How to Use the JobNimbus MCP in CrewAI
Deploy specialized agent crews to manage your JobNimbus operations and automate project tracking with CrewAI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect JobNimbus MCP to CrewAI
Create your Vinkius account to connect JobNimbus 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.
CrewAI agents for JobNimbus CRM
Assign research and action roles to different agents in your crew. One agent can monitor `list_jobs` for new projects while another updates contacts using `get_contact`. This specialization allows your team to handle more volume. You define the roles, and the crew handles the repetitive work of CRM maintenance.
Shared memory for JobNimbus tasks
Allow your agents to share findings from `list_tasks` and `list_payments`. A research agent finds the info, and an action agent acts on it without re-querying the API. This keeps your operations fast and efficient. Your agents act as a coordinated unit, not just isolated scripts.
Autonomous CRM monitoring
Set up a crew to watch your business processes using `list_workflows`. If a project stalls, the agents can escalate the issue to a manager automatically. This provides continuous oversight of your business. You get the benefits of an active monitoring team without the manual labor.
Set up JobNimbus 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 JobNimbus tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="JobNimbus Analyst",
goal="Access and analyze JobNimbus data via MCP.",
backstory="Expert analyst with direct JobNimbus access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent JobNimbus 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="JobNimbus Analyst",
goal="Access and analyze JobNimbus data via MCP.",
backstory="Expert analyst with direct JobNimbus access.",
tools=mcp_tools,
)
task = Task(
description="List recent JobNimbus 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 JobNimbus. 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 JobNimbus MCP in CrewAI
Use it with your favorite AI tools
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Start using the JobNimbus MCP today
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