DoubleTick MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect DoubleTick 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({
"doubletick": {
"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 DoubleTick, 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 DoubleTick MCP Server
Integrate DoubleTick, the official WhatsApp Business API-powered marketing and CRM platform, directly into your AI workflow. Manage your customer conversations, track contacts and opt-in statuses, monitor message delivery and templates, and oversee your team activity using natural language.
LangChain's ecosystem of 500+ components combines seamlessly with DoubleTick 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
- Conversation Oversight — List and retrieve detailed information and status for all your WhatsApp customer conversations.
- Contact Intelligence — Monitor contact profiles, phone numbers, and opt-in statuses across your organization.
- Messaging Intelligence — Monitor real-time message delivery statuses, approved templates, and interaction history via chat.
- Fulfillment Auditing — Retrieve high-level summaries of messaging activity, success rates, and active in-progress communications.
The DoubleTick 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.
How to Connect DoubleTick to LangChain via MCP
Follow these steps to integrate the DoubleTick 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 10 tools from DoubleTick via MCP
Why Use LangChain with the DoubleTick MCP Server
LangChain provides unique advantages when paired with DoubleTick through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine DoubleTick 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 DoubleTick queries for multi-turn workflows
DoubleTick + LangChain Use Cases
Practical scenarios where LangChain combined with the DoubleTick MCP Server delivers measurable value.
RAG with live data: combine DoubleTick tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query DoubleTick, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain DoubleTick tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every DoubleTick tool call, measure latency, and optimize your agent's performance
DoubleTick MCP Tools for LangChain (10)
These 10 tools become available when you connect DoubleTick to LangChain via MCP:
get_contact_details
Get detailed profile and conversation status for a specific contact
get_doubletick_account_metadata
Retrieve metadata and limits for your DoubleTick account
list_approved_templates
List all approved WhatsApp message templates in your account
list_conversation_messages
List messages from a specific conversation
list_latest_whatsapp_messages
Identify the most recently received or sent messages across all conversations
list_opted_in_contacts
Identify contacts that have explicitly opted in for WhatsApp communications
list_whatsapp_contacts
List all contacts registered in your DoubleTick account
quick_whatsapp_volume_audit
Retrieve a high-level summary of messaging activity and success rates
search_contacts_by_keyword
Search for contacts using a name keyword or phone number
send_whatsapp_template
Send a pre-approved WhatsApp template message
Example Prompts for DoubleTick in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with DoubleTick immediately.
"List all our WhatsApp contacts."
"Show me the approved WhatsApp templates."
"Search for contact with phone number '+1 555-4444'."
Troubleshooting DoubleTick MCP Server with LangChain
Common issues when connecting DoubleTick to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersDoubleTick + LangChain FAQ
Common questions about integrating DoubleTick 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 DoubleTick 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 DoubleTick to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.