How to Use the World Bank Economy MCP in Pydantic AI

Get guaranteed correct World Bank Economy results using Pydantic AI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect World Bank Economy MCP to Pydantic AI

Create your Vinkius account to connect World Bank Economy 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.

GDPR Free for Subscribers

Setup World Bank Economy with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Validate Economic Metrics via MCP Server

Need to know a country's size? Use `get_gdp` and you get the Gross Domestic Product in US$. The best part here is that the response conforms exactly to your defined Pydantic model, so you never have to worry about mismatched fields. This type safety extends when you combine it with `get_inflation`. If the API sends back garbage data, your agent fails loudly—you know immediately if the results are trustworthy.

Build Type-Safe Economic Analysis

`get_gdp_growth` returns a predictable percentage value. You can use this alongside `get_economy_indicator` knowing that every field you write code against is validated at runtime. No silent corruption, period. This focus on correctness means your agent won't break just because the World Bank changes an internal data structure.

Reliable Data Retrieval with MCP Server

To get a specific piece of info, call `get_economy_indicator` by its code. The response is immediately validated against your schema, making the raw economic data usable right away. Because it's model-agnostic, this validation works whether you’re using OpenAI, Gemini, or running locally—the data contract stays solid.

Setup guide

Set up World Bank Economy 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-economy-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 Economy tools.",
)

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by World Bank Open Data. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect World Bank Economy now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about World Bank Economy MCP in Pydantic AI

You pass the MCP toolset to your agent. The system handles the connection, and every time an economic indicator is returned—like from `get_gdp`—it's immediately validated against a Pydantic model.

Yes. The core feature is the runtime validation. If the server provides an unexpected output for `get_inflation`, your agent fails with a clear error, preventing incorrect calculations down the line.

It gives you core financial metrics like annual GDP growth percentages and general indicators. The key benefit is that this data comes back structured, which makes it reliable for your Python code.

You treat the MCP Server as a guaranteed data source. Its output adheres to strict types, meaning you can plug those economic values into any other function or database layer without worrying about type errors.

The server touches structured numerical and percentage data: current US$ currency values for GDP, and annual percentages for inflation. This is economic indicator data.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript