How to Use the oboloo MCP in Pydantic AI

Q: How do I configure oboloo with Pydantic AI?

Import the MCPToolset and point it to your server URL. Pydantic AI handles the type validation automatically for every tool response.

Connect oboloo to Pydantic AI for type-safe procurement operations that validate every response against your exact data schemas.

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Connect oboloo MCP to Pydantic AI

Create your Vinkius account to connect oboloo 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 oboloo with Pydantic AI

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Type-Safe Contract Retrieval for Pydantic AI

Your agent calls `get_contract` to fetch agreement data, which is immediately validated against your Pydantic models. You get zero silent errors. If the API returns unexpected fields, Pydantic AI rejects the data instantly. This ensures your agent only acts on verified procurement information.

Validated Spend and Savings Data via MCP Server

Use `get_spend_analysis` and `list_savings` to pull financial reports into your agent. Every numeric value is checked for type correctness at runtime. This MCP Server provides a rock-solid foundation for financial tracking. You'll never deal with hallucinated fields or malformed data in your analysis.

Streamlined Approval Workflows

Your agent checks `list_approvals` to find pending procurement tasks. It enforces strict validation on each entry before suggesting a next step. By using `list_categories`, you keep your spend data organized and compliant. Your agent relies on high-fidelity data to drive procurement decisions.

Setup guide

Set up oboloo 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": {
        "oboloo-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent oboloo transactions")
print(result.output)

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Common questions about oboloo MCP in Pydantic AI

Import the `MCPToolset` and point it to your server URL. Pydantic AI handles the type validation automatically for every tool response.

Yes. Every response is checked against your defined Pydantic models. If the data doesn't match, you get a clear validation error immediately.

Yes. The framework is model-agnostic. You can connect this server to local models or any major LLM provider while keeping your type safety.

We enforce zero-trust security. Your connection requires a single endpoint token, and Vinkius ensures all communication happens over encrypted transports.

The server accesses spend category labels, contract line items, and approval request records. Access is strictly scoped to the tools provided.

Use it with your favorite AI tools

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

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