How to Use the WorkWave MCP in Pydantic AI

Q: What tools can I use to check service status in WorkWave and Pydantic AI?

You'll use getorderdetails for specifics, and then updateorderstatus to make changes. This workflow is fully validated by the type system.

Q: Can I list all available field services using WorkWave and Pydantic AI?

Yep. Call listserviceorders to get a comprehensive roster of service requests, or use listserviceaccounts for the customer side of things.

Get Correct WorkWave Data Types Using the Pydantic AI Framework.

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Connect WorkWave MCP to Pydantic AI

Create your Vinkius account to connect WorkWave 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 WorkWave with Pydantic AI

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Controlling Service Order Status

The `update_order_status` tool lets your agent change a service order's lifecycle status. It can mark an order as Pending, InProgress, or Completed. Knowing the current state is key. You should combine this with `list_service_orders` to get a full view of all active requests before making changes.

Retrieving Customer and Employee Data

Need client info? Use `get_account_details` for specifics on any customer. If you need staff context, the agent pulls employee details using `get_employee_profile`. Because it's type-safe, you know exactly what data fields you're getting back—no garbage values.

Listing All Service Resources (MCP Server)

The MCP Server allows your agent to list every service resource. It can pull all field staff via `list_field_employees` and all managed equipment using `list_service_equipment`. This gives you a solid, structured overview of personnel and assets across the entire platform.

Setup guide

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

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by WorkWave. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about WorkWave MCP in Pydantic AI

Pydantic validation means that if the WorkWave API sends back unexpected data, your agent fails with an explicit error. You never get silent corruption or bad fields.

You'll use `get_order_details` for specifics, and then `update_order_status` to make changes. This workflow is fully validated by the type system.

The server exposes records related to service orders, customer accounts (`list_field_service_accounts`), and physical locations. These structured objects are guaranteed by the framework.

Yep. Call `list_service_orders` to get a comprehensive roster of service requests, or use `list_service_accounts` for the customer side of things.

This server touches employee profiles. Since this is HR-related information, you must ensure your agent's execution context respects all necessary access restrictions.

Use it with your favorite AI tools

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