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How to Use the Capsulink MCP in Google ADK

Connect Capsulink to your Google ADK pipelines for automated link management and analytics.

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Google ADK

Connect Capsulink MCP to Google ADK

Create your Vinkius account to connect Capsulink to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Link management in Google ADK

Push URLs through `shorten_url` to get immediate output within your Gemini-powered agent. It maps perfectly to your existing cloud workflows. This MCP Server integrates directly into your agent's toolset. You don't need to build custom wrappers for basic link operations.

Query analytics inside Google ADK

Fetch click data with `get_link_stats` to inform your long-context reasoning models. Your agent can compare these stats against your BigQuery datasets. It allows for real-time analysis of link performance. You see the impact of your campaigns as the data comes in.

Maintain your link structure

Use `list_links` to scan your account and `edit_link_destination` to update targets when your infrastructure changes. The agent manages the updates for you. This keeps your external redirects in sync with your internal services. Everything stays updated through simple tool calls.

Setup guide

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

Install the library and pass the server parameters to McpToolset. You then include this toolset in your LlmAgent definition to start executing commands.
Yes. Use the tool_names argument to limit exposure. This ensures your agent only has access to the specific operations you want it to perform.
All traffic is isolated within your Vinkius sandbox. Only your specific agent endpoint has the authorization to request link statistics or modify your records.
It does. Since the server runs as an MCP node, it acts as a bridge between your agent and your link data without needing extra cloud infrastructure.
Vinkius manages the server updates. Your agent continues to use the same tool definitions, so your code remains stable while the backend stays current.

Start using the Capsulink MCP today

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Built & Managed by Vinkius 30s setup 9 tools

We've already built the connector for Capsulink. Just plug in your AI agents and start using Vinkius.

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