How to Use the Maxio (SaaS Billing & FinOps) MCP in LlamaIndex

Index your billing data in LlamaIndex to build RAG apps that answer questions about your SaaS revenue and contracts.

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Connect Maxio (SaaS Billing & FinOps) MCP to LlamaIndex

Create your Vinkius account to connect Maxio (SaaS Billing & FinOps) 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 Maxio (SaaS Billing & FinOps) with LlamaIndex

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Index contracts for LlamaIndex

Use `list_contracts` to pull your entire subscription history into a vector store. This lets your LlamaIndex application perform semantic searches across your revenue data. Your agents stop hallucinating about contract terms because they query the live API results. The data becomes a grounded knowledge base for your FinOps team.

Query billing states in LlamaIndex

Call `get_customer` to retrieve specific account details that inform your RAG pipeline. This gives your AI a precise understanding of customer tiers and billing cycles. Combining this with your existing documents creates a unified view of the customer lifecycle. You get answers based on actual financial data, not static reports.

Automate billing lookups in LlamaIndex

Run `list_invoices` to populate your index with recent billing activity. Your assistant can then answer questions about MRR trends or overdue payments in seconds. This setup turns your billing history into a queryable asset. You maintain a persistent, searchable record of all revenue events.

Setup guide

Set up Maxio (SaaS Billing & FinOps) 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 Maxio (SaaS Billing & FinOps) 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 Maxio (SaaS Billing & FinOps) tools.",
)
response = await agent.run("List recent Maxio (SaaS Billing & FinOps) data")

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Common questions about Maxio (SaaS Billing & FinOps) MCP in LlamaIndex

Configure the MCP client in your LlamaIndex project and fetch the tool list. Once the agent executes the tools, the results are indexed into your vector store automatically.

Absolutely. By treating the API output as a knowledge source, your LlamaIndex agents search through customer contracts and invoices to provide grounded answers.

We enforce security at the transport layer using dedicated tokens. Only your specific LlamaIndex agent instance can access the records, and the data is never stored in persistent shared memory.

Yes, you can refresh your index by re-running the tools to pull the latest contract or customer records. The agent always retrieves the current state from the platform.

It handles customer billing profiles, contract subscription terms, and invoice metadata. All these records are retrieved as JSON payloads and processed within your local agent sandbox.

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