How to Use the Skalin MCP in Google ADK
Building Enterprise Agents for Skalin using Google ADK and Gemini.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Skalin MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required. - 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.
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
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