Vinkius
Georef Argentina

Georef Argentina MCP for AI. Validate any Argentine address or coordinate instantly.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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Works with every AI agent you already use

…and any MCP-compatible client

Georef Argentina MCP on Cursor AI Code EditorGeoref Argentina MCP on Claude Desktop AppGeoref Argentina MCP on OpenAI Agents SDKGeoref Argentina MCP on Visual Studio CodeGeoref Argentina MCP on GitHub Copilot AI AgentGeoref Argentina MCP on Google Gemini AIGeoref Argentina MCP on Lovable AI DevelopmentGeoref Argentina MCP on Mistral AI AgentsGeoref Argentina MCP on Amazon AWS Bedrock

Connect to your AI in seconds.

Georef Argentina accesses official Argentine geographic data, letting your AI client validate and structure location information. It normalizes messy addresses into precise components; lists administrative divisions like provinces and departments; and performs reverse geocoding on coordinates.

This MCP is essential for any app dealing with shipping or large-scale datasets in Argentina.

What your AI can do

Get departamentos

Retrieves a list of all departments found within Argentina.

Normalize direccion

Takes an unstructured address string and separates it into its accurate, standardized components.

Get localidades

Provides a comprehensive list of localities across Argentina.

+ 4 more capabilities included
Structure messy addresses

Converts raw text strings into structured data with specific components like street name and number.

List administrative boundaries

Retrieves lists of official provinces, departments, municipalities, or localities within Argentina.

Determine location from coordinates

Takes latitude and longitude to return the precise administrative area the point falls into (reverse geocoding).

Search specific streets

Finds a list of known streets or 'vías' within defined localities.

Included with Plan

Waiting for input…

AI Agent

Georef Argentina: 7 Tools

Use these seven specific tools to validate, structure, and retrieve all types of official Argentine geographic data directly from your AI client.

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 Georef Argentina on Vinkius

Get Departamentos

Retrieves a list of all departments found within Argentina.

Normalize Direccion

Takes an unstructured address string and separates it into its accurate...

Get Localidades

Provides a comprehensive list of localities across Argentina.

Get Municipios

Gets a full listing of municipalities in Argentina.

Get Provincias

Retrieves and filters official provinces by name or ID from Argentina.

Reverse Geocoding

Identifies the administrative location (province/municipality) corresponding to a set of latitude and longitude coordinates.

Get Vias

Fetches a complete list of streets (vías) for any given location in Argentina.

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.

Claude AI

Claude AI

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

3

Start a conversation

Open a new chat. The Georef Argentina integration is available immediately — no restart needed.

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
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Start building

Make Your AI Do More

Start with Georef Argentina, 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
Georef Argentina MCP server cover

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Georef Argentina. 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 connection provides 7 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.

Manual address validation wastes hours on copy-pasting and cross-referencing records.

Today, if you have a client list of addresses for Buenos Aires, you probably open five different tabs. You manually check the province against one database, then verify the department in another, and finally try to structure the street name using a third API just to ensure the format is correct. It's slow, tedious, and highly prone to human error.

With this MCP connection, you give your agent the whole list, and it runs the validation against the official databases automatically. You get clean, structured data back in seconds—no more tab-switching or copy-pasting needed.

Structured Location Data with Georef Argentina

The MCP eliminates the need to maintain multiple complex lookup tables. You don't have to write code that knows how to handle both a department ID and a province name; you just call the correct tool, like `get_departamentos`, and get the clean list back.

What’s different now is reliability. This isn't an approximation; it's direct access to national records. You build trust into your app using data that's already vetted by Argentine government sources.

What your AI can actually do with this

Need to deal with Argentine locations? Raw address strings are a nightmare, and simple coordinate pairs don't tell you the full story. This connector lets your agent talk directly to national geographic databases. You can feed it an unstructured street name and get it broken down into official components; or you can give it coordinates and have it identify the exact administrative region, like the neighborhood or municipality.

It’s about making messy data usable for shipping labels or analytics tables. When building complex systems, connecting through Vinkius makes this reliable geographic dataset available to your AI agent without needing a dedicated backend microservice. You just ask your client—Claude, Cursor, any MCP-compatible client—to validate the location, and it handles all the complexity.

Built · Hosted · Managed by Vinkius Georef Argentina MCP - Normalize Addresses & Locations
Server ID 019e389d-f198-70d0-a8cf-a229ab29a862
Vinkius Inspector
Compliance Grade F
Score 3.6/100
Vinkius Inspector Badge — Score 3.6/100

Questions you might have

How do I validate a messy address string using normalize_direccion? +

You pass the raw address text to normalize_direccion. It automatically breaks it into separate, official components like street name and number. This is much better than trying to parse it yourself.

Can I find out what province an arbitrary coordinate belongs to using reverse_geocoding? +

Yes. Simply run reverse_geocoding with the latitude and longitude. It will tell you exactly which administrative region, down to the municipality, that point falls within.

Which tool should I use if I just want a list of all provinces? +

Use get_provincias. This tool is dedicated solely to listing and filtering the official 24 main jurisdictions in Argentina, ensuring you get a complete and accurate set.

Does this MCP handle both department and municipality lookups? +

Yes. You have specific tools for that: use get_departamentos to list departments, or get_municipios when you need the full roster of municipalities.

If I'm running high-volume tasks like normalizing addresses with normalize_direccion, do I need an API key? +

Yes, you may require a dedicated Georef API Key for high-volume access. The documentation provides details on setup and usage limits for robust integration.

Can the get_departamentos tool filter results by name or ID? +

The list of departments can be filtered using either a specific department's name or its unique ID. This lets you pull exact data without sifting through entire regional lists.

What information do I need to provide when calling the get_vias tool? +

You must specify the locality or department where the street is located. This scope limits the search and ensures that get_vias only returns relevant streets (vías) for your area.

When I use reverse_geocoding, what administrative context does the output provide? +

The output provides not just a geographic match, but also the associated administrative location. You get clear identification of the neighborhood and locality tied to those specific coordinates.

Can I find the coordinates of a specific address string? +

Yes! Use the normalize_direccion tool. It will parse the address and return the structured components along with geographic coordinates.

How do I list all departments within a specific province? +

Use the get_departamentos tool and provide the province name or ID in the provincia parameter to filter the results.

Can I get the administrative location of a specific latitude and longitude? +

Yes, the reverse_geocoding tool takes lat and lon parameters and returns the corresponding province, department, and municipality.

Built & Managed by Vinkius 30s setup 7 tools

We've already built the connector for Georef Argentina. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 7 tools are live and waiting. You're up and running in seconds.

Vinkius runs on Claude Claude
Vinkius runs on ChatGPT ChatGPT
Vinkius runs on Cursor Cursor
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Vinkius runs on VS Code VS Code
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Vinkius runs on Vercel Vercel
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