How to Use the Worksuite MCP in Pydantic AI

Q: How do I list jobs using Worksuite and Pydantic AI?

Call the listjobs tool. The response will be automatically validated against a defined schema, meaning you get clean, predictable data every time.

Q: Does Worksuite support payment tracking in Pydantic AI?

Yes. Your agent uses listpayments to retrieve transaction lists and can also check billing history with listinvoices. The type-safe validation makes financial auditing safer.

Q: What is the best way to list contractors in Worksuite and Pydantic AI?

Use listtalents first. This pulls down all contractor records, which are then validated by the framework. You'll get accurate data about every worker managed through Worksuite.

Q: How can I retrieve project details with Worksuite and Pydantic AI?

The agent uses listprojects to see all projects, then calls getproject. The type-safety of the framework means you won't encounter unexpected fields when processing critical scope data.

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Connect Worksuite MCP to Pydantic AI

Create your Vinkius account to connect Worksuite 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 Worksuite with Pydantic AI

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Verify job openings and requirements

You start by calling `list_jobs` to get a structured list of all current open jobs. Because it's type-safe, you know exactly what fields are coming back for every opening. The agent can then validate specific details using `get_job`. If the API sends unexpected data about a job, your agent fails hard with an error—no silent corruption.

Track project progress and tasks

Use `list_projects` to get a clean list of every active project. The structured output guarantees that you'll always receive the expected fields, making data ingestion reliable. The agent can pull down granular task lists with `list_tasks`, ensuring that every reported task meets your defined schema requirements.

Manage financial and talent records

`list_invoices` gives you a validated list of outstanding invoices. The Pydantic structure ensures the data types are correct before processing. The framework also supports contractor management, letting your agent view all profiles via `list_talents`, guaranteeing that every name or ID field is correctly typed.

Setup guide

Set up Worksuite 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": {
        "worksuite-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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Common questions about Worksuite MCP in Pydantic AI

Call the `list_jobs` tool. The response will be automatically validated against a defined schema, meaning you get clean, predictable data every time.

Yes. Your agent uses `list_payments` to retrieve transaction lists and can also check billing history with `list_invoices`. The type-safe validation makes financial auditing safer.

Use `list_talents` first. This pulls down all contractor records, which are then validated by the framework. You'll get accurate data about every worker managed through Worksuite.

The agent uses `list_projects` to see all projects, then calls `get_project`. The type-safety of the framework means you won't encounter unexpected fields when processing critical scope data.

This server touches both invoice and payment data. You can use `list_invoices` and `list_payments`, ensuring that the financial details are always correct and structured.

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