Highnote MCP Server for Pydantic AI 11 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Highnote through the 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 Highnote "
"(11 tools)."
),
)
result = await agent.run(
"What tools are available in Highnote?"
)
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 Highnote MCP Server
Connect your Highnote card platform to any AI agent and take full control of your card issuance, financial accounts, and ledger through natural conversation.
Pydantic AI validates every Highnote tool response against typed schemas, catching data inconsistencies at build time. Connect 11 tools through the 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
- Account Holder Oversight — List and retrieve details for individuals and businesses holding accounts in your program.
- Card Management — List virtual and physical cards, monitor their operational status, and freeze or close them directly from the chat.
- Financial Account Monitoring — Access real-time balances and metadata for all your financial ledger accounts.
- Transaction Tracking — List and inspect recent spending and processing transactions with detailed merchant metadata.
- Ledger Insights — Retrieve individual ledger entries for reconciliation and audit purposes.
- Program Visibility — List all available card products and programs configured in your Highnote account.
The Highnote MCP Server exposes 11 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 Highnote to Pydantic AI via MCP
Follow these steps to integrate the Highnote 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 11 tools from Highnote with type-safe schemas
Why Use Pydantic AI with the Highnote MCP Server
Pydantic AI provides unique advantages when paired with Highnote 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 Highnote integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Highnote connection logic from agent behavior for testable, maintainable code
Highnote + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Highnote MCP Server delivers measurable value.
Type-safe data pipelines: query Highnote with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Highnote tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Highnote and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Highnote responses and write comprehensive agent tests
Highnote MCP Tools for Pydantic AI (11)
These 11 tools become available when you connect Highnote to Pydantic AI via MCP:
get_api_profile
Retrieve information about the authenticated API user
get_financial_account
Get detailed balance and metadata for a specific financial account
get_payment_card_details
Get detailed information for a specific card
get_transaction_details
Get detailed metadata for a specific transaction
list_account_holders
Use this to find the unique ID for a person or business. List individuals and businesses who hold accounts in Highnote
list_card_products
List the different card programs (e.g., Consumer, Fleet) available in your Highnote account
list_financial_accounts
List all financial accounts and their current balances
list_financial_transactions
List recent spending and processing transactions
list_ledger_entries
Useful for reconciliation. List individual ledger entries for a financial account
list_payment_cards
Monitor card status and expiration details. List virtual and physical cards issued in your program
update_card_status
Valid statuses: ACTIVE, FROZEN, CLOSED. Change the status of a card (e.g., ACTIVE, FROZEN, CLOSED)
Example Prompts for Highnote in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Highnote immediately.
"List all financial accounts and show their current balances."
"Show the last 5 transactions for card ending in 4492."
"Freeze card ID 'card_992' immediately."
Troubleshooting Highnote MCP Server with Pydantic AI
Common issues when connecting Highnote to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiHighnote + Pydantic AI FAQ
Common questions about integrating Highnote 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 Highnote 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 Highnote to Pydantic AI
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.