How to Use the Zoho Billing MCP in LlamaIndex
Build RAG apps on your entire Zoho Billing history using LlamaIndex.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Zoho Billing MCP to LlamaIndex
Create your Vinkius account to connect Zoho Billing 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.
Searching financial records with MCP Server.
LlamaIndex indexes the output of tools like `list_payments` and `list_customers`. Instead of just getting a list, you can query this index to answer questions like, 'What were all payments made to customers in Q3?' This lets developers build RAG applications where past Zoho Billing data is combined with documents. You get answers grounded in actual API calls, not guesses.
Analyzing billing plans using LlamaIndex.
Need to understand pricing tiers? Run `list_plans` and index the results. Later, you can query your knowledge base asking, 'What's the difference between a Bronze and Silver plan?' The answer will be pulled directly from the indexed data. This capability means you don't just retrieve raw list output; you search through it semantically.
Reviewing subscription changes with MCP Server.
Tracking service level adjustments is key. By querying `list_subscriptions`, LlamaIndex indexes the historical status of services. This allows a user to ask, 'When did this account switch from Plan X to Plan Y?' and get a precise date range answer. It’s perfect for building internal documentation tools that need real-time data context.
Set up Zoho Billing 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 Zoho Billing 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 Zoho Billing tools.",
)
response = await agent.run("List recent Zoho Billing data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Zoho Billing. 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 Zoho Billing MCP in LlamaIndex
Use it with your favorite AI tools
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