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How to Use the Skalin MCP in Google ADK

Building Enterprise Agents for Skalin using Google ADK and Gemini.

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Works with every AI agent you already use

…and any MCP-compatible client

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MCP Servers — Included with Plan
Vinkius runs on Google ADK

Connect Skalin MCP to Google ADK

Create your Vinkius account to connect Skalin to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Maintain Client Records with the MCP Server

Need to list all active customer accounts? The `list_cs_accounts` tool gets you that view. Your agent queries this function, and Google ADK processes a full manifest of Skalin clients. It’s designed for enterprise scale. You can build pipelines that process thousands of account records automatically.

Process Account History with Google ADK

Want to see what happened last quarter? Use `list_account_interactions`. Your agent retrieves a chronological log, including every support ticket or executive meeting recorded against the Skalin account. Gemini’s long context window handles this massive amount of historical data effortlessly.

Update Success Plans via the MCP Server

A client's goals changed? Call `update_cs_task`. This tool lets your agent modify existing success tasks directly within Skalin’s system. This ensures that when your agent writes a report, it uses the absolute latest version of the client's strategic plan.

Setup guide

Set up Skalin MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Skalin tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Skalin_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Skalin tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Skalin. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Skalin MCP in Google ADK

Simply run `get_account_health`. The tool returns a structured status report detailing current usage and any flagged issues on the Skalin platform. This is critical for triage.
The `create_cs_account` function handles that provisioning step. Your agent calls it, and Skalin manages the setup process behind the scenes, returning confirmation details.
Yes, `list_cs_alerts` pulls all active system alerts. This lets your agent build a comprehensive overview of potential issues impacting the client's experience on Skalin.
Absolutely. Use `list_account_contacts`. This gathers every person associated with an account, giving your agent a complete stakeholder map for any given client record in Skalin.
Data integrity is maintained across all calls. When the agent uses `log_interaction`, it records only the necessary metadata, keeping conversation specifics secure.

Start using the Skalin MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 12 tools

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