Chuanglan 253 MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Chuanglan 253 as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Chuanglan 253. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Chuanglan 253?"
)
print(response)
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 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.
LlamaIndex agents combine Chuanglan 253 tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Chuanglan 253 MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Chuanglan 253
Why Use LlamaIndex with the Chuanglan 253 MCP Server
LlamaIndex provides unique advantages when paired with Chuanglan 253 through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Chuanglan 253 tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Chuanglan 253 tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Chuanglan 253, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Chuanglan 253 tools were called, what data was returned, and how it influenced the final answer
Chuanglan 253 + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Chuanglan 253 MCP Server delivers measurable value.
Hybrid search: combine Chuanglan 253 real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Chuanglan 253 to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Chuanglan 253 for fresh data
Analytical workflows: chain Chuanglan 253 queries with LlamaIndex's data connectors to build multi-source analytical reports
Chuanglan 253 MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Chuanglan 253 to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Chuanglan 253 to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpChuanglan 253 + LlamaIndex FAQ
Common questions about integrating Chuanglan 253 MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Chuanglan 253 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 to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
