How to Use the Country Data Resolver MCP in LlamaIndex

Q: How do I connect Country Data Resolver to LlamaIndex?

Run pip install llama-index-tools-mcp to get the required MCP library. Initialize the BasicMCPClient with your Vinkius URL, wrap it in a McpToolSpec, and call totoollistasync() to get your tools.

Index accurate, localized country data directly into your LlamaIndex vector stores for reliable semantic search.

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Connect Country Data Resolver MCP to LlamaIndex

Create your Vinkius account to connect Country Data Resolver to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Country Data Resolver with LlamaIndex

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Index Standardized Country Names in LlamaIndex

The `resolve_country` tool converts raw alpha-2 codes into structured country profiles that you can index for search. This prevents your RAG pipeline from missing relevant documents just because one used "DE" and another used "Germany". By feeding uniform alpha-3 and numeric codes into your index, your search queries become far more reliable. Your agent retrieves documents based on actual matching metadata rather than guessing.

Build Localization-Aware RAG Pipelines

The `resolve_country` tool provides localized names in four languages to help your LlamaIndex pipelines map data using this MCP Server. This ensures your search engine matches "Spain" and "España" to the same underlying entity. Your agent queries the vector store using the correct localized string retrieved from the server. This eliminates language barriers in your international knowledge bases.

Clean Ingestion Pipelines with this MCP Server

The `resolve_country` tool acts as an ingestion-time data normalizer for your document parsers. It intercepts raw metadata and replaces obscure two-letter codes with full, verified country profiles. This step keeps your index clean from day one. You save money on embedding tokens by storing clean, uniform metadata instead of messy raw inputs.

Setup guide

Set up Country Data Resolver MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Country Data Resolver MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Country Data Resolver tools.",
)
response = await agent.run("List recent Country Data Resolver data")

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Common questions about Country Data Resolver MCP in LlamaIndex

Run `pip install llama-index-tools-mcp` to get the required MCP library. Initialize the `BasicMCPClient` with your Vinkius URL, wrap it in a `McpToolSpec`, and call `to_tool_list_async()` to get your tools.

Yes. The tool returns structured JSON containing the full name, alpha-3 code, and numeric code. You can inject this data directly into your LlamaIndex document metadata before generating embeddings.

Yes, LlamaIndex handles the async tool execution out of the box. Your agent can resolve multiple country codes in parallel during large ingestion runs, which speeds up your indexing pipeline.

You can request country names in English, Portuguese, Spanish, or French. Just pass the language parameter to the tool along with your alpha-2 code to get the correct translation.

Your ISO country codes and language queries are processed inside an isolated, zero-trust sandbox. Vinkius ensures that no data persists after your query completes. The server does not log your payloads, keeping your CRM records confidential.

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