Pydantic AISDK

Orb MCP Server

Bring Usage Based Billing
to Pydantic AI

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

Learn how to connect Orb to Pydantic AI and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Cancel SubscriptionCreate CustomerCreate Ledger EntryCreate SubscriptionFetch LedgerGet Upcoming InvoiceIngest EventsList CustomersList InvoicesUpdate Subscription

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

What is the Orb MCP Server?

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

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.

How it works

Subscribe to this server
Enter your Orb API Key
Start managing your billing and usage data from Claude, Cursor, or any MCP-compatible client

Who is this for?

Finance & RevOps — Instantly check upcoming revenue and manage customer credits without manual dashboard exports.
Engineering Teams — Debug usage ingestion and verify event delivery directly from the terminal or IDE.
Product Managers — Monitor feature adoption and subscription statuses across the customer base.

Built-in capabilities (10)

cancel_subscription

Cancel a subscription

create_customer

Requires name and email. Create a new customer in Orb

create_ledger_entry

Create a ledger entry for credits

create_subscription

Create a subscription for a customer

fetch_ledger

Fetch credit ledger for a customer

get_upcoming_invoice

Fetch upcoming invoice for a subscription

ingest_events

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

list_customers

List customers in Orb

list_invoices

List invoices

update_subscription

Update an existing subscription

Why Pydantic AI?

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.

—
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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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

See it in action

Orb in Pydantic AI

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

Orb and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Orb to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for Pydantic AI →

Enterprise Security

Why teams choose Vinkius for Orb in Pydantic AI

The Orb 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. All 10 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full Orb details →

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

The Vinkius Advantage

How Vinkius secures
Orb for Pydantic AI

Every tool call from Pydantic AI to the Orb MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

How do I report usage events for a specific customer?

Use the ingest_events tool. You'll need to provide an array of event objects containing the customer_id, event_name, timestamp, and an idempotency_key to ensure usage is only counted once.

Can I see how much a customer will be charged before the billing cycle ends?

Yes! The get_upcoming_invoice tool allows you to fetch the draft invoice for any active subscription_id, giving you real-time visibility into accrued costs.

How do I manage prepaid credits or balances?

You can use create_ledger_entry to add or remove credits from a customer's balance. You can also use fetch_ledger to view the current state of a customer's credit ledger.

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.