ClickSend MCP Server for LangChain 8 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect ClickSend 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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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({
"clicksend": {
"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 ClickSend, 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 ClickSend MCP Server
Connect your ClickSend account to any AI agent and take full control of your multi-channel messaging through natural conversation. Streamline how you communicate with customers via SMS, Voice, and even Physical Post natively.
LangChain's ecosystem of 500+ components combines seamlessly with ClickSend through native MCP adapters. Connect 8 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
- SMS Delivery — Send single or batch SMS messages to recipients globally in E.164 format natively
- History Intelligence — Access detailed outbound and inbound SMS history to audit conversations flawlessly
- Campaign Management — List and review scheduled SMS marketing campaigns and their current states securely
- Voice & Post Logistics — Retrieve history for automated voice calls and physical letters sent via ClickSend flawlessly
- Contact Management — List and monitor contacts stored in your account to manage your audience securely
- Account Visibility — Retrieve core account details, including credit balance, directly within your workspace flawlessly
The ClickSend MCP Server exposes 8 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.
How to Connect ClickSend to LangChain via MCP
Follow these steps to integrate the ClickSend MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 8 tools from ClickSend via MCP
Why Use LangChain with the ClickSend MCP Server
LangChain provides unique advantages when paired with ClickSend through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine ClickSend 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 ClickSend queries for multi-turn workflows
ClickSend + LangChain Use Cases
Practical scenarios where LangChain combined with the ClickSend MCP Server delivers measurable value.
RAG with live data: combine ClickSend tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query ClickSend, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain ClickSend tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every ClickSend tool call, measure latency, and optimize your agent's performance
ClickSend MCP Tools for LangChain (8)
These 8 tools become available when you connect ClickSend to LangChain via MCP:
get_clicksend_account_info
Retrieve core account details and balance
get_physical_mail_history
Retrieve a history of physical letters sent via ClickSend Post
get_sms_outbound_history
Retrieve a history of sent SMS messages
get_voice_call_history
Retrieve a history of automated voice calls sent
list_clicksend_contacts
List all contacts stored in ClickSend
list_received_sms
List all inbound (received) SMS messages
list_sms_marketing_campaigns
List all scheduled and sent SMS marketing campaigns
send_clicksend_sms
Numbers should be in E.164 format. Send one or more SMS messages
Example Prompts for ClickSend in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with ClickSend immediately.
"Send a 'Welcome to Vinkius!' SMS to +1234567890."
"List all received SMS from today."
"What is my current ClickSend balance?"
Troubleshooting ClickSend MCP Server with LangChain
Common issues when connecting ClickSend to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersClickSend + LangChain FAQ
Common questions about integrating ClickSend 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.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect ClickSend with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
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 ClickSend to LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.