How to Use the Wuro MCP in LlamaIndex

Q: What kind of financial data is indexed by Wuro for LlamaIndex?

The server allows indexing of Invoice amounts (via getinvoice), Quote line items, and contact information. All these structured records become part of the unified knowledge index.

Q: Is listing contacts reliable when using Wuro with LlamaIndex?

The tool listcontacts provides a foundational dataset that LlamaIndex can reliably ingest. This allows you to build complex queries like, 'Show me all high-value clients who haven't had an invoice in six months.'

Q: What data types does Wuro expose for LlamaIndex?

This MCP Server exposes contact details, product catalogs (listproducts), and financial records (invoices and quotes). All structured text from these tools becomes part of the searchable knowledge base.

Index your Wuro billing data for semantic search using LlamaIndex knowledge graphs.

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Connect Wuro MCP to LlamaIndex

Create your Vinkius account to connect Wuro 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 Wuro with LlamaIndex

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Perplexity

Search past invoices and estimates.

Don't lose track of what happened last quarter. When you use the MCP Server, LlamaIndex takes the output—like a specific `get_invoice` record—and indexes it into your knowledge base. You can then query your knowledge base and ask questions like "What was the dispute on invoice 456?" and get an answer grounded in that actual API data. This is huge because you stop dealing with generic summaries; you're getting answers based on the concrete details pulled from `list_invoices`.

Combine contact and product knowledge.

The system indexes more than just invoices. You can combine the results of `list_contacts` with product details from `list_products`. This means you can search your knowledge base for "Contact John Smith and what products he bought last year," getting a unified answer without complex joins. The RAG application treats all these API calls as one searchable pool, making data cross-referencing incredibly simple.

Analyze historical financial trends.

Need to understand spending patterns? LlamaIndex indexes everything. If you run `list_purchases` or `list_invoices`, the output becomes searchable knowledge. You can ask questions about trends or specific transactions weeks later and get a precise answer based on the actual data returned by the MCP Server. It's perfect for auditing, letting you query historical records like `get_quote` details months after they were created.

Setup guide

Set up Wuro 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 Wuro 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 Wuro tools.",
)
response = await agent.run("List recent Wuro data")

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Common questions about Wuro MCP in LlamaIndex

You call the MCP Server tools, and LlamaIndex indexes the output. For instance, running `list_contacts` populates the index so you can query things like 'Find all contacts in California.' The results become part of your searchable knowledge.

Yes. Because LlamaIndex indexes everything, you aren't limited to current data. You can query past `list_purchases` records or even old `get_quote` details and get answers grounded in those archived API results.

The server allows indexing of Invoice amounts (via `get_invoice`), Quote line items, and contact information. All these structured records become part of the unified knowledge index.

The tool `list_contacts` provides a foundational dataset that LlamaIndex can reliably ingest. This allows you to build complex queries like, 'Show me all high-value clients who haven't had an invoice in six months.'

This MCP Server exposes contact details, product catalogs (`list_products`), and financial records (invoices and quotes). All structured text from these tools becomes part of the searchable knowledge base.

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