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

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add MessageFlow as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Vinkius supports streamable HTTP and SSE.

python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="messageflow_agent",
    instruction=(
        "You help users interact with MessageFlow "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)
MessageFlow
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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.

Google ADK natively supports MessageFlow as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the MessageFlow MCP Server with Google ADK.

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 10 tools from MessageFlow via MCP

Why Use Google ADK with the MessageFlow MCP Server

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

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with MessageFlow

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine MessageFlow tools with BigQuery, Vertex AI, and Cloud Functions

MessageFlow + Google ADK Use Cases

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

01

Enterprise data agents: ADK agents query MessageFlow and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine MessageFlow tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query MessageFlow regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including MessageFlow

MessageFlow MCP Tools for Google ADK (10)

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

01

get_account_balance

Get account balance

02

get_delivery_status

Get message delivery status

03

get_template

Get template details

04

list_channels

). List all communication channels

05

list_messages

List sent messages

06

list_templates

List message templates

07

send_email

Send an email message

08

send_generic_message

Send a message through any channel

09

send_sms

Send an SMS message

10

send_whatsapp

Send a WhatsApp message

Example Prompts for MessageFlow in Google ADK

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

01

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

02

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

03

"What is my current MessageFlow account balance?"

Troubleshooting MessageFlow MCP Server with Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

MessageFlow + Google ADK FAQ

Common questions about integrating MessageFlow MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

Connect MessageFlow to Google ADK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.