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Country Data Resolver MCP Server for LlamaIndexGive LlamaIndex instant access to 1 tools to Resolve Country

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Country Data Resolver as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this MCP Server for LlamaIndex

The Country Data Resolver MCP Server for LlamaIndex is a standout in the Utilities category — giving your AI agent 1 tools to work with, ready to go from day one.

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Country Data Resolver. "
            "You have 1 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Country Data Resolver?"
    )
    print(response)

asyncio.run(main())
Country Data Resolver
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Country Data Resolver MCP Server

When a CRM agent processes international contacts, it cannot guess that 'MK' is North Macedonia or that 'TL' is Timor-Leste. This MCP resolves any ISO 3166-1 alpha-2 code to its full name in English, Portuguese, Spanish, or French.

LlamaIndex agents combine Country Data Resolver tool responses with indexed documents for comprehensive, grounded answers. Connect 1 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

The Superpowers

  • 249 Countries: Full ISO 3166-1 database with alpha-2, alpha-3, and numeric codes.
  • 4 Languages: Country names in EN, PT, ES, and FR for multilingual CRM workflows.

The Country Data Resolver MCP Server exposes 1 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 1 Country Data Resolver tools available for LlamaIndex

When LlamaIndex connects to Country Data Resolver through Vinkius, your AI agent gets direct access to every tool listed below — spanning country, iso, i18n, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

resolve

Resolve country on Country Data Resolver

Pass the alpha-2 code (e.g. "BR", "DE", "JP") and optionally a language for the name (en, pt, es, fr). Never guess country names for obscure codes. Resolves ISO country codes to full country names in 4 languages, plus alpha-3 and numeric codes. Essential for CRM and Martech agents handling international data

Connect Country Data Resolver to LlamaIndex via MCP

Follow these steps to wire Country Data Resolver into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 1 tools from Country Data Resolver

Why Use LlamaIndex with the Country Data Resolver MCP Server

LlamaIndex provides unique advantages when paired with Country Data Resolver through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Country Data Resolver tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Country Data Resolver tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Country Data Resolver, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Country Data Resolver tools were called, what data was returned, and how it influenced the final answer

Country Data Resolver + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Country Data Resolver MCP Server delivers measurable value.

01

Hybrid search: combine Country Data Resolver real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Country Data Resolver to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Country Data Resolver for fresh data

04

Analytical workflows: chain Country Data Resolver queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Country Data Resolver in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Country Data Resolver immediately.

01

"What is the full name for country code BR in Portuguese?"

02

"Resolve the country code MK to its full name."

03

"Get all ISO codes for Japan."

Troubleshooting Country Data Resolver MCP Server with LlamaIndex

Common issues when connecting Country Data Resolver to LlamaIndex through Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Country Data Resolver + LlamaIndex FAQ

Common questions about integrating Country Data Resolver MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Country Data Resolver tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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