Submail / 赛邮云 MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Submail / 赛邮云 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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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 Submail / 赛邮云. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Submail / 赛邮云?"
)
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 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.
LlamaIndex agents combine Submail / 赛邮云 tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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
- 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 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 Submail / 赛邮云 to LlamaIndex via MCP
Follow these steps to integrate the Submail / 赛邮云 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 8 tools from Submail / 赛邮云
Why Use LlamaIndex with the Submail / 赛邮云 MCP Server
LlamaIndex provides unique advantages when paired with Submail / 赛邮云 through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Submail / 赛邮云 tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Submail / 赛邮云 tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Submail / 赛邮云, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Submail / 赛邮云 tools were called, what data was returned, and how it influenced the final answer
Submail / 赛邮云 + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Submail / 赛邮云 MCP Server delivers measurable value.
Hybrid search: combine Submail / 赛邮云 real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Submail / 赛邮云 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 Submail / 赛邮云 for fresh data
Analytical workflows: chain Submail / 赛邮云 queries with LlamaIndex's data connectors to build multi-source analytical reports
Submail / 赛邮云 MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Submail / 赛邮云 to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Submail / 赛邮云 to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpSubmail / 赛邮云 + LlamaIndex FAQ
Common questions about integrating Submail / 赛邮云 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?
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Connect Submail / 赛邮云 to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.