Chuanglan 253 / 创蓝 MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Chuanglan 253 / 创蓝 through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Chuanglan 253 / 创蓝 Assistant",
instructions=(
"You help users interact with Chuanglan 253 / 创蓝. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Chuanglan 253 / 创蓝"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 9 tools from Chuanglan 253 / 创蓝 through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Chuanglan 253 / 创蓝, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Chuanglan 253 / 创蓝 MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 9 tools from Chuanglan 253 / 创蓝
Why Use OpenAI Agents SDK with the Chuanglan 253 / 创蓝 MCP Server
OpenAI Agents SDK provides unique advantages when paired with Chuanglan 253 / 创蓝 through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Chuanglan 253 / 创蓝 + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Chuanglan 253 / 创蓝 MCP Server delivers measurable value.
Automated workflows: build agents that query Chuanglan 253 / 创蓝, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Chuanglan 253 / 创蓝, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Chuanglan 253 / 创蓝 tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Chuanglan 253 / 创蓝 to resolve tickets, look up records, and update statuses without human intervention
Chuanglan 253 / 创蓝 MCP Tools for OpenAI Agents SDK (9)
These 9 tools become available when you connect Chuanglan 253 / 创蓝 to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Chuanglan 253 / 创蓝 to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Chuanglan 253 / 创蓝 + OpenAI Agents SDK FAQ
Common questions about integrating Chuanglan 253 / 创蓝 MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Chuanglan 253 / 创蓝 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Chuanglan 253 / 创蓝 to OpenAI Agents SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.
