Termii MCP Server for LangChainGive LangChain instant access to 6 tools to Check Balance, List Sender Ids, Send Otp, and more
LangChain is the leading Python framework for composable LLM applications. Connect Termii 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 Termii app connector for LangChain is a standout in the Communication Messaging category — giving your AI agent 6 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({
"termii": {
"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 Termii, 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 Termii MCP Server
Connect your Termii account to any AI agent and simplify how you manage your global messaging, secure verification, and multi-channel engagement through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Termii through native MCP adapters. Connect 6 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
- Multi-channel Messaging — Send standard SMS and WhatsApp messages to recipients worldwide with reliable delivery tracking.
- Secure Verification (OTP) — Send and verify one-time passwords (OTP) programmatically to secure your user onboarding and transactions.
- Sender ID Management — List all registered Sender IDs to ensure your messages are delivered with recognized branding.
- Financial Monitoring — Check your account balance and track credit usage for your messaging campaigns directly from the agent.
- Global Coverage — Reach users across different channels (SMS, WhatsApp, Voice) using Termii's unified communication infrastructure.
- Real-time Oversight — Monitor transaction statuses and verify identity tokens instantly via AI commands.
The Termii MCP Server exposes 6 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 6 Termii tools available for LangChain
When LangChain connects to Termii through Vinkius, your AI agent gets direct access to every tool listed below — spanning multi-channel-messaging, otp-verification, whatsapp-business, 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.
Check account balance
List all registered Sender IDs
Pass options in JSON. Send a one-time password
Pass data as a JSON string. Send an SMS message
Pass data as a JSON string. Send a WhatsApp message
Verify an OTP code
Connect Termii to LangChain via MCP
Follow these steps to wire Termii 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 Termii MCP Server
LangChain provides unique advantages when paired with Termii through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Termii 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 Termii queries for multi-turn workflows
Termii + LangChain Use Cases
Practical scenarios where LangChain combined with the Termii MCP Server delivers measurable value.
RAG with live data: combine Termii tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Termii, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Termii tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Termii tool call, measure latency, and optimize your agent's performance
Example Prompts for Termii in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Termii immediately.
"Send a verification code (OTP) to +15550199."
"Check my account balance."
"List all Sender IDs registered for my account."
Troubleshooting Termii MCP Server with LangChain
Common issues when connecting Termii to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersTermii + LangChain FAQ
Common questions about integrating Termii 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.