Compatible with every major AI agent and IDE
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 LlamaIndex?
LlamaIndex agents combine Orb tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine Orb tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Orb tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Orb, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Orb tools were called, what data was returned, and how it influenced the final answer
Orb in LlamaIndex
Orb and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Orb to LlamaIndex 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 LlamaIndex
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 LlamaIndex 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 LlamaIndex
Every tool call from LlamaIndex 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 LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Orb tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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