Wati MCP Server for LangChain 7 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Wati 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({
"wati": {
"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 Wati, 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 Wati MCP Server
Connect your Wati account to any AI agent and power your customer communication on WhatsApp through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Wati through native MCP adapters. Connect 7 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
- Unified Messaging — Send approved WhatsApp template messages or free-text session replies to your customers
- Contact Management — List all WhatsApp contacts in your Wati CRM and retrieve full profile details by phone number
- Chat History — Retrieve the recent message history for any contact to provide personalized support or sales follow-ups
- Template Discovery — List all approved and pending WhatsApp message templates available for outbound messaging
- Broadcast Campaigns — Monitor previous and active WhatsApp broadcast campaigns and track their delivery status
- Customer Roster — Quickly browse your customer list and their associated phone numbers directly from your agent
The Wati MCP Server exposes 7 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 Wati to LangChain via MCP
Follow these steps to integrate the Wati 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 7 tools from Wati via MCP
Why Use LangChain with the Wati MCP Server
LangChain provides unique advantages when paired with Wati through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Wati 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 Wati queries for multi-turn workflows
Wati + LangChain Use Cases
Practical scenarios where LangChain combined with the Wati MCP Server delivers measurable value.
RAG with live data: combine Wati tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Wati, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Wati tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Wati tool call, measure latency, and optimize your agent's performance
Wati MCP Tools for LangChain (7)
These 7 tools become available when you connect Wati to LangChain via MCP:
get_whatsapp_chat_history
Provide the contact’s phone number. Retrieves the recent message history for a specific contact
get_whatsapp_contact_details
Retrieves profile details for a specific WhatsApp contact by phone number
list_broadcast_campaigns
Lists previous and active WhatsApp broadcast campaigns
list_whatsapp_contacts
Lists all WhatsApp contacts in the Wati CRM
list_whatsapp_templates
Lists all approved and pending WhatsApp message templates
send_session_message
Sends a free-text session message to a user
send_template_message
Requires the template name and target phone number. Sends an approved WhatsApp template message
Example Prompts for Wati in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Wati immediately.
"List all my WhatsApp contacts in Wati."
"Send the 'order_confirmation' template to +123456789."
"What was my last conversation with +123456789 about?"
Troubleshooting Wati MCP Server with LangChain
Common issues when connecting Wati to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersWati + LangChain FAQ
Common questions about integrating Wati 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 Wati 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 Wati to LangChain
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.