How do I find my Chuanglan Account and Password?

Log in to the [Chuanglan Developer Portal](https://open.253.com/), navigate to the 'Application Management' or 'API Settings' section, and you will find your unique Account (username) and Password/Key for integration.

What is Variable SMS?

Variable SMS allows you to send template-based messages where specific placeholders (like names or codes) are replaced with different values for each recipient in a single API call.

Does this work for international numbers?

Yes! Use the `send_intl_sms` tool to reach users globally. Ensure you provide the phone number with the correct international country code.

Chuanglan 253 / 创蓝 MCP Server for Pydantic AI 9 tools — connect in under 2 minutes

Name: Chuanglan 253 / 创蓝
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 9 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Chuanglan 253 / 创蓝 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 Chuanglan 253 / 创蓝 "
            "(9 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Chuanglan 253 / 创蓝?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Chuanglan 253 / 创蓝 MCP Server

Empower your AI agent to orchestrate your cloud communication and identity verification infrastructure with Chuanglan 253 (创蓝云智), the premier SMS and KYC provider in China. By connecting Chuanglan to your agent, you transform complex messaging workflows, identity auditing, and phone verification into a natural conversation. Your agent can instantly send standard or variable SMS, retrieve real-time delivery reports, audit account balances, and perform 2-element or 3-element KYC checks without you ever needing to navigate the comprehensive Chuanglan console. Whether you are automating verification codes or conducting security audits on user registrations, your agent acts as a real-time communication assistant, providing accurate and reliable results from a single, unified source.

Pydantic AI validates every Chuanglan 253 / 创蓝 tool response against typed schemas, catching data inconsistencies at build time. Connect 9 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 standard, variable, and international SMS messages with full support for delivery reports.
KYC Auditing — Perform real-time identity verification (name/ID) and phone owner checks (name/ID/phone).
Growth Monitoring — Retrieve real-time account balance statistics and monitor service status across all modules.
Identity Verification — Coordinate one-click login checks (Flash Check) to streamline user onboarding.
Delivery Insights — Pull delivery reports and query specific message statuses to ensure communication reliability.

The Chuanglan 253 / 创蓝 MCP Server exposes 9 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 Chuanglan 253 / 创蓝 to Pydantic AI via MCP

Follow these steps to integrate the Chuanglan 253 / 创蓝 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 9 tools from Chuanglan 253 / 创蓝 with type-safe schemas

Why Use Pydantic AI with the Chuanglan 253 / 创蓝 MCP Server

Pydantic AI provides unique advantages when paired with Chuanglan 253 / 创蓝 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 Chuanglan 253 / 创蓝 integration code

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

Dependency injection system cleanly separates your Chuanglan 253 / 创蓝 connection logic from agent behavior for testable, maintainable code

Chuanglan 253 / 创蓝 + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Chuanglan 253 / 创蓝 MCP Server delivers measurable value.

Type-safe data pipelines: query Chuanglan 253 / 创蓝 with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Chuanglan 253 / 创蓝 tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Chuanglan 253 / 创蓝 and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Chuanglan 253 / 创蓝 responses and write comprehensive agent tests

Chuanglan 253 / 创蓝 MCP Tools for Pydantic AI (9)

These 9 tools become available when you connect Chuanglan 253 / 创蓝 to Pydantic AI via MCP:

flash_check

One-click login check

get_balance

Check account balance

pull_sms_reports

Pull delivery reports

query_sms_status

Query SMS delivery status

send_intl_sms

Send international SMS

send_sms

Send a standard SMS

send_variable_sms

Send variable SMS

verify_identity

Verify identity (2-element)

verify_phone

Verify phone owner (3-element)

Example Prompts for Chuanglan 253 / 创蓝 in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Chuanglan 253 / 创蓝 immediately.

"Send a verification SMS to '13800138000' with text 'Your code is 8821'."

"Verify identity for 'Zhang San' with ID '110101199001011234'."

"What is my current SMS credit balance?"

Troubleshooting Chuanglan 253 / 创蓝 MCP Server with Pydantic AI

Common issues when connecting Chuanglan 253 / 创蓝 to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Chuanglan 253 / 创蓝 + Pydantic AI FAQ

Common questions about integrating Chuanglan 253 / 创蓝 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 Chuanglan 253 / 创蓝 MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.