How to Use the World Bank Climate & Energy MCP in Pydantic AI

Q: Can I query multiple World Bank Climate & Energy metrics with Pydantic AI?

Yes. Your agent can call getclimateindicator and then immediately use the results from a second tool, like getelectricityaccess, knowing both data sets conform to your predefined schemas.

Ensure climate data integrity with the Pydantic AI framework.

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Connect World Bank Climate & Energy MCP to Pydantic AI

Create your Vinkius account to connect World Bank Climate & Energy to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup World Bank Climate & Energy with Pydantic AI

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Validate World Bank Climate & Energy Data via MCP Server

The `get_climate_indicator` tool fetches any required World Bank indicator by code. The real value here is that your agent validates the output against a Pydantic model, guaranteeing structure. You get clean data immediately. If the server sends anything unexpected—say, an unlisted field—the agent fails loudly; you never have to worry about silent corruption.

Handle Complex Climate Data with Pydantic AI

Use `get_forest_area` for forest coverage percentages. The framework ensures that the returned value is exactly a float, not a string or an integer. This level of type safety eliminates guesswork. Similarly, when calling `get_co2_emissions`, you know the output structure is correct before your code even touches it.

Guarantee Accuracy Across World Bank Climate & Energy Tools

Calling `get_renewable_energy` gives you a percentage. Pydantic AI validates that this value exists and belongs to the expected type, making your pipelines reliable. This correctness matters when comparing multiple metrics like forest area versus electricity access.

Setup guide

Set up World Bank Climate & Energy MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "world-bank-climate-energy-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to World Bank Climate & Energy tools.",
)

result = await agent.run("List recent World Bank Climate & Energy transactions")
print(result.output)

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Common questions about World Bank Climate & Energy MCP in Pydantic AI

You pass the MCP toolset to your Agent. The agent uses the server’s functions, but critically, it wraps all responses in runtime validation checks against defined Python models.

The server touches indicators, percentages of land area, and resource usage metrics measured in metric tons per capita. The Pydantic validation enforces strict typing on all these fields.

Yes. Your agent can call `get_climate_indicator` and then immediately use the results from a second tool, like `get_electricity_access`, knowing both data sets conform to your predefined schemas.

Absolutely. If correctness is more important than speed, Pydantic AI is it. The loud failure mechanism means you catch bad API responses before they break your application logic.

The server supplies indicators, percentages of population access, and resource usage metrics measured in metric tons per capita. These are all validated upon receipt by the agent.

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