Fintoc 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 Fintoc 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 Fintoc "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Fintoc?"
)
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 Fintoc MCP Server
Connect your Fintoc account to any AI agent and automate your open banking and payment operations through the Model Context Protocol (MCP). Fintoc is the leading API for financial integration in Latin America (Chile and Mexico), allowing you to securely access real-time bank data and programmatically initiate transfers.
Pydantic AI validates every Fintoc 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
- Bank Connectivity — List and manage your active bank links to maintain persistent access to financial data.
- Account Inspections — Fetch detailed information for all linked bank accounts, including available balances and holder details.
- Movement History — Retrieve transaction history (movements) for any account with powerful filtering options by date.
- Payment Initiation — Create and monitor payment intents to automate bank transfers directly through the agent.
- Subscription Tracking — List and manage active subscriptions to keep track of recurring payments.
- Institution Discovery — Discover supported banks and financial institutions across different countries (Chile and Mexico).
- Real-time Monitoring — Fetch specific movement details or payment intent statuses to keep your financial operations in sync.
The Fintoc 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 Fintoc to Pydantic AI via MCP
Follow these steps to integrate the Fintoc 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 Fintoc with type-safe schemas
Why Use Pydantic AI with the Fintoc MCP Server
Pydantic AI provides unique advantages when paired with Fintoc 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 Fintoc integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Fintoc connection logic from agent behavior for testable, maintainable code
Fintoc + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Fintoc MCP Server delivers measurable value.
Type-safe data pipelines: query Fintoc with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Fintoc tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Fintoc and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Fintoc responses and write comprehensive agent tests
Fintoc MCP Tools for Pydantic AI (12)
These 12 tools become available when you connect Fintoc to Pydantic AI via MCP:
create_payment_intent
Create a payment intent
get_account
Get account details
get_link
Get link details
get_movement
Get movement details
get_payment_intent
Get payment intent details
get_subscription
Get subscription details
list_accounts
List accounts for a link
list_institutions
List supported institutions
list_links
List all links
list_movements
List movements for an account
list_payment_intents
List payment intents
list_subscriptions
List subscriptions
Example Prompts for Fintoc in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Fintoc immediately.
"List all my bank accounts linked to Fintoc."
"Show me the last 5 transactions for account 'acc_9876'."
"Which banks are supported in Chile (cl)?"
Troubleshooting Fintoc MCP Server with Pydantic AI
Common issues when connecting Fintoc to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiFintoc + Pydantic AI FAQ
Common questions about integrating Fintoc 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 Fintoc 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 Fintoc to Pydantic AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
