How to Use the Chargebee MCP in LlamaIndex

Q: Can LlamaIndex search through Chargebee invoice data?

Yes, it does this perfectly. Your agent calls listinvoices and embeds the returned data so you can run semantic searches across your billing history.

Index live Chargebee subscriptions into your LlamaIndex knowledge base to build RAG apps that actually understand your revenue.

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Connect Chargebee MCP to LlamaIndex

Create your Vinkius account to connect Chargebee to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Chargebee with LlamaIndex

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Index Chargebee MCP Server Data

This MCP server feeds your active subscription data directly into a queryable LlamaIndex vector store. Instead of just firing off a request, your application runs `list_subscriptions` and embeds the results. You build a searchable index of your active revenue. Now your RAG pipeline has real-time billing context. When someone asks about enterprise tier usage, the system queries the index instead of guessing. It grounds every answer in actual API responses.

Query Customer Profiles

Your FunctionAgent uses this integration to extract and synthesize exact customer profiles. Finding specific user details across thousands of accounts takes too long manually. You give the agent access to the `get_customer` tool, and it pulls the raw JSON instantly. Combine this with `list_invoices` to build a complete financial picture of any account. The agent fetches the data through the MCP connection and structures it. Your queryable knowledge base grows smarter with every API call.

Map Product Catalogs

Your application pulls the current product catalog to keep pricing data accurate. Tiers change constantly. The system uses `list_plans` and `list_addons` to pull the current options directly from the source. If sales reps need to know which add-ons apply to a legacy plan, they just ask the RAG app. The bot cross-references the indexed catalog. You get accurate, up-to-date combinations every time.

Setup guide

Set up Chargebee MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Chargebee MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Chargebee tools.",
)
response = await agent.run("List recent Chargebee data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Chargebee. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Chargebee MCP in LlamaIndex

Install the LlamaIndex tools package first. Set up a BasicMCPClient with your Vinkius URL, wrap it in an McpToolSpec, and await the tool list to feed your FunctionAgent.

Yes, it does this perfectly. Your agent calls `list_invoices` and embeds the returned data so you can run semantic searches across your billing history.

It handles write operations too. If you allow it, the agent can trigger `create_subscription` based on a user prompt.

You pass a specific list to the allowed tools parameter. If you only want the agent reading data, just give it access to `get_subscription` and keep the mutation tools hidden.

Security is baked into the architecture. We handle your API tokens in an ephemeral zero-trust environment, meaning once your RAG pipeline finishes indexing those subscription numbers, the connection evaporates completely.

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