World Bank Climate & Energy MCP Server for Mastra AI 5 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect World Bank Climate & Energy through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"world-bank-climate-energy": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "World Bank Climate & Energy Agent",
instructions:
"You help users interact with World Bank Climate & Energy " +
"using 5 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with World Bank Climate & Energy?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and World Bank Climate & Energy tool infrastructure. Connect 5 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the World Bank Climate & Energy MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 5 tools from World Bank Climate & Energy via MCP
Why Use Mastra AI with the World Bank Climate & Energy MCP Server
Mastra AI provides unique advantages when paired with World Bank Climate & Energy through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add World Bank Climate & Energy without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every World Bank Climate & Energy tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
World Bank Climate & Energy + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the World Bank Climate & Energy MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query World Bank Climate & Energy, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed World Bank Climate & Energy as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query World Bank Climate & Energy on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using World Bank Climate & Energy tools alongside other MCP servers
World Bank Climate & Energy MCP Tools for Mastra AI (5)
These 5 tools become available when you connect World Bank Climate & Energy to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting World Bank Climate & Energy to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpWorld Bank Climate & Energy + Mastra AI FAQ
Common questions about integrating World Bank Climate & Energy MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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Connect World Bank Climate & Energy to Mastra AI
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.