How to Use the Cloopen / 容联云 MCP in CrewAI
Run multi-agent communication crews that manage Cloopen / 容联云 SMS campaigns and voice alerts autonomously.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Cloopen / 容联云 MCP to CrewAI
Create your Vinkius account to connect Cloopen / 容联云 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.
Autonomous Campaign Auditing and SMS Dispatch
The `send_sms` and `list_templates` tools allow your CrewAI agents to run complete SMS marketing campaigns without human intervention. One specialized agent drafts the message variables, while a compliance agent checks the active templates to ensure formatting matches carrier rules. Once verified, the dispatch agent fires the message. This division of labor prevents formatting issues and keeps your outbound SMS campaigns aligned with Chinese telecom standards.
Automated IVR Routing and App Configuration
The `get_ivr` and `get_app` tools give your CrewAI operations team full visibility into your active voice menus and application settings. Your monitoring agent queries these endpoints to verify that support hotlines are pointing to the correct systems. If a mismatch is found, the agent flags the discrepancy for the supervisor. This setup allows your crew to run continuous infrastructure checks on your communication pipelines.
Intelligent Callback Dispatch via MCP Server
The `list_callback` and `list_landing_calls` tools enable automated voice escalations when high-priority system alerts are triggered. In a CrewAI setup, an on-call agent monitors system health, while a dispatch agent triggers voice calls to engineers when critical metrics spike. The crew manages the escalation ladder. If the first engineer does not answer, the agent initiates a landing call with a pre-recorded voice code to the secondary contact.
Set up Cloopen / 容联云 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 Cloopen / 容联云 tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Cloopen / 容联云 Analyst",
goal="Access and analyze Cloopen / 容联云 data via MCP.",
backstory="Expert analyst with direct Cloopen / 容联云 access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Cloopen / 容联云 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="Cloopen / 容联云 Analyst",
goal="Access and analyze Cloopen / 容联云 data via MCP.",
backstory="Expert analyst with direct Cloopen / 容联云 access.",
tools=mcp_tools,
)
task = Task(
description="List recent Cloopen / 容联云 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 Cloopen / 容联云. 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.
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Common questions about Cloopen / 容联云 MCP in CrewAI
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