How to Use the Tradier MCP in Pydantic AI

Q: How do I confirm account balances using Tradier and Pydantic AI?

The agent calls getaccountbalances. Because of the Pydantic validation layer, you're guaranteed that the returned balance types match your expected schema. It's extremely reliable.

Q: Can I manage order status with Tradier and Pydantic AI?

Yes. Use getorderstatus to check an order's current state. The type-safe nature ensures that the returned statuses (e.g., 'FILLED', 'PENDING') are always recognizable.

Q: What kind of trades can I place with Tradier and Pydantic AI?

You use placeorder for both equity and option trades. The validation layer ensures that the trade parameters passed to this MCP Server are correctly formatted before execution.

Ensure data correctness for trading with Pydantic AI and Tradier.

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Setup Tradier with Pydantic AI

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Execute trades with type-safe validation.

When your agent calls `place_order`, you get guaranteed correct responses because of the runtime model validation. You can also manage open positions by calling `get_account_positions`. The system makes sure every piece of trade data is exactly what it should be. This type-safe approach means less risk of silent corruption when using this MCP Server for critical transactions.

Validate complex market datasets.

Need historical context? `get_historical_data` pulls price bars, and Pydantic validates that the date structures are correct. The same applies to option chains retrieved by `get_option_chains`. If the API sends back unexpected data for quotes (`get_quotes`), your agent fails loudly. That's what you want when dealing with money.

Verify account integrity and status.

Before placing any order, your agent checks `get_account_balances` to confirm buying power. It also reviews the full activity log using `get_account_history`. This MCP Server validates all these financial structures. You can check an order's life cycle status with `get_order_status`, knowing that if the data structure is wrong, your agent won't proceed.

Setup guide

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

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

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

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Common questions about Tradier MCP in Pydantic AI

The agent calls `get_account_balances`. Because of the Pydantic validation layer, you're guaranteed that the returned balance types match your expected schema. It's extremely reliable.

Yes. Use `get_order_status` to check an order's current state. The type-safe nature ensures that the returned statuses (e.g., 'FILLED', 'PENDING') are always recognizable.

You use `place_order` for both equity and option trades. The validation layer ensures that the trade parameters passed to this MCP Server are correctly formatted before execution.

It provides historical price bars, real-time quotes, and option chains. All these datasets pass through strict validation, so your agent trusts the numbers it receives.

This server touches account balances, buying power, and trade history details. Every interaction with `get_account_balances` is strictly validated by Pydantic models to ensure correctness.

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