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 Pydantic AI 10 tools — connect in under 2 minutes

Name: Wave Financial
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Wave Financial through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Wave Financial "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Wave Financial?"
    )
    print(result.data)

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.

Pydantic AI validates every Wave Financial tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Wave Financial MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

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

Explore tools

The agent discovers 10 tools from Wave Financial with type-safe schemas

Why Use Pydantic AI with the Wave Financial MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Wave Financial integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Wave Financial connection logic from agent behavior for testable, maintainable code

Wave Financial + Pydantic AI Use Cases

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

Type-safe data pipelines: query Wave Financial with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Wave Financial tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Wave Financial and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Wave Financial responses and write comprehensive agent tests

Wave Financial MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Wave Financial to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Wave Financial + Pydantic AI FAQ

Common questions about integrating Wave Financial MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Wave Financial MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.