Zuora MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Zuora as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Zuora. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Zuora?"
)
print(response)
asyncio.run(main())
* 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 Zuora MCP Server
Connect your Zuora account to any AI agent and manage your enterprise monetization infrastructure through natural conversation.
LlamaIndex agents combine Zuora tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the 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
- Subscription Lifecycle — List all active and historical subscriptions for any account and retrieve deep details including rate plan charges
- Billing Account Management — Create new billing accounts, retrieve full account metadata, and update customer profiles directly from your agent
- Unified Orders — Create and manage complex Zuora Orders for subscriptions, renewals, or amendments using structured JSON payloads
- Product Catalog Discovery — Browse your entire billable product catalog and available rate plans to understand your monetization inventory
- Invoice Auditing — List and monitor all generated invoices for a specific account to track billing history and payment requirements
- Billing Engine Simulation — Preview subscription charges and generate quotes to verify billing logic before committing any changes
- Deep Discovery — Quickly find unique account, subscription, and order IDs required for automated revenue operations workflows
The Zuora MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Zuora to LlamaIndex via MCP
Follow these steps to integrate the Zuora MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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 Zuora
Why Use LlamaIndex with the Zuora MCP Server
LlamaIndex provides unique advantages when paired with Zuora through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Zuora tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Zuora tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Zuora, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Zuora tools were called, what data was returned, and how it influenced the final answer
Zuora + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Zuora MCP Server delivers measurable value.
Hybrid search: combine Zuora real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Zuora to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Zuora for fresh data
Analytical workflows: chain Zuora queries with LlamaIndex's data connectors to build multi-source analytical reports
Zuora MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Zuora to LlamaIndex via MCP:
create_account
Create a new billing account
create_order
Create a Zuora unified Order
get_account
Get account details
get_invoices
Get invoices for an account
get_order
Get order details
get_subscription
Get subscription details
list_products
List product catalog
list_subscriptions
List account subscriptions
preview_subscription
Preview subscription charges
update_account
Update account details
Example Prompts for Zuora in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Zuora immediately.
"List all active subscriptions for account ID 'acc-123'."
"Show me the last 3 invoices for 'Acme Corp'."
"Preview the charges for subscription 'S-00001'."
Troubleshooting Zuora MCP Server with LlamaIndex
Common issues when connecting Zuora to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpZuora + LlamaIndex FAQ
Common questions about integrating Zuora MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Zuora with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Zuora to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.