Chuanglan 253 / 创蓝 MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Chuanglan 253 / 创蓝 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 / 创蓝. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in Chuanglan 253 / 创蓝?"
)
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 / 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.
LlamaIndex agents combine Chuanglan 253 / 创蓝 tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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
- 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 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 / 创蓝 to LlamaIndex via MCP
Follow these steps to integrate the Chuanglan 253 / 创蓝 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 9 tools from Chuanglan 253 / 创蓝
Why Use LlamaIndex with the Chuanglan 253 / 创蓝 MCP Server
LlamaIndex provides unique advantages when paired with Chuanglan 253 / 创蓝 through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Chuanglan 253 / 创蓝 tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Chuanglan 253 / 创蓝 tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Chuanglan 253 / 创蓝, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Chuanglan 253 / 创蓝 tools were called, what data was returned, and how it influenced the final answer
Chuanglan 253 / 创蓝 + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Chuanglan 253 / 创蓝 MCP Server delivers measurable value.
Hybrid search: combine Chuanglan 253 / 创蓝 real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Chuanglan 253 / 创蓝 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 / 创蓝 for fresh data
Analytical workflows: chain Chuanglan 253 / 创蓝 queries with LlamaIndex's data connectors to build multi-source analytical reports
Chuanglan 253 / 创蓝 MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect Chuanglan 253 / 创蓝 to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Chuanglan 253 / 创蓝 to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpChuanglan 253 / 创蓝 + LlamaIndex FAQ
Common questions about integrating Chuanglan 253 / 创蓝 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 / 创蓝 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Chuanglan 253 / 创蓝 to LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.