Wati MCP Server for AutoGen 7 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Wati as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="wati_agent",
tools=tools,
system_message=(
"You help users with Wati. "
"7 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Wati tools. Connect 7 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Wati MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 7 tools from Wati automatically
Why Use AutoGen with the Wati MCP Server
AutoGen provides unique advantages when paired with Wati through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Wati tools to solve complex tasks
Role-based architecture lets you assign Wati tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Wati tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Wati tool responses in an isolated environment
Wati + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Wati MCP Server delivers measurable value.
Collaborative analysis: one agent queries Wati while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Wati, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Wati data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Wati responses in a sandboxed execution environment
Wati MCP Tools for AutoGen (7)
These 7 tools become available when you connect Wati to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Wati to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Wati + AutoGen FAQ
Common questions about integrating Wati MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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 AutoGen
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.