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

Built by Vinkius GDPR 9 Tools Framework

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.

Vinkius supports streamable HTTP and SSE.

python
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())
Chuanglan 253 / 创蓝
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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.

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.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

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.

01

The largest ecosystem of integrations, chains, and agents. combine Chuanglan 253 / 创蓝 MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

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.

01

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

02

Autonomous research agents: LangChain agents query Chuanglan 253 / 创蓝, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Chuanglan 253 / 创蓝 tools with web scrapers, databases, and calculators in a single agent run

04

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:

01

flash_check

One-click login check

02

get_balance

Check account balance

03

pull_sms_reports

Pull delivery reports

04

query_sms_status

Query SMS delivery status

05

send_intl_sms

Send international SMS

06

send_sms

Send a standard SMS

07

send_variable_sms

Send variable SMS

08

verify_identity

Verify identity (2-element)

09

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.

01

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

02

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

03

"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.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Chuanglan 253 / 创蓝 + LangChain FAQ

Common questions about integrating Chuanglan 253 / 创蓝 MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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.