How to Use the Bilflo MCP in CrewAI
Deploy a crew of specialized CrewAI agents to manage Bilflo placements, timecards, and contractor compliance autonomously.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Bilflo MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Bilflo tools as needed.
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) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="Bilflo Analyst",
goal="Access and analyze Bilflo data via MCP.",
backstory="Expert analyst with direct Bilflo access.",
tools=mcp_tools,
)
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) 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.
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
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