How to Use the freee MCP in Pydantic AI
Build type-safe accounting agents that validate transactions at runtime using the freee MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
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
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": {
"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.
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Common questions about freee MCP in Pydantic AI
Use it with your favorite AI tools
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Start using the freee MCP today
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