How to Use the Dubsado MCP in Pydantic AI

Build type-safe Dubsado automations with Pydantic AI for reliable, validated project management.

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Connect Dubsado MCP to Pydantic AI

Create your Vinkius account to connect Dubsado to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Dubsado with Pydantic AI

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Validate Dubsado data with Pydantic AI

Every response from `list_projects` or `get_project` is checked against your models at runtime. You catch malformed data before it touches your business logic. This prevents silent failures when using `update_project`. Your agent treats every API result as a validated object, ensuring total system correctness.

Secure Dubsado payments with Pydantic AI

Generate invoices using `create_invoice` while ensuring the payload matches your strict schema requirements. You avoid issues with missing fields or incorrect data types. Your agent checks `list_invoices` to confirm the state of each payment request. It only proceeds if the data validates perfectly, giving you complete peace of mind.

Type-safe Dubsado workflows in Pydantic AI

Use `list_workflow_templates` and `apply_workflow` with full type safety. Your agent knows exactly what the template structure looks like before attempting to trigger a process. If the API returns unexpected data, the agent halts immediately. This keeps your Dubsado account free from corrupted configurations or bad state.

Setup guide

Set up Dubsado MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "dubsado-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Dubsado tools.",
)

result = await agent.run("List recent Dubsado transactions")
print(result.output)

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Common questions about Dubsado MCP in Pydantic AI

It enforces strict type checking on every MCP tool response. You get immediate validation errors if the Dubsado API returns data that violates your model.

It does. You can use any of the 12 tools provided by the server within your agent's toolsets.

You define exception handlers in your agent logic. Because the data is validated, you can distinguish between API errors and schema mismatches.

You can. The framework is model-agnostic, so you can point your agent at local models or hosted APIs while keeping the validation logic consistent.

The server uses encrypted transport for all requests. Since your models define the expected structure, the agent only touches the specific contact fields you explicitly authorize.

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