World Bank Climate & Energy MCP Server for AutoGen 5 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add World Bank Climate & Energy as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="world_bank_climate_energy_agent",
tools=tools,
system_message=(
"You help users with World Bank Climate & Energy. "
"5 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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 Climate & Energy MCP Server
Turn your AI into a climate change researcher by connecting it directly to the World Bank's environmental metrics.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use World Bank Climate & Energy tools. Connect 5 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the World Bank Climate & Energy MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 5 tools from World Bank Climate & Energy automatically
Why Use AutoGen with the World Bank Climate & Energy MCP Server
AutoGen provides unique advantages when paired with World Bank Climate & Energy through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use World Bank Climate & Energy tools to solve complex tasks
Role-based architecture lets you assign World Bank Climate & Energy tool access to specific agents — a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive World Bank Climate & Energy tool calls
Code execution sandbox: AutoGen agents can write and run code that processes World Bank Climate & Energy tool responses in an isolated environment
World Bank Climate & Energy + AutoGen Use Cases
Practical scenarios where AutoGen combined with the World Bank Climate & Energy MCP Server delivers measurable value.
Collaborative analysis: one agent queries World Bank Climate & Energy while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from World Bank Climate & Energy, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using World Bank Climate & Energy data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process World Bank Climate & Energy responses in a sandboxed execution environment
World Bank Climate & Energy MCP Tools for AutoGen (5)
These 5 tools become available when you connect World Bank Climate & Energy to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting World Bank Climate & Energy to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"World Bank Climate & Energy + AutoGen FAQ
Common questions about integrating World Bank Climate & Energy MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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Connect World Bank Climate & Energy to AutoGen
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.