How to Use the VATNode MCP in LlamaIndex

Q: Can I combine VATNode’s tools with documents using LlamaIndex?

Yes. The MCP tool output (like the tax info from getcountrytaxinfo) becomes a searchable chunk alongside your proprietary text files, creating one unified knowledge source.

Build knowledge-augmented tax applications with LlamaIndex and VATNode.

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Connect VATNode MCP to LlamaIndex

Create your Vinkius account to connect VATNode 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 VATNode with LlamaIndex

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Create a searchable index of tax rules.

When you run `get_country_tax_info`, the output becomes part of your indexed knowledge base. You can then ask LlamaIndex to query past sessions or documents and get answers grounded in actual API data, not just hallucinations. This is perfect for RAG applications where live compliance data and internal policies need to be combined into one searchable index.

Query company details using the LlamaIndex MCP Server.

The `get_company_by_vat` tool output gets indexed. This means you can query your historical API data—for instance, checking all tax rates associated with a specific VAT number over time. This capability allows developers to build unified indexes combining structured financial lookups and unstructured text documents.

Audit complex rate lists in LlamaIndex.

If you need comprehensive country data, `list_all_vat_rates` provides the initial list. Indexing this output means your queries can reference it later to find rates for countries not explicitly mentioned in the immediate query. It's a solid way to ensure all necessary context, like the specific rates from `get_country_vat_rates`, is available when the user asks.

Setup guide

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

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Common questions about VATNode MCP in LlamaIndex

LlamaIndex indexes the results, turning structured API calls into knowledge. You can query past tax rates or company metadata retrieved via `validate_vat_number` and get answers grounded in that specific data.

Yes. The MCP tool output (like the tax info from `get_country_tax_info`) becomes a searchable chunk alongside your proprietary text files, creating one unified knowledge source.

The server touches company metadata and tax rates. These structured results from tools like `get_country_vat_rates` are ideal because they offer precise, factual grounding for your RAG application.

It does. You can query the system to retrieve company details using `get_company_by_vat` and then use that result as context for a secondary, text-based question.

It is. The tools provide stable data like country codes and tax rates via `get_country_vat_rates`. This reliability means your indexed answers are consistently accurate.

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