Chuanglan 253 MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Chuanglan 253 through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"chuanglan-253-1": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Chuanglan 253 Agent",
instructions:
"You help users interact with Chuanglan 253 " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Chuanglan 253?"
);
console.log(result.text);
}
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 MCP Server
Connect your Chuanglan 253 SMS gateway to any AI agent and transform your communication workflows through natural conversation. Chuanglan (创蓝) is one of China's largest CPaaS providers, handling billions of SMS messages monthly for verification, notifications, and marketing.
Mastra's agent abstraction provides a clean separation between LLM logic and Chuanglan 253 tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Send SMS Messages — Deliver text messages to any phone number worldwide with country code support
- Verification Codes — Send one-time passwords (OTP) for 1-click login flows and two-factor authentication
- Voice Verification — Fallback to automated voice calls when SMS delivery is unreliable
- Balance Monitoring — Check your SMS credit balance and quota in real-time before campaigns
- Delivery Tracking — Query the status of individual messages or entire batches with message IDs
- Template Management — List, create, and manage pre-approved SMS templates for compliance
- Account Management — View account settings, permissions, and enabled features
The Chuanglan 253 MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra 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 to Mastra AI via MCP
Follow these steps to integrate the Chuanglan 253 MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Chuanglan 253 via MCP
Why Use Mastra AI with the Chuanglan 253 MCP Server
Mastra AI provides unique advantages when paired with Chuanglan 253 through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Chuanglan 253 without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Chuanglan 253 tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Chuanglan 253 + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Chuanglan 253 MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Chuanglan 253, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Chuanglan 253 as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Chuanglan 253 on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Chuanglan 253 tools alongside other MCP servers
Chuanglan 253 MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Chuanglan 253 to Mastra AI via MCP:
create_template
The template must be approved before it can be used. Template content should include variable placeholders like {1}, {2} for dynamic content. Approval typically takes a few minutes to hours. Create a new SMS template in Chuanglan 253
get_account_info
). Get Chuanglan 253 account information and settings
get_sms_balance
Use this to monitor available messaging capacity before sending campaigns. Check SMS account balance on Chuanglan 253
query_batch_sms_status
This is useful for checking the status of bulk SMS campaigns where multiple messages were sent with the same tracking identifier. Query delivery status for a batch of SMS messages
query_sms_status
Returns whether the message was delivered, is pending, or failed, along with timestamps. Query delivery status of a specific SMS message
query_template_list
Templates are pre-approved message formats that can be used for sending. Each template has an ID, name, content, and approval status. List all SMS templates in your Chuanglan account
send_international_sms
The phone number must include the country code without 00 prefix (e.g., 5511999999999 for Brazil). This endpoint uses the international gateway and requires proper permissions. Send an international SMS message via Chuanglan 253
send_sms
The phone number must include the country code (e.g., 86 for China, 55 for Brazil). For Chinese domestic SMS, the message content must start with a signature in brackets like [YourBrand]. Returns submission status and message ID. Send an SMS message via Chuanglan 253 platform
send_verification_sms
This is commonly used for 1-click login flows, phone number verification, and two-factor authentication. The message format should follow the template registered in your account. Phone number must include country code. Send a verification code SMS (1-click login style)
send_voice_verification
This is an alternative to SMS verification, useful when SMS delivery fails or for enhanced security. The code will be spoken in the call. Send a voice verification call with a code
Example Prompts for Chuanglan 253 in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Chuanglan 253 immediately.
"Send a verification code 837462 to phone number 8615800000000."
"Check my SMS balance and account status."
"What's the delivery status of message ID 162575412960104448?"
Troubleshooting Chuanglan 253 MCP Server with Mastra AI
Common issues when connecting Chuanglan 253 to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpChuanglan 253 + Mastra AI FAQ
Common questions about integrating Chuanglan 253 MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Chuanglan 253 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
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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.
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 to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
