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Orb MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Cancel Subscription, Create Customer, Create Ledger Entry, and more

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Orb as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this MCP Server for LlamaIndex

The Orb MCP Server for LlamaIndex 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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Orb. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())
Orb
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.

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.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 10 tools from Orb

Why Use LlamaIndex with the Orb MCP Server

LlamaIndex provides unique advantages when paired with Orb through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Orb tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Orb tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Orb, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Orb tools were called, what data was returned, and how it influenced the final answer

Orb + LlamaIndex Use Cases

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

01

Hybrid search: combine Orb real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Orb to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Orb for fresh data

04

Analytical workflows: chain Orb queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Orb in LlamaIndex

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

01

"List the last 5 customers created in Orb."

02

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

03

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

Troubleshooting Orb MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Orb + LlamaIndex FAQ

Common questions about integrating Orb MCP Server with LlamaIndex.

01

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.
02

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.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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