How do I get started?

Our World Bank Open Data servers require absolutely zero authentication. You do not need to register, get an API key, or setup webhooks. Just instantly connect and your AI agent can begin querying decades of global data.

How does the AI know which of the 29,506 indicators to use?

The server includes an incredibly powerful `search_indicators` tool. The agent can search by concept (like 'Renewable Energy') and the server returns the precise indicator codes (like 'EG.FEC.RNEW.ZS') needed to pull the data directly.

Is there any rate limit or API key required to process deep geographical queries?

No! This provides frictionless access across the massive public array without writing SDK codes or navigating Webhooks; just connect instantly to the largest global indicator pool on earth.

What is the scale of the data I can access?

You have direct access to 64 years of historical data covering 196+ sovereign states and global regional aggregates, powered directly by the World Bank's robust open data initiatives.

World Bank Full Access MCP Server for CrewAI 30 tools — connect in under 2 minutes

Name: World Bank Full Access
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 30 Tools Framework

Connect your CrewAI agents to World Bank Full Access through the Vinkius — pass the Edge URL in the `mcps` parameter and every World Bank Full Access tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="World Bank Full Access Specialist",
    goal="Help users interact with World Bank Full Access effectively",
    backstory=(
        "You are an expert at leveraging World Bank Full Access tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token — get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in World Bank Full Access "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 30 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

When paired with CrewAI, World Bank Full Access becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call World Bank Full Access tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the World Bank Full Access MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py — CrewAI auto-discovers 30 tools from World Bank Full Access

Why Use CrewAI with the World Bank Full Access MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with World Bank Full Access through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

World Bank Full Access + CrewAI Use Cases

Practical scenarios where CrewAI combined with the World Bank Full Access MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries World Bank Full Access for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries World Bank Full Access, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain World Bank Full Access tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries World Bank Full Access against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

World Bank Full Access MCP Tools for CrewAI (30)

These 30 tools become available when you connect World Bank Full Access to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting World Bank Full Access to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts — check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

World Bank Full Access + CrewAI FAQ

Common questions about integrating World Bank Full Access MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily — when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.