Orb MCP Server for Pydantic AIGive Pydantic AI instant access to 10 tools to Cancel Subscription, Create Customer, Create Ledger Entry, and more

Name: Orb
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Orb through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The Orb MCP Server for Pydantic AI is a standout in the Data Management category — giving your AI agent 10 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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 Orb "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())

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 Orb MCP Server

Connect your Orb account to any AI agent to streamline your revenue operations and usage-based billing workflows through natural language.

Pydantic AI validates every Orb tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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

Usage Ingestion — Send batches of usage events with idempotency keys to track consumption in real-time.
Subscription Lifecycle — Create, update, and cancel subscriptions, tying customers to specific billing plans seamlessly.
Customer Management — Provision new customers and list existing ones with full metadata and external ID mapping.
Invoicing & Revenue — List historical invoices or fetch upcoming draft invoices to predict end-of-month billing.
Credit Ledgers — Manage prepaid credits by creating ledger entries for increments, decrements, or expirations.

The Orb MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 10 Orb tools available for Pydantic AI

When Pydantic AI connects to Orb through Vinkius, your AI agent gets direct access to every tool listed below — spanning usage-based-billing, revenue-operations, subscription-management, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

cancel

Cancel subscription on Orb

Cancel a subscription

create

Create customer on Orb

Requires name and email. Create a new customer in Orb

create

Create ledger entry on Orb

Create a ledger entry for credits

create

Create subscription on Orb

Create a subscription for a customer

fetch

Fetch ledger on Orb

Fetch credit ledger for a customer

get

Get upcoming invoice on Orb

Fetch upcoming invoice for a subscription

ingest

Ingest events on Orb

Events require customer_id, event_name, timestamp, idempotency_key, and properties. Ingest usage events into Orb

list

List customers on Orb

List customers in Orb

list

List invoices on Orb

List invoices

update

Update subscription on Orb

Update an existing subscription

Connect Orb to Pydantic AI via MCP

Follow these steps to wire Orb into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 10 tools from Orb with type-safe schemas

Why Use Pydantic AI with the Orb MCP Server

Pydantic AI provides unique advantages when paired with Orb 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 Orb integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Orb connection logic from agent behavior for testable, maintainable code

Orb + Pydantic AI Use Cases

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

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

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

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

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

Example Prompts for Orb in Pydantic AI

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

"List the last 5 customers created in Orb."

"Ingest a usage event for customer cust_123: 50 units of 'api_requests'."

"What is the upcoming invoice amount for subscription sub_987?"

Troubleshooting Orb MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Orb + Pydantic AI FAQ

Common questions about integrating Orb MCP Server with Pydantic AI.

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.

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.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Orb MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

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