Chargebee MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Cancel Subscription, Create Customer, Create Subscription, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Chargebee 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 App Connector for LlamaIndex
The Chargebee app connector for LlamaIndex is a standout in the Money Moves category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Chargebee. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Chargebee?"
)
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 Chargebee MCP Server
Connect your Chargebee site to any AI agent and take full control of your billing workflows through natural conversation.
LlamaIndex agents combine Chargebee 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
- Subscription Lifecycle — List active, trialing, or cancelled subscriptions and inspect their metadata
- Customer Management — Query profiles, billing info, and contact details for any customer in your database
- Invoicing & Payments — Track paid, pending, and overdue invoices to stay on top of your revenue
- Product Catalog — List available plans and addons to understand your current offerings
- Actionable Workflows — Create customers, start new subscriptions, or cancel existing ones programmatically
The Chargebee 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.
All 10 Chargebee tools available for LlamaIndex
When LlamaIndex connects to Chargebee through Vinkius, your AI agent gets direct access to every tool listed below — spanning recurring-billing, revenue-operations, subscription-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Cancel an existing subscription
Create a new customer profile
Create a new subscription for a customer
Get details for a specific customer
Get details for a specific subscription
List available product addons
List Chargebee customers
Can be filtered by status or customer. List Chargebee invoices
List available product plans
Supports filtering via optional parameters. List Chargebee subscriptions
Connect Chargebee to LlamaIndex via MCP
Follow these steps to wire Chargebee into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Chargebee MCP Server
LlamaIndex provides unique advantages when paired with Chargebee through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Chargebee tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Chargebee tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Chargebee, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Chargebee tools were called, what data was returned, and how it influenced the final answer
Chargebee + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Chargebee MCP Server delivers measurable value.
Hybrid search: combine Chargebee real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Chargebee 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 Chargebee for fresh data
Analytical workflows: chain Chargebee queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Chargebee in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Chargebee immediately.
"List all active subscriptions in Chargebee."
"Show me details for customer 'cust_789'."
"Find all overdue invoices."
Troubleshooting Chargebee MCP Server with LlamaIndex
Common issues when connecting Chargebee to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpChargebee + LlamaIndex FAQ
Common questions about integrating Chargebee MCP Server with LlamaIndex.