REST Countries MCP Server for LangChain 6 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect REST Countries through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MultiServerMCPClient({
"rest-countries": {
"transport": "streamable_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,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using REST Countries, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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 REST Countries MCP Server
Empower your AI agent to orchestrate your entire global research workflow with REST Countries, the authoritative source for geographic and geopolitical data. By connecting REST Countries to your agent, you transform complex demographic searches into a natural conversation. Your agent can instantly search for countries, audit currency distributions, and retrieve language metadata without you ever touching a technical database. Whether you are conducting market expansion research or building global applications, your agent acts as a real-time geographic consultant, ensuring your data is always comprehensive and well-categorized.
LangChain's ecosystem of 500+ components combines seamlessly with REST Countries through native MCP adapters. Connect 6 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Country Auditing — Search for any country by its common or official name and retrieve detailed metadata, including capitals and population counts.
- Regional Oversight — Browse countries by region or subregion to maintain a clear view of global geographic distributions.
- Economic Intelligence — Query countries by currency to understand the reach of specific financial systems instantly.
- Linguistic Discovery — Retrieve lists of countries that speak specific languages to assist in localization planning.
- Spatial Discovery — Retrieve official flags and geographic coordinates for any country ID to maintain visual and spatial context.
The REST Countries MCP Server exposes 6 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect REST Countries to LangChain via MCP
Follow these steps to integrate the REST Countries MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 6 tools from REST Countries via MCP
Why Use LangChain with the REST Countries MCP Server
LangChain provides unique advantages when paired with REST Countries through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine REST Countries MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across REST Countries queries for multi-turn workflows
REST Countries + LangChain Use Cases
Practical scenarios where LangChain combined with the REST Countries MCP Server delivers measurable value.
RAG with live data: combine REST Countries tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query REST Countries, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain REST Countries tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every REST Countries tool call, measure latency, and optimize your agent's performance
REST Countries MCP Tools for LangChain (6)
These 6 tools become available when you connect REST Countries to LangChain via MCP:
get_all_countries
Get a list of all countries in the world
get_countries_by_currency
List countries that use a specific currency
get_countries_by_language
List countries that speak a specific language
get_countries_by_region
List countries in a specific region or subregion
get_country_by_code
Search for a country by its ISO alpha-2 or alpha-3 code
get_country_by_name
Search for a country by its common or official name
Example Prompts for REST Countries in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with REST Countries immediately.
"Search for the country 'Brazil' using REST Countries."
"List all countries in the region 'Europe'."
"Which countries speak 'Spanish'?"
Troubleshooting REST Countries MCP Server with LangChain
Common issues when connecting REST Countries to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersREST Countries + LangChain FAQ
Common questions about integrating REST Countries MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect REST Countries with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect REST Countries to LangChain
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.