How to Use the Bilflo MCP in Pydantic AI

Validate every Bilflo staffing record at runtime with Pydantic AI type safety.

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Connect Bilflo MCP to Pydantic AI

Create your Vinkius account to connect Bilflo 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 Bilflo with Pydantic AI

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Type-Safe Contractor Tracking via MCP Server

The `get_contractor` tool returns structured contractor profiles that the framework validates against strict Python schemas. If the API payload schema changes, Pydantic AI raises a validation error immediately. This prevents corrupt contractor records from entering your database. Your agent processes `list_contractors` knowing every field matches your exact system requirements.

Strict Timecard Validation and Compliance

Your agent uses `get_timecard` to inspect individual shift records before processing payroll. The framework ensures that hours, dates, and rates conform to your internal Pydantic models before executing any calculations. By calling `list_timecards`, the agent parses bulk timesheet data safely. If a single record violates your schema, the system halts the run instead of propagating silent errors.

Secure Client and Placement Audits

The `list_clients` tool pulls account records into your local execution environment. Pydantic AI validates the client contact info and billing terms returned by `get_client` at runtime. You can safely run complex matching loops by combining this data with `list_placements`. This ensures that every placement record matches your internal data models before you generate invoices.

Setup guide

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

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

result = await agent.run("List recent Bilflo 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 Bilflo. 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 Bilflo MCP in Pydantic AI

Install the library with the mcp extra, then instantiate the MCPToolset using your Vinkius HTTP endpoint. Pass this toolset directly into your Agent constructor.

Pydantic AI immediately raises a validation error at runtime. This prevents your agent from hallucinating fields or processing malformed timecard data.

Yes. The toolset supports both Streamable HTTP and SSE MCP protocols, allowing you to connect to your hosted server using your preferred network architecture.

Yes. The framework is model-agnostic, meaning you can run your validation loops using local models or commercial APIs while querying client records.

Your client details and timecard records are processed entirely in memory during runtime validation. Vinkius secures the transport layer with token authentication, ensuring no external party can intercept your staffing data.

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