Can I check the status of a specific timecard using the agent?

Yes! Use the `get_timecard` tool with the Timecard ID. Your agent will fetch the latest status, including hours worked and approval state.

How do I list all the active contractors in Bilflo?

Simply ask the agent to `list_contractors`. It will retrieve the directory of all contingent workers registered in your Bilflo account.

Does the integration allow me to approve timecards directly?

Currently, the toolset is focused on querying and auditing (listing timecards, checking statuses). Approving timecards for payroll must be performed within the Bilflo platform for compliance.

Bilflo MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Bilflo
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

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

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

Connect your Bilflo account to any AI agent and orchestrate your staffing, recruiting, and time-tracking workflows through natural conversation.

Pydantic AI validates every Bilflo tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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

Client Management — List and inspect client profiles to maintain strong business relationships.
Contractor Oversight — Retrieve detailed records for contractors and contingent workers.
Placement Tracking — List both temporary placements and direct hires within your agency.
Time & Attendance — Access timecards and verify hours worked directly from the agent.
Compliance & Rules — Retrieve overtime rules and system configurations for auditing.

The Bilflo MCP Server exposes 10 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 Bilflo to Pydantic AI via MCP

Follow these steps to integrate the Bilflo 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 10 tools from Bilflo with type-safe schemas

Why Use Pydantic AI with the Bilflo MCP Server

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

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

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

Bilflo + Pydantic AI Use Cases

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

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

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

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

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

Bilflo MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Bilflo to Pydantic AI via MCP:

get_client

Get specific client details

get_contractor

Get specific contractor details

get_direct_hire

Get specific direct hire details

get_timecard

Get specific timecard details

list_clients

List all clients

list_contractors

List all contractors

list_direct_hires

List all direct hires

list_overtime_rules

List overtime rules

list_placements

List all placements

list_timecards

List all timecards

Example Prompts for Bilflo in Pydantic AI

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

"List all active clients in Bilflo."

"Find the details for contractor con_992."

"Show my recent timecards."

Troubleshooting Bilflo MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Bilflo + Pydantic AI FAQ

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