Finmo MCP Server for Pydantic AI 12 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
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 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.
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 Finmo integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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.
Type-safe data pipelines: query Finmo with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Finmo tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Finmo and output structured, schema-compliant notifications
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:
create_customer
Create a new customer
create_payin
Create a new pay-in
create_payout
Create a new payout
get_fx_rate
Get real-time FX rate
list_beneficiaries
List payout beneficiaries
list_customers
List customers
list_payin_methods
List pay-in methods
list_payins
List pay-ins
list_payouts
List payouts
list_refunds
List refunds
list_virtual_accounts
List virtual accounts
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.
"What are the available pay-in methods for Singapore (SG) in SGD?"
"Show me the current balance of all my organization wallets."
"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.
MCPServerHTTP not found
pip install --upgrade pydantic-aiFinmo + Pydantic AI FAQ
Common questions about integrating Finmo MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
Connect Finmo with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
