How to Use the Country Data Resolver MCP in LangChain
Stop guessing ISO codes in your LangChain runs. Feed clean, translated country profiles straight into your active chains.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Country Data Resolver MCP to LangChain
Create your Vinkius account to connect Country Data Resolver to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Translate ISO Codes in LangChain Chains
The `resolve_country` tool translates two-character country codes into full names across four languages directly inside your active chains. Instead of letting your agent hallucinate what "BR" or "JP" means, this service returns exact matches for alpha-3 and numeric codes. Your agent handles international CRM cleanups by passing raw inputs to the node. LangSmith tracks the exact input and output of every lookup, so you see the translation latency in your dashboard.
Feed Clean CRM Data to Downstream Nodes
The `resolve_country` tool acts as a data validation gatekeeper before you commit records to your database. It translates messy, mixed-locale country fields into uniform ISO standards. When you combine this MCP Server with other LangChain integrations, you stop bad data before it hits your production vector stores. Your pipeline runs faster because your agents do not waste cycles fixing broken country strings.
Run Multi-Step Localization Decisions
The `resolve_country` tool outputs localized country names in English, Portuguese, Spanish, or French based on your user's profile. Your LangChain agent reads this output to decide which language-specific email sequence to trigger next. This setup prevents awkward translation errors in your marketing campaigns. You build a smarter routing system that adapts to your user's home region automatically.
Set up Country Data Resolver MCP in LangChain
Prerequisites
- Python 3.10+ installed
-
langchain-mcp-adapters+langgraphpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChainBaseToolobjects. - 2
Connect via HTTP transport
Use
MultiServerMCPClientwith"transport": "http"pointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create a ReAct agent
Pass the discovered tools to
create_react_agent()from LangGraph. The agent automatically routes Country Data Resolver tool calls through the MCP protocol. - 4
Run with any LLM
Swap
ChatOpenAIforChatAnthropic,ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI
async with MultiServerMCPClient({
"country-data-resolver-mcp": {
"transport": "http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
result = await agent.ainvoke({
"messages": "List recent Country Data Resolver transactions"
})
print(result["messages"][-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by i18n-iso-countries. 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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Common questions about Country Data Resolver MCP in LangChain
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Country Data Resolver MCP today
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