World Bank Climate & Energy MCP Server for CrewAI 5 tools — connect in under 2 minutes
Connect your CrewAI agents to World Bank Climate & Energy through the Vinkius — pass the Edge URL in the `mcps` parameter and every World Bank Climate & Energy tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from crewai import Agent, Task, Crew
agent = Agent(
role="World Bank Climate & Energy Specialist",
goal="Help users interact with World Bank Climate & Energy effectively",
backstory=(
"You are an expert at leveraging World Bank Climate & Energy 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 Climate & Energy "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 5 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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 Climate & Energy MCP Server
Turn your AI into a climate change researcher by connecting it directly to the World Bank's environmental metrics.
When paired with CrewAI, World Bank Climate & Energy becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call World Bank Climate & Energy 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
- Emissions — Track metric tons of CO2 emissions per capita.
- Renewables — Measure the transition to renewable energy sources globally.
- Conservation — Map the shrinking or growing forest area relative to land mass.
The World Bank Climate & Energy MCP Server exposes 5 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 Climate & Energy to CrewAI via MCP
Follow these steps to integrate the World Bank Climate & Energy 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 5 tools from World Bank Climate & Energy
Why Use CrewAI with the World Bank Climate & Energy MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with World Bank Climate & Energy 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 Climate & Energy + CrewAI Use Cases
Practical scenarios where CrewAI combined with the World Bank Climate & Energy MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries World Bank Climate & Energy 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 Climate & Energy, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain World Bank Climate & Energy 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 Climate & Energy against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
World Bank Climate & Energy MCP Tools for CrewAI (5)
These 5 tools become available when you connect World Bank Climate & Energy to CrewAI via MCP:
get_climate_indicator
Get any World Bank climate/energy indicator by code
get_co2_emissions
Get CO2 emissions (metric tons per capita)
get_electricity_access
Get access to electricity (% of population)
get_forest_area
Get forest area (% of land area)
get_renewable_energy
Get renewable energy consumption (% of total)
Example Prompts for World Bank Climate & Energy in CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with World Bank Climate & Energy immediately.
"What is the renewable energy consumption in Norway compared to the global average?"
"Compare CO2 emissions per capita: USA versus China over the last 20 years."
"How has deforestation progressed in Brazil over the last 30 years?"
Troubleshooting World Bank Climate & Energy MCP Server with CrewAI
Common issues when connecting World Bank Climate & Energy to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
World Bank Climate & Energy + CrewAI FAQ
Common questions about integrating World Bank Climate & Energy MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
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?
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?
Can CrewAI agents call multiple MCP tools in parallel?
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)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Connect World Bank Climate & Energy with your favorite client
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Connect World Bank Climate & Energy to CrewAI
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.