Can I check if an invoice has been paid through the agent?

Yes. The `list_accounting_invoices` tool allows your AI agent to see the current status of all invoices, including whether they are 'PAID', 'SAVED' (unpaid), or still in 'DRAFT' status.

How do I add a new client to my Wave account using chat?

You can use the `create_accounting_customer` tool. Just provide the customer's name and email address, and your agent will register them in your Wave business instantly.

Can I delete a draft invoice if I made a mistake?

Yes. The `delete_draft_invoice` tool allows you to permanently remove unfinalized draft invoices. Note that once an invoice is approved (SAVED) or paid, it cannot be deleted through this specific tool.

Wave Accounting MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Wave Accounting
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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({
        "wave-accounting": {
            "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 Wave Accounting, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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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 Wave Accounting MCP Server

Connect your Wave Accounting account to any AI agent and manage your business finances through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Wave Accounting through native MCP adapters. Connect 10 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

Customer Management — List all registered customers, create new profiles, and update contact information directly from your agent
Invoice Lifecycle — Create draft invoices, approve them for sending, and monitor their payment status (DRAFT, SAVED, PAID)
Deep Invoicing — Retrieve full details for any invoice, including line items, taxes, totals, and public payment URLs
Financial Auditing — Browse your customer base and billing activity to stay on top of your accounts receivable
Data Integrity — Safely delete unfinalized draft invoices or obsolete customer records through simple chat commands
Business Insights — Quickly find unique customer and invoice IDs required for complex accounting workflows

The Wave Accounting MCP Server exposes 10 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 Wave Accounting to LangChain via MCP

Follow these steps to integrate the Wave Accounting MCP Server with LangChain.

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Wave Accounting via MCP

Why Use LangChain with the Wave Accounting MCP Server

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

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

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

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

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

Wave Accounting + LangChain Use Cases

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

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

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

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

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

Wave Accounting MCP Tools for LangChain (10)

These 10 tools become available when you connect Wave Accounting to LangChain via MCP:

approve_draft_invoice

Finalizes a draft invoice, moving it to an unpaid/saved status

create_accounting_customer

Provide name and email. Creates a new customer record in Wave

create_draft_invoice

Provide a customer ID and a JSON array of items. Creates a new draft invoice in Wave

delete_accounting_customer

This action is irreversible. Permanently deletes a customer record

delete_draft_invoice

Saved or paid invoices cannot be deleted via this endpoint. Permanently deletes an unfinalized draft invoice

get_customer_details

Retrieves details for a specific customer in Wave

get_invoice_details

Retrieves full details for a specific Wave invoice

list_accounting_customers

Lists customers registered in the Wave Accounting business

list_accounting_invoices

). Lists invoices issued by the Wave business

update_customer_profile

Provide the unique customer ID. Updates the profile of an existing customer

Example Prompts for Wave Accounting in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Wave Accounting immediately.

"List all my customers in Wave Accounting."

"Create a new customer for 'John Doe' with email 'john@example.com'."

"What is the status of my latest invoices?"

Troubleshooting Wave Accounting MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Wave Accounting + LangChain FAQ

Common questions about integrating Wave Accounting MCP Server with LangChain.

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.

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.