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

Built by Vinkius GDPR 9 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Billit through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "billit": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Billit, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Billit
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Billit through native MCP adapters. Connect 9 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 9 tools from Billit via MCP

Why Use LangChain with the Billit MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine Billit MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Billit queries for multi-turn workflows

Billit + LangChain Use Cases

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

01

RAG with live data: combine Billit tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Billit, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Billit tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Billit tool call, measure latency, and optimize your agent's performance

Billit MCP Tools for LangChain (9)

These 9 tools become available when you connect Billit to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Billit + LangChain FAQ

Common questions about integrating Billit MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Billit to LangChain

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