How do I find my MessageFlow API Key?

Log in to MessageFlow, go to the Dashboard, and look for API Settings or Integration to generate your key.

Can I send messages to multiple channels?

Yes, MessageFlow supports SMS, WhatsApp, and Email. Use the specific tool for each channel or the generic message tool.

Is my communication data secure?

Absolutely. Your token is encrypted at rest and injected securely at runtime.

MessageFlow MCP Server for AutoGen 10 tools — connect in under 2 minutes

Name: MessageFlow
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add MessageFlow as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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="messageflow_agent",
            tools=tools,
            system_message=(
                "You help users with MessageFlow. "
                "10 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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Ed25519Audit chain

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 MessageFlow MCP Server

Connect your MessageFlow account to any AI agent and take full control of your cross-channel communications through natural conversation.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use MessageFlow tools. Connect 10 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

Omnichannel Dispatch — Send messages across SMS, WhatsApp, and Email using a unified set of tools
Delivery Auditing — Retrieve real-time status updates and delivery reports for every message sent
Template Management — List and inspect saved message templates for consistent communication
Channel Orchestration — Enumerate available communication channels and their specific configurations
Account Visibility — Monitor your financial balance and limits to ensure continuous operation

The MessageFlow MCP Server exposes 10 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 MessageFlow to AutoGen via MCP

Follow these steps to integrate the MessageFlow 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 10 tools from MessageFlow automatically

Why Use AutoGen with the MessageFlow MCP Server

AutoGen provides unique advantages when paired with MessageFlow through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use MessageFlow tools to solve complex tasks

Role-based architecture lets you assign MessageFlow 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 MessageFlow tool calls

Code execution sandbox: AutoGen agents can write and run code that processes MessageFlow tool responses in an isolated environment

MessageFlow + AutoGen Use Cases

Practical scenarios where AutoGen combined with the MessageFlow MCP Server delivers measurable value.

Collaborative analysis: one agent queries MessageFlow while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from MessageFlow, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using MessageFlow data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process MessageFlow responses in a sandboxed execution environment

MessageFlow MCP Tools for AutoGen (10)

These 10 tools become available when you connect MessageFlow to AutoGen via MCP:

get_account_balance

Get account balance

get_delivery_status

Get message delivery status

get_template

Get template details

list_channels

). List all communication channels

list_messages

List sent messages

list_templates

List message templates

send_email

Send an email message

send_generic_message

Send a message through any channel

send_sms

Send an SMS message

send_whatsapp

Send a WhatsApp message

Example Prompts for MessageFlow in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with MessageFlow immediately.

"Send a WhatsApp message to '+1234567890' saying 'Your order is on the way!'"

"Check the delivery status for message ID 'mf-12345'."

"What is my current MessageFlow account balance?"

Troubleshooting MessageFlow MCP Server with AutoGen

Common issues when connecting MessageFlow to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

MessageFlow + AutoGen FAQ

Common questions about integrating MessageFlow MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call MessageFlow tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.