you can do with this MCP connector
Look, if your data's a mess of addresses from different corners of the globe, you don't need some massive GIS suite just to clean it up. You just connect this server to your AI client, and it handles all that global address intelligence for ya.
When you run an agent through here, it gets instant access to geographic data spanning dozens of countries—we’re talking US, Germany (DE), France (FR), Brazil (BR), and more. It's built to validate addresses anywhere in the world before your agent even thinks about enriching them. You can feed it a postal code from any recognized system, and it checks if that number is actually valid for the region you're working in.
If you need to pinpoint exactly where an address falls, you use get_location_by_postal_code. You just give your agent a single zip or postal code string. The tool runs that through its system and spits out four specific pieces of structured data: the city name, the state it belongs to, the precise latitude coordinate, and the longitude coordinate.
That's enough info for mapping anything, period.
Need to work backward? Say you know the city and the state, but your records are missing the actual codes. You use get_postal_codes_by_city. This tool accepts a city name along with its corresponding state. It then queries all possible valid postal codes tied to that specific region, giving you an array of options so you can fill in those gaps.
This capability lets your agent automatically enrich datasets on the fly. If you've got a spreadsheet full of records missing key geographic metadata—like just having a name and date but no city or coordinates—your client uses these tools to fill those blanks without needing separate database lookups or manual intervention.
It’s real-time data cleanup.
The whole system handles multiple country formats, making it reliable whether you're dealing with US ZIP codes or the postal systems used in European countries. Your agent doesn't get stuck because of borders; it just gets the right location details for whatever jurisdiction you throw at it.
How Zippopotam.us Alternative MCP Works
- 1 Subscribe to the server and use 'PUBLIC' as your access key.
- 2 Tell your AI client to invoke a tool (e.g.,
get_location_by_postal_code) and provide the required input data, like a zip code. - 3 The agent executes the lookup against the external API and returns structured location details directly to your workflow.
The bottom line is that your AI client talks directly to the geocoding service without you writing any integration code.
Who Is Zippopotam.us Alternative MCP For?
If you work with messy address data, you need this. It's for developers building mapping features and data scientists cleaning up large datasets that rely on accurate geography. Stop manually cross-referencing zip codes in Google Maps—just let your agent do it.
Cleaning address records or enriching raw datasets by running get_location_by_postal_code on millions of entries to get standardized city/state fields.
Building application components that require real-time validation of user input, such as a shipping destination form. They use both tools for comprehensive coverage.
Validating potential delivery zones across different regions by using get_postal_codes_by_city to ensure all necessary codes are covered in an area.
What Changes When You Connect
- Instantly get latitude and longitude for any postal code using
get_location_by_postal_code. This eliminates the need for separate mapping services just to validate coordinates. - Check regional coverage easily. The
get_postal_codes_by_citytool pulls a list of every possible zip code for a given city/state, which is critical for planning. - Handle global data without switching APIs. Supports ISO 3166-1 alpha-2 codes for multiple countries (US, DE, FR) in one flow.
- Validate user input immediately. When an agent runs these tools, it confirms the address's existence and structure before any further processing begins.
- Automate data cleanup workflows. Instead of manual spreadsheet checks, your agent uses location lookups to enrich messy datasets automatically.
Real-World Use Cases
Validating a New Shipping Zone
A logistics manager needs to know if a new target area is fully covered by current zip codes. Instead of guessing, they tell their agent: 'What are all the postal codes for Dallas, TX?' The agent runs get_postal_codes_by_city, providing an immediate list they can confirm.
Mapping a Single Point
You have a single zip code (e.g., 90210) and need to plot it on a map in your application. Your agent runs get_location_by_postal_code, pulling the exact latitude/longitude data needed for the API call, solving the problem instantly.
Cleaning CRM Data
A data scientist has thousands of records with city and state but missing coordinates. They prompt their agent to run get_location_by_postal_code on every record's zip code, enriching the entire dataset with geo-coordinates in bulk.
Confirming International Addresses
You need to validate a German address. Your agent uses the server's international support via get_location_by_postal_code on the German postal code, confirming not just that it exists, but also its correct city and state.
The Tradeoffs
Relying on a single data source
Only using a basic search query to guess coordinates for an address. This fails if the zip code is ambiguous or incomplete.
→
Don't just guess. Use get_location_by_postal_code first; it forces validation and gives you precise geo-coordinates based on official data.
Forgetting regional coverage
Thinking that knowing the zip code is enough to cover all delivery areas in a city. You might miss entire neighborhoods.
→
You need full context. Use get_postal_codes_by_city to get an exhaustive list of all possible postal codes for that region, ensuring you don't leave gaps.
Ignoring country boundaries
Treating US zip codes the same way you treat French or German postcodes. The structure and lookup rules are entirely different.
→ Always check the input data type and remember this server supports multiple countries via ISO 3166-1 alpha-2 codes.
When It Fits, When It Doesn't
Use this MCP Server if your core problem is translating an address string (zip code, city) into reliable geographic coordinates or a list of valid postal codes. It's built for the developer who needs depth and breadth.
Don't use it if you need to validate something else—like checking tax rates or confirming business operational hours. For those tasks, you'll need specialized financial or industry-specific APIs.
The key decision point is this: If you know the zip code, run get_location_by_postal_code for deep detail. If you only know the city and state but need to map out all possible service areas, use get_postal_codes_by_city. The two tools handle different lookup directions.
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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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 2 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Address validation shouldn't require jumping between three tabs.
Today, validating an address means opening a map service, looking up the zip code to get coordinates, then cross-referencing that city/state in a separate database. It’s slow, it involves copy-pasting data across tools, and you're always waiting for multiple API calls to finish.
With this MCP Server, your agent handles all of that internally. Give it the zip code or the city name; it runs the necessary lookups—whether using `get_location_by_postal_code` or `get_postal_codes_by_city`—and returns a clean, ready-to-use data object in one go.
Zippopotam.us Alternative MCP Server: Get Coordinates and Codes
The manual steps that vanish are the multi-step lookups for coordinates. You don't need to call a separate service just because you found a zip code; your agent executes the lookup via `get_location_by_postal_code` and gives you lat/long immediately.
What changes now is speed and reliability. Your workflow moves from 'If this, then check that' to simply stating what you need, and the server handles all the data logic in the background.
Common Questions About Zippopotam.us Alternative MCP
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.
How do I authenticate when using the `get_location_by_postal_code` tool? +
You use 'PUBLIC' as your access key. Since this is a public API, no separate registration or authentication token is required for your AI agent to connect. Just pass 'PUBLIC' when setting up the server connection.
If I run `get_postal_codes_by_city` with an invalid city/state combination, what should my agent expect? +
The API will return a structured error or simply an empty list. Your AI client must check the response payload for status codes or null results to handle failed lookups gracefully. It's best practice to include validation logic.
Are there rate limits when calling `get_location_by_postal_code` repeatedly? +
Yes, standard API rate limiting applies. If your agent runs many consecutive lookups, you may hit a quota limit. Implement exponential backoff in your client code to pause and retry requests automatically.
Does `get_location_by_postal_code` provide detailed neighborhood boundaries or just city data? +
It provides the primary location data: city, state, and precise coordinates (lat/long). It does not offer granular boundary maps. For specific neighborhood outlines, you'll need a dedicated GIS service.
What is the best way to process multiple results from `get_postal_codes_by_city`? +
The tool returns an array of matching postal codes and their associated data. Your agent should iterate through this list, extracting only the fields you need (like code or state) for subsequent processing steps.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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