How to Use the iLEVEL (S&P Global) MCP in Pydantic AI

Use Pydantic AI to enforce strict data schemas when querying your iLEVEL (S&P Global) investment data.

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Connect iLEVEL (S&P Global) MCP to Pydantic AI

Create your Vinkius account to connect iLEVEL (S&P Global) 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 iLEVEL (S&P Global) with Pydantic AI

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Perplexity

Type-safe investment data for Pydantic AI

Every response from `get_investment` is validated against your Pydantic models. If the API schema shifts, your agent catches it immediately. This ensures your financial logic never runs on malformed data. It stops bad data from propagating through your system.

Validated portfolio listing in Pydantic AI

Fetch portfolio lists using `list_portfolios` with full type safety. Your agent receives clean, predictable data structures every time. It eliminates the need for manual parsing or guess-work. You define the model, and the agent enforces the contract at runtime.

Reliable system status checks

Use `get_status` to verify system health before triggering sensitive financial workflows. It ensures your Pydantic AI agent only acts when the API is ready. You build more resilient agents by checking these states. It is a simple way to avoid runtime failures during data ingestion.

Setup guide

Set up iLEVEL (S&P Global) 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": {
        "ilevel-sp-global-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to iLEVEL (S&P Global) tools.",
)

result = await agent.run("List recent iLEVEL (S&P Global) transactions")
print(result.output)

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Common questions about iLEVEL (S&P Global) MCP in Pydantic AI

Define strict Pydantic models for every tool output. The framework will reject any response that does not match your expected structure.

No. The server runs on Vinkius, and you connect your Pydantic AI agent to the provided endpoint via HTTP or SSE.

Your agent will raise a validation error. This prevents corrupted data from entering your processing pipeline.

Yes. The server is model-agnostic. As long as your agent supports MCP toolsets, it will work with local or remote models.

Your data is transmitted over encrypted channels only. The server does not maintain a database of your financial records.

Use it with your favorite AI tools

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

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