Can I list my billable time entries for this week?

Yes! Use the `list_time_entries` tool. The agent will return recent time tracking records, allowing you to audit hours worked across your projects.

How do I check if an invoice has been paid?

Use the `list_invoices` tool. Your agent will fetch the list of invoices along with their current status (e.g., Paid, Outstanding, Overdue).

Where do I find my Cashboard API Key?

Log in to your Cashboard account and look for the 'API' or 'Developer' section in your account settings. If you can't find it, contact Cashboard support.

Cashboard MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: Cashboard
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Cashboard through 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 Cashboard "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Cashboard?"
    )
    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 Cashboard MCP Server

Connect your Cashboard account to any AI agent and take full control of your freelance or small business operations through natural conversation. Streamline time tracking and client invoicing.

Pydantic AI validates every Cashboard tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through 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

Invoicing Oversight — List and retrieve details for all client invoices and estimates natively
Time Tracking — Access recent time tracking entries to monitor project progress and billable hours
Expense Management — List business expenses and associate them with specific projects securely
Project Control — Monitor active projects and tasks to ensure delivery timelines are met flawlessly
Contact Management — List client and staff contacts to maintain seamless communication
Account Visibility — Retrieve core account and subscription information directly within your workspace

The Cashboard MCP Server exposes 8 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 Cashboard to Pydantic AI via MCP

Follow these steps to integrate the Cashboard 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 8 tools from Cashboard with type-safe schemas

Why Use Pydantic AI with the Cashboard MCP Server

Pydantic AI provides unique advantages when paired with Cashboard 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 Cashboard integration code

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

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

Cashboard + Pydantic AI Use Cases

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

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

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

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

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

Cashboard MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Cashboard to Pydantic AI via MCP:

get_cashboard_account

Retrieve core account and subscription information

list_active_projects

List active projects

list_business_expenses

List tracked business expenses

list_cashboard_contacts

List client and staff contacts

list_estimates

List all project estimates

list_invoices

List all invoices

list_project_tasks

List all project tasks

list_time_entries

List recent time tracking entries

Example Prompts for Cashboard in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Cashboard immediately.

"Show me my last 5 invoices in Cashboard."

"What are my active projects right now?"

"List my business expenses from the last 30 days."

Troubleshooting Cashboard MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Cashboard + Pydantic AI FAQ

Common questions about integrating Cashboard 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 Cashboard MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.