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AwardWallet MCP Server for Pydantic AI 9 tools — connect in under 2 minutes

Built by Vinkius GDPR 9 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect AwardWallet 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 AwardWallet "
            "(9 tools)."
        ),
    )

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

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

Connect your AwardWallet business account to any AI agent and track your loyalty points, frequent flyer miles, and travel itineraries through natural conversation.

Pydantic AI validates every AwardWallet tool response against typed schemas, catching data inconsistencies at build time. Connect 9 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

  • Loyalty Tracking — Monitor balances, expiration dates, and elite status across hundreds of frequent flyer and reward programs
  • Travel Timelines — Access a unified view of past and upcoming trips, including flights, hotels, and car rentals
  • Itinerary Auditing — Retrieve detailed metadata and confirmation details for trips shared by your connected users
  • User Access Control — List and manage users who have authorized your business to access their travel and loyalty data

The AwardWallet MCP Server exposes 9 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 AwardWallet to Pydantic AI via MCP

Follow these steps to integrate the AwardWallet 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 9 tools from AwardWallet with type-safe schemas

Why Use Pydantic AI with the AwardWallet MCP Server

Pydantic AI provides unique advantages when paired with AwardWallet 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 AwardWallet 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 AwardWallet connection logic from agent behavior for testable, maintainable code

AwardWallet + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

AwardWallet MCP Tools for Pydantic AI (9)

These 9 tools become available when you connect AwardWallet to Pydantic AI via MCP:

01

create_auth_url

Generate an authorization URL for a user to link their AwardWallet account

02

get_account_check

Verify AwardWallet Business API connection

03

get_account_details

Get specific details for a loyalty account

04

get_account_history

Retrieve historical activity for a specific loyalty account

05

get_user_accounts

Retrieve loyalty account list for a specific user

06

get_user_itineraries

Retrieve detailed itineraries for a specific user

07

get_user_timeline

Retrieve the travel timeline for a specific user

08

list_connected_users

List all AwardWallet users who have authorized your business account

09

list_loyalty_providers

List all supported loyalty providers

Example Prompts for AwardWallet in Pydantic AI

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

01

"List all connected users in my AwardWallet account."

02

"Show me the loyalty accounts for user ID '12345'."

03

"Get the travel timeline for user '998877'."

Troubleshooting AwardWallet MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

AwardWallet + Pydantic AI FAQ

Common questions about integrating AwardWallet 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 AwardWallet MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect AwardWallet to Pydantic AI

Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.