SMS Masivo MCP Server for LangChainGive LangChain instant access to 10 tools to Check Smsmasivo Status, Create Contact, Get Balance, and more
LangChain is the leading Python framework for composable LLM applications. Connect SMS Masivo through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this App Connector for LangChain
The SMS Masivo app connector for LangChain is a standout in the Communication Messaging category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"sms-masivo": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using SMS Masivo, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 SMS Masivo MCP Server
Connect your SMS Masivo account to any AI agent and automate your SMS communications through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with SMS Masivo through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Send SMS — Send individual messages to any international phone number.
- Bulk Messaging — Send the same message to multiple recipients at once.
- Scheduled Delivery — Schedule SMS for future delivery at a specific date and time.
- Delivery Reports — Track real-time delivery status for individual or batch messages.
- Contacts — Manage your contact directory and create new entries.
- Groups — View contact groups for campaign targeting.
- Balance — Check your available SMS credits.
The SMS Masivo MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 10 SMS Masivo tools available for LangChain
When LangChain connects to SMS Masivo through Vinkius, your AI agent gets direct access to every tool listed below — spanning bulk-sms, transactional-messaging, delivery-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify SMS Masivo API connectivity
Create a new contact
Check your SMS credit balance
Get the delivery report for a specific message
List all contacts in your account
List delivery reports by date range
List all contact groups
Provide the date in ISO 8601 format. Schedule an SMS for future delivery
Provide comma-separated numbers in international format. Send the same SMS to multiple recipients
Optionally provide a campaign name for tracking. Send an SMS message to a single recipient
Connect SMS Masivo to LangChain via MCP
Follow these steps to wire SMS Masivo into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the SMS Masivo MCP Server
LangChain provides unique advantages when paired with SMS Masivo through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine SMS Masivo MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across SMS Masivo queries for multi-turn workflows
SMS Masivo + LangChain Use Cases
Practical scenarios where LangChain combined with the SMS Masivo MCP Server delivers measurable value.
RAG with live data: combine SMS Masivo tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query SMS Masivo, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain SMS Masivo tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every SMS Masivo tool call, measure latency, and optimize your agent's performance
Example Prompts for SMS Masivo in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with SMS Masivo immediately.
"Send an SMS to +573001234567 saying 'Your appointment is confirmed for tomorrow at 2 PM'."
"Check my SMS credit balance."
"Send a bulk SMS to +573001234567, +573009876543, +573005551234 with the message 'Holiday sale starts tomorrow!'."
Troubleshooting SMS Masivo MCP Server with LangChain
Common issues when connecting SMS Masivo to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersSMS Masivo + LangChain FAQ
Common questions about integrating SMS Masivo MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.