Tango MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Create Account, Create Customer, Create Order, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Tango through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The Tango app connector for Pydantic AI is a standout in the Money Moves category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Tango "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Tango?"
)
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 Tango MCP Server
Connect your Tango (formerly Tango Card) reward platform account to any AI agent and simplify how you distribute digital gift cards, manage customers, and monitor funding accounts through natural conversation.
Pydantic AI validates every Tango 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
- Catalog Discovery — Browse the full global catalog of brands, including gift cards, prepaid cards, and non-profit donations.
- Reward Distribution — Place and automate orders for digital rewards delivered via email instantly.
- Customer & Account Management — List, create, and manage customer groups and their associated funding accounts.
- Financial Oversight — Check real-time account balances, list funding sources, and retrieve current exchange rates.
- Order Tracking — Monitor your reward history and fetch detailed status and credentials for specific order IDs.
- Scalable Rewards — Coordinate bulk payouts and loyalty incentives directly from Claude, Cursor, or any MCP client.
The Tango 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.
All 12 Tango tools available for Pydantic AI
When Pydantic AI connects to Tango through Vinkius, your AI agent gets direct access to every tool listed below — spanning gift-cards, rewards-api, incentives, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new funding account
Create a new customer
Place a reward order
Get account balance
List available reward brands
Get customer details
Get currency exchange rates
Get order status
List accounts for a customer
List all customers
List funding sources
List recent orders
Connect Tango to Pydantic AI via MCP
Follow these steps to wire Tango into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Tango MCP Server
Pydantic AI provides unique advantages when paired with Tango 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 Tango integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Tango connection logic from agent behavior for testable, maintainable code
Tango + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Tango MCP Server delivers measurable value.
Type-safe data pipelines: query Tango with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Tango tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Tango and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Tango responses and write comprehensive agent tests
Example Prompts for Tango in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Tango immediately.
"Show me all available gift card brands in the catalog."
"What is the current balance of account 'acc_10293'?"
"Send a $25 Amazon gift card (UTID: AMZN-US-2500) to 'john.doe@example.com'."
Troubleshooting Tango MCP Server with Pydantic AI
Common issues when connecting Tango to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiTango + Pydantic AI FAQ
Common questions about integrating Tango 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.