World Bank Full Access MCP Server for LlamaIndex 30 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add World Bank Full Access as an MCP tool provider through the 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 Full Access. "
"You have 30 tools available."
),
)
response = await agent.run(
"What tools are available in World Bank Full Access?"
)
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 Full Access MCP Server
The definitive Mega-Server for AI-driven statistical research. Why choose one domain when your AI agent can have them all? This server bundles 30 native tools covering every single World Bank macro-category into a single powerhouse integration.
LlamaIndex agents combine World Bank Full Access tool responses with indexed documents for comprehensive, grounded answers. Connect 30 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
- Omni-Disciplinary Toolkit — 30 native shortcuts for instant access to: Economy, Healthcare, Education, Demographics, Climate Change, Gender, Technology, Agriculture, Trade, and External Debt.
- Universal Indicator Access — A semantic discovery engine allows your agent to dynamically crawl and request any of the remaining 29,506 indicators.
- Taxonomy Masters — Built-in cross-referencing for the entire global ISO country registry, regional mappings, and income-level classifications.
The World Bank Full Access MCP Server exposes 30 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 Full Access to LlamaIndex via MCP
Follow these steps to integrate the World Bank Full Access 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 30 tools from World Bank Full Access
Why Use LlamaIndex with the World Bank Full Access MCP Server
LlamaIndex provides unique advantages when paired with World Bank Full Access through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine World Bank Full Access tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain World Bank Full Access tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query World Bank Full Access, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what World Bank Full Access tools were called, what data was returned, and how it influenced the final answer
World Bank Full Access + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the World Bank Full Access MCP Server delivers measurable value.
Hybrid search: combine World Bank Full Access real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query World Bank Full Access 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 Full Access for fresh data
Analytical workflows: chain World Bank Full Access queries with LlamaIndex's data connectors to build multi-source analytical reports
World Bank Full Access MCP Tools for LlamaIndex (30)
These 30 tools become available when you connect World Bank Full Access to LlamaIndex via MCP:
get_agriculture_gdp
Get Agriculture, forestry, and fishing, value added (% of GDP)
get_co2_emissions
Get CO2 emissions (metric tons per capita)
get_electricity_access
Get access to electricity (% of population)
get_exports
Get exports of goods/services (% of GDP)
get_external_debt
Get Total external debt stocks (% of GNI)
get_fdi
Get Foreign Direct Investment, net inflows (% of GDP)
get_forest_area
Get forest area (% of land area)
get_gdp
Get Gross Domestic Product (GDP) in current US$
get_gdp_growth
Get annual GDP growth percentage
get_gini_index
Get Gini index
get_health_expenditure
Get current health expenditure (% of GDP)
get_indicator_data
g. SP.POP.TOTL) and country code (e.g. BRA, WLD). Get any World Bank indicator for any country/region
get_infant_mortality
Get infant mortality rate
get_inflation
Get inflation rate (consumer prices, annual %)
get_internet_usage
Get Individuals using the Internet (% of population)
get_labor_force
Get total labor force
get_life_expectancy
Get life expectancy at birth
get_literacy_rate
Get adult literacy rate
get_population_growth
Get annual population growth percentage
get_poverty
15 a day at 2017 international prices. Get poverty headcount ratio at $2.15 a day
get_renewable_energy
Get renewable energy consumption (% of total)
get_research_dev_expenditure
Get Research and development expenditure (% of GDP)
get_total_population
Get total population
get_unemployment_rate
Get unemployment total (% of labor force)
get_women_in_parliament
Get Proportion of seats held by women in national parliaments (%)
list_countries
List World Bank countries
list_topics
List all World Bank Topics (Categories)
search_income_levels
g., HIC, LIC). List World Bank income levels
search_indicators
Search term is required. Search the catalog of 29,506 World Bank indicators
search_regions
List World Bank geographic regions
Example Prompts for World Bank Full Access in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with World Bank Full Access immediately.
"Search for gender-related indicators and pull data for Nordic countries."
"What topics are available in the World Bank data catalog?"
"Find an indicator for 'women in parliament' and get data for the G7 countries."
Troubleshooting World Bank Full Access MCP Server with LlamaIndex
Common issues when connecting World Bank Full Access to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpWorld Bank Full Access + LlamaIndex FAQ
Common questions about integrating World Bank Full Access 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 Full Access 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 World Bank Full Access to LlamaIndex
Get your token, paste the configuration, and start using 30 tools in under 2 minutes. No API key management needed.