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Vinkius runs on Google ADK

How to Use the Skylink MCP in Google ADK

Run enterprise sales automation using Google ADK and BigQuery data.

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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 Skylink MCP to Google ADK

Create your Vinkius account to connect Skylink 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

Process high volumes of leads via MCP Server

When a new prospect comes in, your agent calls `create_lead` to log the initial record into Skylink. Then, you can use `list_leads` to pull all current records for batch processing within BigQuery. Furthermore, if a lead's status changes, calling `update_lead` ensures that the most recent state is recorded correctly before your agent performs its next action.

Analyze deal progression with Google ADK

Want to see a specific opportunity? Use `get_deal` to pull all details for one record. If the deal changes, you call `update_deal`, which automatically syncs the change into your cloud data warehouse. You can also get a full view of every active deal using `list_deals`. This lets your agent run complex analysis on the entire sales pipeline.

Manage contacts and associated tasks via MCP Server

To start, call `get_contact` to grab all basic details for a person. Need them reminded about something? Use `create_task`, which logs the item directly into the contact's file in Skylink. When your agent needs to see everything related to that account, it can use `list_activities`. This centralizes every touchpoint, making sure no detail gets lost when analyzing data outside of Skylink.

Setup guide

Set up Skylink 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 Skylink 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="Skylink_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Skylink 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 Skylink. 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 Skylink MCP in Google ADK

You can call `get_lead_timeline` to retrieve every logged action for a single lead. This timeline provides the necessary context for your agent when it's performing deep analysis in BigQuery.
Yes, you run `list_leads_by_status`. You can filter to isolate specific groups of prospects—say, only those marked 'Needs Follow-up'—for targeted analysis.
Run `check_skylink_status`. This verifies that your connection to the MCP Server is active. It’s a quick sanity check before running any large-scale data pulls.
This server handles Deal data. Tools like `get_deal` and `update_deal` ensure that deal records, including value and stage changes, are correctly reflected.
You call `list_contacts`. This action pulls every contact record available. It's a foundational step for any agent needing to build out a full customer profile.

Start using the Skylink MCP today

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