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Billit MCP Server for LlamaIndex 9 tools — connect in under 2 minutes

Built by Vinkius GDPR 9 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Billit as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Billit. "
            "You have 9 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Billit?"
    )
    print(response)

asyncio.run(main())
Billit
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Billit MCP Server

Connect your Billit account to any AI agent and orchestrate your e-invoicing and accounting workflows through natural conversation.

LlamaIndex agents combine Billit tool responses with indexed documents for comprehensive, grounded answers. Connect 9 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

  • Invoicing Oversight — List and retrieve detailed e-invoices across the Peppol network.
  • Party Management — Manage your CRM of customers and suppliers (Parties) within Billit.
  • Expense Tracking — Query incoming expenses and receipts.
  • Product Catalog — Access your products and services list.
  • Company Information — Retrieve the authenticated company's core details.

The Billit MCP Server exposes 9 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Billit to LlamaIndex via MCP

Follow these steps to integrate the Billit MCP Server with LlamaIndex.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 9 tools from Billit

Why Use LlamaIndex with the Billit MCP Server

LlamaIndex provides unique advantages when paired with Billit through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Billit tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Billit tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Billit, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Billit tools were called, what data was returned, and how it influenced the final answer

Billit + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Billit MCP Server delivers measurable value.

01

Hybrid search: combine Billit real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Billit to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Billit for fresh data

04

Analytical workflows: chain Billit queries with LlamaIndex's data connectors to build multi-source analytical reports

Billit MCP Tools for LlamaIndex (9)

These 9 tools become available when you connect Billit to LlamaIndex via MCP:

01

create_invoice

Create a new invoice

02

create_party

Create a new party (customer)

03

get_company_info

Get your company information

04

get_invoice

Get specific invoice details

05

get_party

Get specific party details

06

list_expenses

List all expenses

07

list_invoices

List all invoices

08

list_parties

List all parties (customers/suppliers)

09

list_products

List all products

Example Prompts for Billit in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Billit immediately.

01

"List all active invoices."

02

"Find the contact details for 'Acme Corp'."

03

"Show my last 3 expenses."

Troubleshooting Billit MCP Server with LlamaIndex

Common issues when connecting Billit to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Billit + LlamaIndex FAQ

Common questions about integrating Billit MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Billit tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect Billit to LlamaIndex

Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.