How to Use the Export Parity Calculator MCP in Pydantic AI
Calculate type-safe grain export margins and farm-gate pricing with strict runtime validation using Pydantic AI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Export Parity Calculator MCP to Pydantic AI
Create your Vinkius account to connect Export Parity Calculator to Pydantic AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Validate Arbitrage Spreads at Runtime
The `analyze_market_opportunity` tool compares domestic and export bids to find the most profitable market. Pydantic AI validates the returned pricing structure immediately to prevent corrupt trade data from entering your database. If the market API returns an unexpected format, the agent fails loudly instead of processing bad math. This keeps your trading pipeline clean and predictable.
Strict Type-Safe Freight Costing
We use `get_transportation_rate` to pull freight costs per kilometer for rail or vessel transport. The framework guarantees that the returned rate is a valid float before your code executes the next step. You do not have to worry about silent type mismatches in your shipping calculations. The MCP configuration through Vinkius handles the connection while the framework enforces the types.
Guaranteed Net Farm-Gate Calculations in Pydantic AI
The `calculate_farm_gate_parity` tool deducts logistics costs and taxes from the final port price. This yields the exact net value of the crop at the farm gate. Since this MCP returns strictly typed models, your agent can write the results to your ERP with zero parsing errors. You get reliable financial metrics for every grain shipment.
Set up Export Parity Calculator 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 deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith 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 callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"export-parity-calculator-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Export Parity Calculator tools.",
)
result = await agent.run("List recent Export Parity Calculator transactions")
print(result.output) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Export Parity Calculator. 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.
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Common questions about Export Parity Calculator MCP in Pydantic AI
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