How to Use the Clickatell MCP in LangChain
Build complex messaging chains in LangChain using Clickatell to trigger SMS and WhatsApp deliveries automatically.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Clickatell MCP to LangChain
Create your Vinkius account to connect Clickatell to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Chain messaging logic in LangChain
Feed `send_sms` or `send_whatsapp` outputs directly into downstream processes. Your LangChain agent handles logic branching based on delivery results. This setup connects Clickatell to your existing pipelines. Use the MCP protocol to pass data between tools without manual intervention.
Audit message delivery flows
Pipe `get_message_status` results into LangSmith for deep tracing. You see exactly when a message hits the gateway versus when it fails. LangChain keeps these logs clean. Every tool call leaves a breadcrumb for your debugging sessions.
Manage account resources
Check your `get_account_balance` before firing off bulk campaigns. LangChain stops the chain if credits fall below your threshold. This keeps your infrastructure safe. You avoid failed sends by verifying account status inside the agent loop.
Set up Clickatell MCP in LangChain
Prerequisites
- Python 3.10+ installed
-
langchain-mcp-adapters+langgraphpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChainBaseToolobjects. - 2
Connect via HTTP transport
Use
MultiServerMCPClientwith"transport": "http"pointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create a ReAct agent
Pass the discovered tools to
create_react_agent()from LangGraph. The agent automatically routes Clickatell tool calls through the MCP protocol. - 4
Run with any LLM
Swap
ChatOpenAIforChatAnthropic,ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI
async with MultiServerMCPClient({
"clickatell-alternative-mcp": {
"transport": "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,
)
result = await agent.ainvoke({
"messages": "List recent Clickatell transactions"
})
print(result["messages"][-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Clickatell. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Clickatell MCP in LangChain
Use it with your favorite AI tools
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