2Chat MCP Server for AutoGen 5 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add 2Chat 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="2chat_agent",
tools=tools,
system_message=(
"You help users with 2Chat. "
"5 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 2Chat MCP Server
Unlock the full potential of WhatsApp automation with 2Chat, the programmable gateway now integrated with your AI agent. By connecting 2Chat via the Model Context Protocol, you transcend the limitations of traditional messaging apps. Your agent can now orchestrate complex group workflows, verify phone numbers before sending, and manage multi-device communications through simple natural language. Whether you're coordinating team alerts or engaging with a community, 2Chat gives your AI the 'voice' it needs on the world's most popular messaging platform.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use 2Chat tools. Connect 5 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
- Programmable Messaging — Send text, images, PDF, and voice messages to any WhatsApp number without template restrictions.
- Group Management — Create groups, add participants, and send group-wide announcements directly from your chat interface.
- Number Verification — Check if a phone number is registered on WhatsApp before sending to improve delivery success.
- Webhooks & Real-time — Monitor incoming messages and delivery status (sent, delivered, read) seamlessly.
- Multi-Device Support — Link multiple WhatsApp numbers to a single API workspace for unified communications.
The 2Chat MCP Server exposes 5 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 2Chat to AutoGen via MCP
Follow these steps to integrate the 2Chat 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 5 tools from 2Chat automatically
Why Use AutoGen with the 2Chat MCP Server
AutoGen provides unique advantages when paired with 2Chat through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use 2Chat tools to solve complex tasks
Role-based architecture lets you assign 2Chat 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 2Chat tool calls
Code execution sandbox: AutoGen agents can write and run code that processes 2Chat tool responses in an isolated environment
2Chat + AutoGen Use Cases
Practical scenarios where AutoGen combined with the 2Chat MCP Server delivers measurable value.
Collaborative analysis: one agent queries 2Chat while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from 2Chat, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using 2Chat data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process 2Chat responses in a sandboxed execution environment
2Chat MCP Tools for AutoGen (5)
These 5 tools become available when you connect 2Chat to AutoGen via MCP:
check_number
Helps prevent failed delivery errors. Verify if a phone number is registered on WhatsApp
create_group
Create a new WhatsApp group with specified participants
list_groups
List all WhatsApp groups that a connected number belongs to
list_numbers
Use this to identify which "from_number" to use in subsequent sending actions. List all WhatsApp phone numbers connected to your 2Chat account
send_message
Can send text or public URL media to direct numbers or a specific group UUID. Send a WhatsApp text or media message using a connected number
Example Prompts for 2Chat in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with 2Chat immediately.
"Check if +123456789 is registered on WhatsApp and send a message saying hello."
"List all my WhatsApp groups."
"Create a new WhatsApp group called 'Project Gamma' and add participant +198765432."
Troubleshooting 2Chat MCP Server with AutoGen
Common issues when connecting 2Chat to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"2Chat + AutoGen FAQ
Common questions about integrating 2Chat 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 2Chat with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 2Chat to AutoGen
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.
