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How to Use the freee MCP in Pydantic AI

Build type-safe accounting agents that validate transactions at runtime using the freee MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

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Pydantic AI

Connect freee MCP to Pydantic AI

Create your Vinkius account to connect freee 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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Type-Safe Ledger Verification with Pydantic AI

Working with financial data means you cannot afford silent errors or hallucinated numbers. This MCP Server ensures that every transaction returned by `list_deals` is validated against strict schemas at runtime. If the API returns unexpected data, your agent fails loudly instead of processing corrupt records. This strict validation keeps your ledger clean and guarantees your automated audits are accurate.

Validate Tax Codes and Expenses Automatically

Compliance errors can lead to heavy tax penalties. Your agent uses `list_taxes` to pull official Japanese tax codes and verifies them against submitted expense reports. By calling `list_expenses`, the agent inspects every claim and flags mismatched tax rates. Pydantic AI guarantees that the parsed tax data matches your internal models before any reports are generated.

Secure Partner and Invoice Tracking

Keep your accounts receivable organized without manual data entry. Your agent can query `list_invoices` to check outstanding balances and match them to client profiles. It uses `get_partner` and `list_partners` to ensure every invoice is tied to a valid business entity. Any missing fields or invalid structures trigger immediate validation errors, keeping your pipeline secure.

Setup guide

Set up freee MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 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": {
        "freee-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent freee 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 freee. 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.

Why Choose Vinkius

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Real-time monitoring

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about freee MCP in Pydantic AI

You import the unified MCP toolset and initialize it with your Vinkius server URL. Pass this toolset to your Agent constructor, and the framework will automatically validate all incoming data schemas.
The framework will raise a validation error instantly, preventing your agent from executing further actions with bad data. This protects your financial pipeline from processing corrupted transaction records.
Yes, this setup is completely model-agnostic. You can run your accounting agent using OpenAI, Anthropic, or local models while maintaining strict type-safety across all nine tools.
Yes, it does. You can connect your agent to the externally hosted server using either transport, depending on your application's architectural requirements.
Your bank balances and wallet details retrieved via `list_walletables` are never stored. All operations run in an ephemeral V8 sandbox that decrypts your credentials on the fly and wipes the session immediately after the tool call completes.

Start using the freee MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 9 tools

We've already built the connector for freee. Just plug in your AI agents and start using Vinkius.

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