Submail / 赛邮云 MCP Server for LangChain 8 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Submail / 赛邮云 through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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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({
"submail": {
"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 Submail / 赛邮云, 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 Submail / 赛邮云 MCP Server
Empower your AI agent to orchestrate your multi-channel communications with Submail (赛邮云), the premier cloud communication platform in China. By connecting Submail to your agent, you transform complex SMS broadcasting, HTML email sending, and voice-to-speech notifications into a natural conversation. Your agent can instantly send transactional messages, calculate remaining credit balances, and coordinate verify-by-voice calls without you ever needing to navigate the comprehensive Submail Management Console. Whether you are managing user alerts or coordinating automated verification flows, your agent acts as a real-time communication coordinator, providing accurate and fast results from a single, authorized source.
LangChain's ecosystem of 500+ components combines seamlessly with Submail / 赛邮云 through native MCP adapters. Connect 8 tools via the 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
- Multi-Channel Orchestration — Send SMS, HTML emails, and voice notifications from a single agent interface.
- Template Automation — Utilize project-based templates (XSend) with custom variables for dynamic messaging.
- Verification Management — Trigger voice verification codes and monitor real-time delivery status.
- Credit Auditing — Query remaining balances for SMS, Mail, and Voice credits to ensure service continuity.
- Operational Monitoring — Verify API connectivity and AppID configurations to maintain system-wide health.
The Submail / 赛邮云 MCP Server exposes 8 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 Submail / 赛邮云 to LangChain via MCP
Follow these steps to integrate the Submail / 赛邮云 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 8 tools from Submail / 赛邮云 via MCP
Why Use LangChain with the Submail / 赛邮云 MCP Server
LangChain provides unique advantages when paired with Submail / 赛邮云 through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine Submail / 赛邮云 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 Submail / 赛邮云 queries for multi-turn workflows
Submail / 赛邮云 + LangChain Use Cases
Practical scenarios where LangChain combined with the Submail / 赛邮云 MCP Server delivers measurable value.
RAG with live data: combine Submail / 赛邮云 tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Submail / 赛邮云, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Submail / 赛邮云 tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Submail / 赛邮云 tool call, measure latency, and optimize your agent's performance
Submail / 赛邮云 MCP Tools for LangChain (8)
These 8 tools become available when you connect Submail / 赛邮云 to LangChain via MCP:
get_mail_balance
Get Mail credits balance
get_sms_balance
Get SMS credits balance
get_voice_balance
Get Voice credits balance
send_mail
Send Email
send_sms
Send SMS message
send_template_sms
Send template SMS (XSend)
send_voice
Send Voice notification
send_voice_verify
Send Voice verification code
Example Prompts for Submail / 赛邮云 in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Submail / 赛邮云 immediately.
"Send a standard SMS to '13800138000' with content 'Your package has arrived'."
"Check my current account balance for Mail and Voice credits."
"Send a voice verification code '1234' to '13800138000'."
Troubleshooting Submail / 赛邮云 MCP Server with LangChain
Common issues when connecting Submail / 赛邮云 to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersSubmail / 赛邮云 + LangChain FAQ
Common questions about integrating Submail / 赛邮云 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 Submail / 赛邮云 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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.
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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 Submail / 赛邮云 to LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.