Chuanglan 253 / 创蓝 MCP Server for LangChain 9 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Chuanglan 253 / 创蓝 through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"chuanglan-253": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Chuanglan 253 / 创蓝, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Chuanglan 253 / 创蓝 through native MCP adapters. Connect 9 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Chuanglan 253 / 创蓝 MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 9 tools from Chuanglan 253 / 创蓝 via MCP
Why Use LangChain with the Chuanglan 253 / 创蓝 MCP Server
LangChain provides unique advantages when paired with Chuanglan 253 / 创蓝 through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Chuanglan 253 / 创蓝 MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Chuanglan 253 / 创蓝 queries for multi-turn workflows
Chuanglan 253 / 创蓝 + LangChain Use Cases
Practical scenarios where LangChain combined with the Chuanglan 253 / 创蓝 MCP Server delivers measurable value.
RAG with live data: combine Chuanglan 253 / 创蓝 tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Chuanglan 253 / 创蓝, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Chuanglan 253 / 创蓝 tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Chuanglan 253 / 创蓝 tool call, measure latency, and optimize your agent's performance
Chuanglan 253 / 创蓝 MCP Tools for LangChain (9)
These 9 tools become available when you connect Chuanglan 253 / 创蓝 to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Chuanglan 253 / 创蓝 to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersChuanglan 253 / 创蓝 + LangChain FAQ
Common questions about integrating Chuanglan 253 / 创蓝 MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.
