World Bank Full Access MCP Server for LangChain 30 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect World Bank Full Access through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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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({
"world-bank-full-access": {
"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 World Bank Full Access, 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 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.
LangChain's ecosystem of 500+ components combines seamlessly with World Bank Full Access through native MCP adapters. Connect 30 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
- 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 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 World Bank Full Access to LangChain via MCP
Follow these steps to integrate the World Bank Full Access 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 30 tools from World Bank Full Access via MCP
Why Use LangChain with the World Bank Full Access MCP Server
LangChain provides unique advantages when paired with World Bank Full Access through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine World Bank Full Access 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 World Bank Full Access queries for multi-turn workflows
World Bank Full Access + LangChain Use Cases
Practical scenarios where LangChain combined with the World Bank Full Access MCP Server delivers measurable value.
RAG with live data: combine World Bank Full Access tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query World Bank Full Access, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain World Bank Full Access tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every World Bank Full Access tool call, measure latency, and optimize your agent's performance
World Bank Full Access MCP Tools for LangChain (30)
These 30 tools become available when you connect World Bank Full Access to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting World Bank Full Access to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersWorld Bank Full Access + LangChain FAQ
Common questions about integrating World Bank Full Access 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 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 LangChain
Get your token, paste the configuration, and start using 30 tools in under 2 minutes. No API key management needed.