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How to Use the isvat MCP in LlamaIndex

Audit and index European VAT numbers inside your LlamaIndex RAG pipelines with this MCP Server.

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LlamaIndex

Connect isvat MCP to LlamaIndex

Create your Vinkius account to connect isvat 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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Inject Live Tax Registry Data Into Vectors

`validate_eu_vat` pulls live tax status and company registry details directly into your LlamaIndex knowledge indexes. Your agent queries the official EU databases, confirms validation status, and immediately saves the structured metadata into your vector store. This prevents your RAG system from relying on stale, hallucinated tax records. When a user asks about a vendor's tax status, the agent searches the index of recently verified VAT numbers, pulling up-to-date compliance records without hitting the external API every single time.

Index Bulk Validations from Unstructured Files

`validate_multiple_vat` lets your LlamaIndex agent run batch tax audits on raw documents or unstructured tables. Your agent parses PDF invoices, extracts all European tax IDs, and verifies them concurrently in a single operation. The verified results are indexed as document nodes with precise metadata. You can then run semantic searches over your vendor list to quickly identify which entities have active, inactive, or completely invalid VAT registrations.

Index API Health States in your LlamaIndex App

`check_api_status` checks the availability of the VIES registry before your LlamaIndex agent invokes the MCP Server. Because European tax databases frequently go offline, this check stops your ingestion pipelines from failing due to external downtime. Your agent can write the current API status to your index logs. This creates an audit trail that explains why certain tax numbers couldn't be verified at a specific moment, keeping your database clean and your RAG outputs accurate.

Setup guide

Set up isvat MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 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. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all isvat MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 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 isvat tools.",
)
response = await agent.run("List recent isvat data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by isvat. 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 isvat MCP in LlamaIndex

You use `validate_eu_vat` to retrieve the registration details, then convert the output into a Document node. Your agent indexes this node into your vector store, making live tax data searchable via natural language.
Yes, your agent can extract tax IDs from files and pass them to `validate_multiple_vat`. The resulting array of verified company records is then indexed for compliance audits.
Your agent runs `check_api_status` before starting an indexing pipeline. If the check returns a down status, the agent can pause ingestion or log a warning instead of indexing incomplete tax data.
Initialize the client using BasicMCPClient, wrap it in McpToolSpec, and call to_tool_list_async(). You then pass those tools directly to your FunctionAgent constructor.
No, the VAT numbers and company names are processed entirely in memory inside an ephemeral sandbox. No tax identifiers or registry payloads are saved to disk, ensuring compliance with local financial privacy regulations.

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