World Bank Climate & Energy MCP Server for LlamaIndex 5 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add World Bank Climate & Energy as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
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 Climate & Energy. "
"You have 5 tools available."
),
)
response = await agent.run(
"What tools are available in World Bank Climate & Energy?"
)
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 Climate & Energy MCP Server
Turn your AI into a climate change researcher by connecting it directly to the World Bank's environmental metrics.
LlamaIndex agents combine World Bank Climate & Energy tool responses with indexed documents for comprehensive, grounded answers. Connect 5 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
- 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 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 Climate & Energy to LlamaIndex via MCP
Follow these steps to integrate the World Bank Climate & Energy 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 5 tools from World Bank Climate & Energy
Why Use LlamaIndex with the World Bank Climate & Energy MCP Server
LlamaIndex provides unique advantages when paired with World Bank Climate & Energy through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine World Bank Climate & Energy tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain World Bank Climate & Energy tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query World Bank Climate & Energy, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what World Bank Climate & Energy tools were called, what data was returned, and how it influenced the final answer
World Bank Climate & Energy + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the World Bank Climate & Energy MCP Server delivers measurable value.
Hybrid search: combine World Bank Climate & Energy real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query World Bank Climate & Energy 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 Climate & Energy for fresh data
Analytical workflows: chain World Bank Climate & Energy queries with LlamaIndex's data connectors to build multi-source analytical reports
World Bank Climate & Energy MCP Tools for LlamaIndex (5)
These 5 tools become available when you connect World Bank Climate & Energy to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting World Bank Climate & Energy to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpWorld Bank Climate & Energy + LlamaIndex FAQ
Common questions about integrating World Bank Climate & Energy 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 Climate & Energy with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
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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 Climate & Energy to LlamaIndex
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.