MessageFlow MCP Server for Google ADK 10 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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],
)
* 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.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
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.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with MessageFlow
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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.
Enterprise data agents: ADK agents query MessageFlow and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine MessageFlow tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query MessageFlow regularly and flag policy violations or configuration drift
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:
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 Google ADK
Ready-to-use prompts you can give your Google ADK 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 Google ADK
Common issues when connecting MessageFlow to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkMessageFlow + Google ADK FAQ
Common questions about integrating MessageFlow MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect MessageFlow 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 MessageFlow to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
