Can my AI automatically reply to an agitated customer on WhatsApp?

Yes. If you point your AI to an active conversation ID, the agent can analyze the raw message history to gauge the emotion. It will draft a polite, perfectly-toned de-escalation message, and if you approve it, it'll trigger the `send_message` tool pointing directly to the customer's WhatsApp payload.

Can I bulk analyze all incoming conversations over the weekend?

Absolutely. You can request your agent to invoke the `list_conversations` command. Your agent can read the active, unassigned threads, categorize them by user intent (e.g., 'refund query', 'feature request'), and provide you a summary dashboard right inside your IDE or markdown interface.

How does the AI know if a customer has an automation flow attached?

Your agent can call `list_automation_flows` as well as query the specific `get_contact_details` tool. This cross-references whether the phone number currently triggers out of an existing flow ID, preventing your AI from interrupting an active bot onboarding session accidentally.

SleekFlow MCP Server for Google ADK 7 tools — connect in under 2 minutes

Name: SleekFlow
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 7 Tools SDK

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

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

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="sleekflow_agent",
    instruction=(
        "You help users interact with SleekFlow "
        "using 7 available tools."
    ),
    tools=[mcp_tools],
)

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 SleekFlow MCP Server

Connect your SleekFlow platform to any AI agent to power up your conversational support, sales, and marketing. Read real-time chat threads spanning across multiple digital channels and dispatch replies without leaving your chat interface.

Google ADK natively supports SleekFlow as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 7 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

Unified Conversations — Track and retrieve ongoing chat histories across WhatsApp, Instagram, Telegram, and WeChat
Direct Messaging — Compose and send outbound responses or proactive messages back to customers seamlessly
Contact Management — List all synced contacts and get their deep profile metadata including CRM ties
Chat Segmentation — View categorization labels to segment hot leads or identify VIP support customers
Automation Overviews — Retrieve a list of your configured automation workflows and active chatbot trees

The SleekFlow MCP Server exposes 7 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 SleekFlow to Google ADK via MCP

Follow these steps to integrate the SleekFlow 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 7 tools from SleekFlow via MCP

Why Use Google ADK with the SleekFlow MCP Server

Google ADK provides unique advantages when paired with SleekFlow 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 SleekFlow

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 SleekFlow tools with BigQuery, Vertex AI, and Cloud Functions

SleekFlow + Google ADK Use Cases

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

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

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

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

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

SleekFlow MCP Tools for Google ADK (7)

These 7 tools become available when you connect SleekFlow to Google ADK via MCP:

get_contact_details

Retrieves details for a specific contact

list_automation_flows

Lists available automation flows

list_channels

Lists all connected communication channels

list_contact_labels

Lists all labels used for contact categorization

list_contacts

Lists all contacts in SleekFlow

list_conversations

Lists all conversations across channels

send_message

Sends a message in a conversation

Example Prompts for SleekFlow in Google ADK

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

"Show me all unread conversations from this weekend."

"Send a reply to conversation conv-xxxx saying 'Your refund has been processed. It will appear in 3-5 business days.'"

Troubleshooting SleekFlow MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

SleekFlow + Google ADK FAQ

Common questions about integrating SleekFlow MCP Server with Google ADK.

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.

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.

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.