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How to Use the Bilflo MCP in CrewAI

Deploy a crew of specialized CrewAI agents to manage Bilflo placements, timecards, and contractor compliance autonomously.

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Connect Bilflo MCP to CrewAI

Create your Vinkius account to connect Bilflo to CrewAI 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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Run multi-agent HR compliance teams using CrewAI

CrewAI allows you to divide staffing tasks among specialized agents. It's a team effort. For example, one agent can use `list_contractors` to identify active workers, while a second auditor agent runs `get_timecard` to verify their hours. These CrewAI agents share memory and pass contractor context to each other sequentially. They resolve discrepancies in placements without requiring you to write custom integration code for every edge case.

Filter specific CrewAI tools for security

You do not need to give every agent access to your entire HR system. That's just bad security. By using `MCPServerHTTP` from the `crewai.mcp` package, you can apply a tool filter to your Bilflo MCP Server. A recruiting agent might only need `list_direct_hires` and `get_direct_hire`, while your billing agent gets access to `list_overtime_rules`. This limits exposure and keeps your CrewAI operations secure.

Autonomous timecard auditing with CrewAI

Let your agents handle the weekly billing grind. It's tedious work. A coordinator agent can run `list_timecards` to fetch all submissions, then delegate individual verification tasks to subordinate agents. The agents use `get_client` to verify client billing details before marking a timecard as ready. This autonomous CrewAI loop runs in the background, flagging Bilflo errors only when human intervention is necessary.

Setup guide

Set up Bilflo MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

    Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.

  2. 2

    Add the MCP URL to your agent

    Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.

  3. 3

    Kick off your crew

    Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Bilflo tools as needed.

crew.py
from crewai import Agent, Task, Crew

agent = Agent(
    role="Bilflo Analyst",
    goal="Access and analyze Bilflo data via MCP.",
    backstory="Expert analyst with direct Bilflo access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Bilflo transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Bilflo MCP in CrewAI

You pass the Vinkius HTTP endpoint directly into the agent's `mcps` list parameter. For advanced configurations, import the MCP client class to filter which tools are exposed to specific agents.
Yes, you can use the `tool_filter` option within `MCPServerHTTP`. This prevents a research agent from accessing sensitive tools like `list_overtime_rules` while allowing access to contractor lists.
CrewAI uses hierarchical or sequential execution models where agents collaborate. One agent can fetch placements using `list_placements`, then pass that data to another agent to check compliance.
You need to install both `crewai` and the tools extension using `pip install crewai "crewai[tools]"`. This installs the necessary HTTP client libraries to communicate with the Vinkius endpoint.
Your staffing, billing, and placement data is processed entirely within a zero-trust, ephemeral V8 isolate running your MCP Server. Vinkius ensures that no client records are stored permanently, keeping your HR operations compliant with standard privacy policies.

Start using the Bilflo MCP today

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