How to Use the Factorial MCP in CrewAI
Deploy a CrewAI team of HR agents to analyze Factorial shift patterns, audit contracts, and manage leave requests autonomously.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Factorial MCP to CrewAI
Create your Vinkius account to connect Factorial 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.
Audit company compliance by assigning contract reviews
Audit company compliance by assigning `list_employee_contracts` to a specialized CrewAI agent. Instead of running a single script, you deploy a crew of specialized agents where one focuses entirely on compliance by pulling data with this tool, while a second agent analyzes team structures using `list_company_teams`. This collaborative setup lets the agents cross-reference their findings without manual prompting. The compliance agent flags outdated agreements, and the org agent maps them to the correct managers, delivering a finished report to your team.
Track daily shift schedules autonomously
Track daily shift schedules autonomously by assigning `list_attendance_shifts` to your scheduling agent. A scheduling agent calls this tool to see who logged hours, while a monitoring agent checks `list_time_off_leaves` to verify approved absences. If someone is missing without an approved leave request, the agents coordinate to find the team lead's contact info using `get_employee_details`. They draft an escalation message automatically, handling the entire tracking process without human intervention.
Autonomous document sorting with this MCP Server
Sort corporate documents automatically by letting an archivist agent run `list_document_folders`. An archivist agent scans your directory and indexes the files inside using `list_hr_documents` on this MCP Server. A supervisor agent monitors this process to ensure no sensitive files are misplaced. By separating the reading and indexing tasks between specialized agents, you reduce errors and make sure your employee files are cataloged correctly.
Set up Factorial 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 Factorial tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Factorial Analyst",
goal="Access and analyze Factorial data via MCP.",
backstory="Expert analyst with direct Factorial access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Factorial 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="Factorial Analyst",
goal="Access and analyze Factorial data via MCP.",
backstory="Expert analyst with direct Factorial access.",
tools=mcp_tools,
)
task = Task(
description="List recent Factorial 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 Factorial. 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 Factorial MCP in CrewAI
Use it with your favorite AI tools
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