Can I create an expense with a specific currency using the agent?

Yes! The 'create_expense' tool allows you to specify the currency code (e.g., USD, EUR, BRL). You can use the 'list_currencies' tool to find all supported codes.

How do I manage different tax rates for my business?

You can use the 'list_tax_types' tool to see all tax rates configured in your Finmei account. This helps ensuring your recorded expenses have the correct tax data applied.

Is it possible to delete an accidental expense entry?

Absolutely. The 'delete_expense' tool allows you to remove any expense record by providing its unique UUID. Just ask your agent to find the expense first if you need the ID.

Finmei MCP Server for Pydantic AI 12 tools — connect in under 2 minutes

Name: Finmei
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Finmei through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Finmei "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Finmei?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Finmei MCP Server

Connect your Finmei account to any AI agent and automate your financial operations through the Model Context Protocol (MCP). Finmei is the ideal companion for freelancers and small businesses that need to track expenses and manage invoices without the complexity of traditional accounting software.

Pydantic AI validates every Finmei tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Expense Tracking — Digitally record and list all business expenses. Fetch details or delete entries directly through natural conversation.
Tax Management — List and manage your tax types (Tax Rates) to ensure your financial records are always accurate and compliant.
Payment Monitoring — Keep track of all payments associated with your business. List recent payments or drill down into specific transaction details.
Business Profiling — Access your business profile metadata to ensure your agent has the right context for generating reports or invoices.
Global Support — Fetch supported currencies and manage international transactions with support for over 180 currencies.
Category Organization — Organize your finances by listing and applying expense categories to your records.

The Finmei MCP Server exposes 12 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Finmei to Pydantic AI via MCP

Follow these steps to integrate the Finmei MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 12 tools from Finmei with type-safe schemas

Why Use Pydantic AI with the Finmei MCP Server

Pydantic AI provides unique advantages when paired with Finmei through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Finmei integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Finmei connection logic from agent behavior for testable, maintainable code

Finmei + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Finmei MCP Server delivers measurable value.

Type-safe data pipelines: query Finmei with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Finmei tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Finmei and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Finmei responses and write comprehensive agent tests

Finmei MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect Finmei to Pydantic AI via MCP:

create_expense

Create a new expense

delete_expense

Delete an expense

delete_payment

Delete a payment

get_expense

Get expense details

get_payment

Get payment details

get_profile

Get business profile

list_categories

List expense categories

list_currencies

List supported currencies

list_expenses

List expenses

list_payments

List payments

list_tax_types

List tax rates

update_expense

Update an expense

Example Prompts for Finmei in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Finmei immediately.

"List my 10 most recent business expenses."

"Add a new expense: 'Monthly Internet Subscription', 50 USD, for today."

"Show me all available tax rates for my account."

Troubleshooting Finmei MCP Server with Pydantic AI

Common issues when connecting Finmei to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Finmei + Pydantic AI FAQ

Common questions about integrating Finmei MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Finmei MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.