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 Pydantic AI 10 tools — connect in under 2 minutes

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

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Cloopen / 容联云 through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Cloopen / 容联云 "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Cloopen / 容联云?"
    )
    print(result.data)

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

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.

Pydantic AI validates every Cloopen / 容联云 tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Cloopen / 容联云 with type-safe schemas

Why Use Pydantic AI with the Cloopen / 容联云 MCP Server

Pydantic AI provides unique advantages when paired with Cloopen / 容联云 through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Cloopen / 容联云 integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Cloopen / 容联云 connection logic from agent behavior for testable, maintainable code

Cloopen / 容联云 + Pydantic AI Use Cases

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

Type-safe data pipelines: query Cloopen / 容联云 with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Cloopen / 容联云 tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Cloopen / 容联云 and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Cloopen / 容联云 responses and write comprehensive agent tests

Cloopen / 容联云 MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Cloopen / 容联云 to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Cloopen / 容联云 + Pydantic AI FAQ

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

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Cloopen / 容联云 MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.