How to Use the Jibble MCP in CrewAI
Deploy a specialized crew of agents to manage Jibble attendance and project reporting.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Jibble MCP to CrewAI
Create your Vinkius account to connect Jibble 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.
Multi-agent Jibble collaboration in CrewAI
Assign one agent to `list_time_entries` and another to analyze performance. They share the workload to process large batches of data efficiently. This setup allows for role-based operations. One agent gathers the facts while the other prepares the report for your team.
Project and activity oversight
Use `list_projects` and `list_activities` to monitor progress across your organization. The agents maintain a shared state to ensure consistent reporting. It automates the audit process. You get a clear view of where hours are spent without manual intervention.
Workforce distribution analysis
Query `list_locations` and `list_groups` to track where your team is working. The agents identify patterns and report back on site compliance. Your crew stays on top of the data. They provide updates as the Jibble API reports new entries throughout the day.
Set up Jibble 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 Jibble tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Jibble Analyst",
goal="Access and analyze Jibble data via MCP.",
backstory="Expert analyst with direct Jibble access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Jibble 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="Jibble Analyst",
goal="Access and analyze Jibble data via MCP.",
backstory="Expert analyst with direct Jibble access.",
tools=mcp_tools,
)
task = Task(
description="List recent Jibble 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 Jibble. 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 Jibble MCP in CrewAI
Use it with your favorite AI tools
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