How to Use the Expensya MCP in Pydantic AI

Type-safe expense management for Pydantic AI. Ensure every record is valid before it hits your database.

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Connect Expensya MCP to Pydantic AI

Create your Vinkius account to connect Expensya 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 Expensya with Pydantic AI

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Claude

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Validate Expensya inputs

Every tool response from the server is checked against your Pydantic models. If `create_new_expense` returns data that doesn't match your schema, the agent stops immediately. This prevents silent data corruption. You get a clear validation error if any field is missing or malformed.

Query currencies and rates

Your agent calls `list_supported_currencies` to ensure it only processes valid currency codes. It keeps your financial records clean and accurate. This provides a strict layer of safety for global operations. You don't have to worry about the agent hallucinating unsupported currencies.

Review expense history

The agent uses `list_expenses` to audit your records with full type safety. It parses every entry and maps it to your local data structures. You can trust the data flowing into your application. If the server returns unexpected fields, the agent catches it before it impacts your logic.

Setup guide

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

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

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

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Common questions about Expensya MCP in Pydantic AI

It validates the response against your models at runtime. If the API structure changes, you get a clean validation error instead of a crash.

Yes, it uses the MCPToolset to map server responses to your defined Pydantic types. This ensures your agent logic is always working with known data.

Yes, it is model-agnostic. You can swap between different LLMs while keeping your Expensya integration logic exactly the same.

Your authentication is handled via a single endpoint token. The Vinkius sandbox ensures your financial data stays isolated during every request.

It supports SSE transports for real-time updates. You can stream expense exports and process them as they arrive in your agent.

Use it with your favorite AI tools

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

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