How do I create a Wave Personal Access Token?

Log in to the [Wave Developer Portal](https://developer.waveapps.com/), go to 'Manage Applications', create a new application, and then generate a 'Personal Access Token' for your account.

Can this agent create new invoices or customers?

This current version is optimized for data retrieval and oversight. While Wave supports mutations, this MCP server primarily focuses on querying your existing financial data for analysis.

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

Name: Wave Financial
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 Financial through the 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-financial": {
            "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 Financial, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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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 Wave Financial MCP Server

Connect your AI agent to Wave Financial, the all-in-one accounting software for small businesses. This integration utilizes Wave's powerful GraphQL API to provide real-time access to your financial data through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Wave Financial through native MCP adapters. Connect 10 tools via the 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

Business Oversight — List and inspect all businesses associated with your Wave account
Invoice Management — Retrieve summaries of sent invoices, including statuses, totals, and due dates
Customer & Vendor Directory — Quickly lookup contact details for your customers and suppliers
Accounting Intelligence — Monitor your chart of accounts and current balances across different categories
Expense Tracking — List recent bills and accounting transactions to stay on top of your cash flow
Tax Configuration — Retrieve active sales tax rates and configurations for your business

The Wave Financial 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 Financial to LangChain via MCP

Follow these steps to integrate the Wave Financial 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 Financial via MCP

Why Use LangChain with the Wave Financial MCP Server

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

The largest ecosystem of integrations, chains, and agents — combine Wave Financial 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 Financial queries for multi-turn workflows

Wave Financial + LangChain Use Cases

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

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

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

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

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

Wave Financial MCP Tools for LangChain (10)

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

get_user_info

Retrieve the authenticated user information

list_accounts

List the chart of accounts for a specific business

list_bills

List bills (accounts payable) for a specific business

list_businesses

List all businesses associated with the user account

list_customers

List customers for a specific business

list_invoices

List invoices for a specific business

list_products

List products and services for a specific business

list_sales_taxes

List sales taxes configured for a specific business

list_transactions

List accounting transactions for a business

list_vendors

List vendors associated with a specific business

Example Prompts for Wave Financial in LangChain

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

"List my businesses in Wave."

"Show me the latest invoices for business ID 123."

Troubleshooting Wave Financial MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Wave Financial + LangChain FAQ

Common questions about integrating Wave Financial 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.