World Bank Economy MCP Server for LlamaIndex 4 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add World Bank Economy as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 World Bank Economy. "
"You have 4 tools available."
),
)
response = await agent.run(
"What tools are available in World Bank Economy?"
)
print(response)
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 World Bank Economy MCP Server
Empower your AI agent with instant access to the World Bank's economic data.
LlamaIndex agents combine World Bank Economy tool responses with indexed documents for comprehensive, grounded answers. Connect 4 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- GDP Analytics — Retrieve GDP, GDP per capita, and year-over-year economic growth.
- Inflation — Track consumer price changes globally.
- Interest Rates — Monitor real interest rates for any country.
The World Bank Economy MCP Server exposes 4 tools through the Vinkius. Connect it to LlamaIndex 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 World Bank Economy to LlamaIndex via MCP
Follow these steps to integrate the World Bank Economy MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 4 tools from World Bank Economy
Why Use LlamaIndex with the World Bank Economy MCP Server
LlamaIndex provides unique advantages when paired with World Bank Economy through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine World Bank Economy tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain World Bank Economy tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query World Bank Economy, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what World Bank Economy tools were called, what data was returned, and how it influenced the final answer
World Bank Economy + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the World Bank Economy MCP Server delivers measurable value.
Hybrid search: combine World Bank Economy real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query World Bank Economy to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying World Bank Economy for fresh data
Analytical workflows: chain World Bank Economy queries with LlamaIndex's data connectors to build multi-source analytical reports
World Bank Economy MCP Tools for LlamaIndex (4)
These 4 tools become available when you connect World Bank Economy to LlamaIndex via MCP:
get_economy_indicator
Get any World Bank economy indicator by its code
get_gdp
Get Gross Domestic Product (GDP) in current US$
get_gdp_growth
Get annual GDP growth percentage
get_inflation
Get inflation rate (consumer prices, annual %)
Example Prompts for World Bank Economy in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with World Bank Economy immediately.
"What is the GDP of Brazil compared to Argentina over the last 10 years?"
"What is the current inflation rate in Turkey?"
"Show me the GDP per capita growth trend for South Korea since 1990."
Troubleshooting World Bank Economy MCP Server with LlamaIndex
Common issues when connecting World Bank Economy to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpWorld Bank Economy + LlamaIndex FAQ
Common questions about integrating World Bank Economy MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect World Bank Economy 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.
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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 World Bank Economy to LlamaIndex
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.