How to Use the Cloud Assess MCP in CrewAI
Assign specialized training agents in CrewAI. Use Cloud Assess to power your autonomous crew.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Cloud Assess MCP to CrewAI
Create your Vinkius account to connect Cloud Assess 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 checking training locations
Deploy a research agent to scan your training footprint. `list_training_locations` identifies where specific units occur, letting your crew plan logistics. Your agents share this memory across the team. One agent fetches the site data, and the next agent acts on it.
Monitor assessment status with CrewAI
Let a moderator agent watch for incomplete units. `list_unit_enrolment_progress` provides the raw data the agent needs to flag lagging students. This setup runs without you checking the dashboard. The crew identifies the issue and reports back when it's done.
Deep dive into records with this MCP Server
Task an analyst agent with reviewing specific student history. `get_student_details` supplies the context for a full audit of an individual's file. This MCP Server provides the tools your crew needs to act autonomously. It removes the need for manual record digging.
Set up Cloud Assess 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 Cloud Assess tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Cloud Assess Analyst",
goal="Access and analyze Cloud Assess data via MCP.",
backstory="Expert analyst with direct Cloud Assess access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Cloud Assess 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="Cloud Assess Analyst",
goal="Access and analyze Cloud Assess data via MCP.",
backstory="Expert analyst with direct Cloud Assess access.",
tools=mcp_tools,
)
task = Task(
description="List recent Cloud Assess 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 Cloud Assess. 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 Cloud Assess MCP in CrewAI
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Cloud Assess MCP today
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