World Bank Education & Health MCP Server for LlamaIndex 5 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add World Bank Education & Health as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 Education & Health. "
"You have 5 tools available."
),
)
response = await agent.run(
"What tools are available in World Bank Education & Health?"
)
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 Education & Health MCP Server
Empower your agent with critical humanitarian, health, and educational data from the World Bank.
LlamaIndex agents combine World Bank Education & Health tool responses with indexed documents for comprehensive, grounded answers. Connect 5 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.
What you can do
- Health Outcomes — Access life expectancy and mortality rates.
- Education Standards — Evaluate adult literacy rates globally.
- Government Spending — Measure health and education expenditures as a percentage of GDP.
The World Bank Education & Health MCP Server exposes 5 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 Education & Health to LlamaIndex via MCP
Follow these steps to integrate the World Bank Education & Health 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 5 tools from World Bank Education & Health
Why Use LlamaIndex with the World Bank Education & Health MCP Server
LlamaIndex provides unique advantages when paired with World Bank Education & Health through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine World Bank Education & Health tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain World Bank Education & Health tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query World Bank Education & Health, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what World Bank Education & Health tools were called, what data was returned, and how it influenced the final answer
World Bank Education & Health + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the World Bank Education & Health MCP Server delivers measurable value.
Hybrid search: combine World Bank Education & Health real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query World Bank Education & Health 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 Education & Health for fresh data
Analytical workflows: chain World Bank Education & Health queries with LlamaIndex's data connectors to build multi-source analytical reports
World Bank Education & Health MCP Tools for LlamaIndex (5)
These 5 tools become available when you connect World Bank Education & Health to LlamaIndex via MCP:
get_edu_health_indicator
Get any World Bank education/health indicator by code
get_health_expenditure
Get current health expenditure (% of GDP)
get_infant_mortality
Get infant mortality rate
get_life_expectancy
Get life expectancy at birth
get_literacy_rate
Get adult literacy rate
Example Prompts for World Bank Education & Health in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with World Bank Education & Health immediately.
"Compare life expectancy in Japan versus the global average."
"How has infant mortality improved in India over the last 30 years?"
"Which countries spend the most on education as a percentage of GDP?"
Troubleshooting World Bank Education & Health MCP Server with LlamaIndex
Common issues when connecting World Bank Education & Health to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpWorld Bank Education & Health + LlamaIndex FAQ
Common questions about integrating World Bank Education & Health 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 Education & Health with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
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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 Education & Health to LlamaIndex
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.