Cloopen / 容联云 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 Cloopen / 容联云 as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 Cloopen / 容联云. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Cloopen / 容联云?"
)
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 Cloopen / 容联云 MCP Server
Empower your AI agent to orchestrate your cloud communication with Cloopen (容联云), the premier CPaaS provider in China. By connecting Cloopen to your agent, you transform complex SMS campaigns, voice verification, and communication application management into a natural conversation. Your agent can instantly send template-based SMS, initiate voice verification calls, monitor delivery status, and retrieve account information without you ever needing to navigate the comprehensive Cloopen portal. Whether you are automating user verification or coordinating large-scale notifications, your agent acts as a real-time communication assistant, keeping your messages accurate and your delivery reliable.
LlamaIndex agents combine Cloopen / 容联云 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
- SMS Orchestration — Send template-based SMS and retrieve real-time delivery status for verification and notifications.
- Voice Verification — Initiate automated voice calls to deliver verification codes or critical notifications.
- Application Management — List and retrieve detailed information about your communication applications and IVR configs.
- Account Auditing — Retrieve high-level account information and monitor your resource usage.
- Template Control — Browse approved SMS templates to ensure consistent messaging across your organization.
The Cloopen / 容联云 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 Cloopen / 容联云 to LlamaIndex via MCP
Follow these steps to integrate the Cloopen / 容联云 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 Cloopen / 容联云
Why Use LlamaIndex with the Cloopen / 容联云 MCP Server
LlamaIndex provides unique advantages when paired with Cloopen / 容联云 through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Cloopen / 容联云 tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Cloopen / 容联云 tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Cloopen / 容联云, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Cloopen / 容联云 tools were called, what data was returned, and how it influenced the final answer
Cloopen / 容联云 + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Cloopen / 容联云 MCP Server delivers measurable value.
Hybrid search: combine Cloopen / 容联云 real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Cloopen / 容联云 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 Cloopen / 容联云 for fresh data
Analytical workflows: chain Cloopen / 容联云 queries with LlamaIndex's data connectors to build multi-source analytical reports
Cloopen / 容联云 MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Cloopen / 容联云 to LlamaIndex via MCP:
get_account_info
Get account information
get_app
Get application details
get_ivr
Get IVR configuration
list_apps
List applications
list_callback
Initiate double-call callback
list_landing_calls
Initiate landing call
list_templates
List SMS templates
list_voice_codes
Send voice verification code
query_sms
Query SMS status
send_sms
Send template SMS
Example Prompts for Cloopen / 容联云 in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Cloopen / 容联云 immediately.
"Send a verification code '1234' to '13800000000' using template '1'."
"Check my current account balance and info on Cloopen."
"List all my approved SMS templates."
Troubleshooting Cloopen / 容联云 MCP Server with LlamaIndex
Common issues when connecting Cloopen / 容联云 to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCloopen / 容联云 + LlamaIndex FAQ
Common questions about integrating Cloopen / 容联云 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 Cloopen / 容联云 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.
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 Cloopen / 容联云 to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.