How to Use the Billsby MCP in LlamaIndex
Index your live Billsby subscription data into LlamaIndex using our hosted MCP server.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Billsby MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - 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 providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto 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 Billsby MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
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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Common questions about Billsby MCP in LlamaIndex
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