How do I find my Cloopen Account Sid and Token?

Log in to the Cloopen Console dashboard. You will find your Account Sid and Auth Token in the account information section on the homepage.

Can I query the status of a specific SMS message?

Yes. Use the `query_sms` tool with the `smsMessageSid` returned from the send operation to retrieve the current delivery status.

Is it possible to send voice verification codes?

Yes! Use the `list_voice_codes` tool to initiate an automated call that will speak the verification code to the recipient's phone.

Cloopen / 容联云 MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Cloopen / 容联云
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Cloopen / 容联云 through Vinkius, pass the Edge URL in the `mcps` parameter and every Cloopen / 容联云 tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Cloopen / 容联云 Specialist",
    goal="Help users interact with Cloopen / 容联云 effectively",
    backstory=(
        "You are an expert at leveraging Cloopen / 容联云 tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Cloopen / 容联云 "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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About Cloopen / 容联云 MCP Server

Empower your AI agent to orchestrate your cloud communication with Cloopen (容联云), the premier CPaaS provider in China. By connecting Cloopen to your agent, you transform complex SMS campaigns, voice verification, and communication application management into a natural conversation. Your agent can instantly send template-based SMS, initiate voice verification calls, monitor delivery status, and retrieve account information without you ever needing to navigate the comprehensive Cloopen portal. Whether you are automating user verification or coordinating large-scale notifications, your agent acts as a real-time communication assistant, keeping your messages accurate and your delivery reliable.

When paired with CrewAI, Cloopen / 容联云 becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Cloopen / 容联云 tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

SMS Orchestration — Send template-based SMS and retrieve real-time delivery status for verification and notifications.
Voice Verification — Initiate automated voice calls to deliver verification codes or critical notifications.
Application Management — List and retrieve detailed information about your communication applications and IVR configs.
Account Auditing — Retrieve high-level account information and monitor your resource usage.
Template Control — Browse approved SMS templates to ensure consistent messaging across your organization.

The Cloopen / 容联云 MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Cloopen / 容联云 to CrewAI via MCP

Follow these steps to integrate the Cloopen / 容联云 MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Cloopen / 容联云

Why Use CrewAI with the Cloopen / 容联云 MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Cloopen / 容联云 through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Cloopen / 容联云 + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Cloopen / 容联云 MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Cloopen / 容联云 for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Cloopen / 容联云, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Cloopen / 容联云 tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Cloopen / 容联云 against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Cloopen / 容联云 MCP Tools for CrewAI (10)

These 10 tools become available when you connect Cloopen / 容联云 to CrewAI via MCP:

get_account_info

Get account information

get_app

Get application details

get_ivr

Get IVR configuration

list_apps

List applications

list_callback

Initiate double-call callback

list_landing_calls

Initiate landing call

list_templates

List SMS templates

list_voice_codes

Send voice verification code

query_sms

Query SMS status

send_sms

Send template SMS

Example Prompts for Cloopen / 容联云 in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Cloopen / 容联云 immediately.

"Send a verification code '1234' to '13800000000' using template '1'."

"Check my current account balance and info on Cloopen."

"List all my approved SMS templates."

Troubleshooting Cloopen / 容联云 MCP Server with CrewAI

Common issues when connecting Cloopen / 容联云 to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Cloopen / 容联云 + CrewAI FAQ

Common questions about integrating Cloopen / 容联云 MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.