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How to Use the Billsby MCP in LlamaIndex

Index your live Billsby subscription data into LlamaIndex using our hosted MCP server.

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Works with every AI agent you already use

…and any MCP-compatible client

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LlamaIndex

Connect Billsby MCP to LlamaIndex

Create your Vinkius account to connect Billsby 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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Build RAG indexes from the Billsby MCP Server

The `list_subscriptions` tool lets your LlamaIndex agent query live billing data and index the results directly into a vector store. Instead of hardcoding lookup paths, your agent searches the indexed tool outputs. When a user asks a complex billing question, the agent locates the relevant records using semantic search rather than raw ID matching.

Ground agent responses in real-time invoice data

The `list_invoices` and `get_customer` tools feed fresh, accurate data directly into the LLM's context window to avoid hallucinations. This guarantees your agent always works with current numbers. If a customer asks why their last bill was higher, the agent pulls the exact invoice breakdown and explains the line items without making things up.

Query subscription plans and add-ons semantically

The `list_plans` and `list_addons` tools allow your LlamaIndex application to search for features that match a user's natural language request. The agent compares the customer's current plan retrieved via `get_subscription` against available options. It then suggests the best-fit upgrade paths based on actual pricing data.

Setup guide

Set up Billsby MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

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

  2. 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. 3

    Convert to LlamaIndex tools

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

  4. 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 Billsby tools.",
)
response = await agent.run("List recent Billsby data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Billsby. 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.

Why Choose Vinkius

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Real-time monitoring

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Billsby MCP in LlamaIndex

Install llama-index-tools-mcp and initialize the MCP client with your Vinkius URL. Wrap it in McpToolSpec and convert it to tools for your FunctionAgent.
Yes, you can load outputs from tools like list_products or list_plans directly into a vector index. This lets your agent perform semantic searches over your catalog.
The McpToolSpec automatically translates the server's schemas into LlamaIndex tool specs. Your agent immediately understands how to call create_customer or get_subscription.
No, Vinkius hosts the MCP server in a secure sandbox. You only need to point your client to the provided HTTP endpoint.
Absolutely. The Vinkius platform uses ephemeral V8 isolates to run the connector, meaning your raw billing data and API keys are never cached or written to disk.

Start using the Billsby MCP today

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Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Billsby. Just plug in your AI agents and start using Vinkius.

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