Bring Usage Based Billing
to CrewAI
Learn how to connect Orb to CrewAI 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 SubscribersCompatible with every major AI agent and IDE
Gemini
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 a subscription
Requires name and email. Create a new customer in Orb
Create a ledger entry for credits
Create a subscription for a customer
Fetch credit ledger for a customer
Fetch upcoming invoice for a subscription
Events require customer_id, event_name, timestamp, idempotency_key, and properties. Ingest usage events into Orb
List customers in Orb
List invoices
Update an existing subscription
Why CrewAI?
When paired with CrewAI, Orb becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Orb tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Orb in CrewAI
Orb and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Orb to CrewAI 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.
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 |
Why teams choose Vinkius for Orb in CrewAI
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 CrewAI 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.
* 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
How Vinkius secures
Orb for CrewAI
Every tool call from CrewAI to the Orb MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
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 CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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