How to Use the Younium MCP in LlamaIndex
Index Younium data for RAG applications with LlamaIndex.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Younium MCP to LlamaIndex
Create your Vinkius account to connect Younium 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.
Grounding Answers in Billing Data
The `get_account` tool retrieves comprehensive details for a specific Younium customer account. By indexing this output, your knowledge-augmented AI can answer questions about billing history based on actual API data. When you query past sessions or configurations using the index derived from `get_account`, the results are grounded in real account records, eliminating guesswork.
Searching Subscription Details
Want to know about a specific billing agreement? The `get_subscription` tool fetches all details for that subscription, including its historical versions. Indexing this data allows your agent to answer complex questions like, 'What was the rate structure in Q2?' This is crucial for building RAG applications where live API data must be combined with documents for accurate context.
Listing and Analyzing Invoices
Using `list_invoices` provides a list of all billing documents generated by Younium. Indexing these results means your AI client can search across hundreds of invoices to find specific payment dates or amounts. It's perfect for compliance queries: you ask the knowledge base, and it points directly to the relevant invoice record.
Set up Younium 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 Younium 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 Younium tools.",
)
response = await agent.run("List recent Younium data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Younium. 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
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
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 Younium MCP in LlamaIndex
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