2,500+ MCP servers ready to use
Vinkius

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

Built by Vinkius GDPR 12 Tools SDK

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

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 Finmo "
            "(12 tools)."
        ),
    )

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

asyncio.run(main())
Finmo
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 Finmo MCP Server

Connect your Finmo account to any AI agent and automate your global treasury and payment operations through the Model Context Protocol (MCP). Finmo provides a unified platform for managing multi-currency liquidity, local collection methods, and cross-border disbursements, now accessible directly through natural conversation.

Pydantic AI validates every Finmo tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through 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

  • Global Pay-ins — List available local collection methods across different countries and initiate pay-ins effortlessly.
  • Simplified Payouts — Manage your disbursements globally by listing and initiating payouts to verified beneficiaries.
  • Wallet Management — Get a real-time overview of your organization's wallets and balances across various currencies.
  • Customer & Beneficiary Control — Maintain your database of customers and payout beneficiaries to ensure secure and accurate transactions.
  • Real-time FX Rates — Fetch live foreign exchange quotes to make informed decisions on currency conversions and international transfers.
  • Virtual Accounts — List and manage virtual accounts for streamlined reconciliation and local payment acceptance.
  • Transaction Monitoring — Track the status of refunds and historical payments to keep your financial records in sync.

The Finmo 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 Finmo to Pydantic AI via MCP

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

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

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

04

Explore tools

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

Why Use Pydantic AI with the Finmo MCP Server

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

01

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

02

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

03

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

04

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

Finmo + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Finmo MCP Tools for Pydantic AI (12)

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

01

create_customer

Create a new customer

02

create_payin

Create a new pay-in

03

create_payout

Create a new payout

04

get_fx_rate

Get real-time FX rate

05

list_beneficiaries

List payout beneficiaries

06

list_customers

List customers

07

list_payin_methods

List pay-in methods

08

list_payins

List pay-ins

09

list_payouts

List payouts

10

list_refunds

List refunds

11

list_virtual_accounts

List virtual accounts

12

list_wallets

List organization wallets

Example Prompts for Finmo in Pydantic AI

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

01

"What are the available pay-in methods for Singapore (SG) in SGD?"

02

"Show me the current balance of all my organization wallets."

03

"Get a live exchange rate to sell 1000 USD for EUR."

Troubleshooting Finmo MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Finmo + Pydantic AI FAQ

Common questions about integrating Finmo MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

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

Connect Finmo to Pydantic AI

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.