How to Use the LinkAce MCP in Google ADK

Connect Gemini-powered Google ADK agents to your LinkAce instance to search, organize, and manage bookmark collections.

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Connect LinkAce MCP to Google ADK

Create your Vinkius account to connect LinkAce 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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Setup LinkAce with Google ADK

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Feed LinkAce bookmarks into Gemini long context

The `list_all_bookmarks` tool pulls your entire link library directly into your Google ADK agent. Because Gemini models support massive context windows, your agent can process thousands of bookmarks at once to find patterns or organize archives. This MCP Server handles the connection details so you can focus on building your pipeline. Your agent can read bookmark metadata, match it with enterprise data from BigQuery, and update records without manual code.

Build Google ADK workflows to organize tags

The `create_new_tag` tool lets your agent build a structured taxonomy for your saved links. Your agent can check existing categories with `list_all_tags` to ensure it does not create duplicate labels. Running this setup on Google Cloud lets you trigger bookmarking tasks from cloud events. When a new resource is deployed, your agent can run `create_new_bookmark` to log the URL in your LinkAce repository.

Search and clean up collections via Gemini

The `search_bookmarks` tool allows your agent to find specific entries using natural language queries. If an entry is outdated or broken, the agent can use `delete_bookmark` to remove it from your archive. You can control which tools are exposed by configuring the tool names filter in your Google ADK tools setup. This keeps your agent focused on specific tasks like reading via `get_bookmark_details` instead of writing.

Setup guide

Set up LinkAce 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

Install Google ADK

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

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

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 LinkAce 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="LinkAce_agent",
    model="gemini-2.0-flash",
    instruction="You have access to LinkAce tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by LinkAce. 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.

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Common questions about LinkAce MCP in Google ADK

Instantiate the MCP toolset with your Vinkius HTTP transport URL. Pass that toolset object into your LlmAgent constructor in your Python code.

Yes, you can use the tool names filter in the toolset configuration. This lets you expose only read tools like `list_all_bookmarks` while blocking write tools.

Gemini reads the tool schemas provided by the MCP Server to understand what parameters are required. It then generates the correct JSON-RPC payload to execute actions like `create_new_collection`.

Yes, the integration supports both transport types. For cloud-hosted Google ADK deployments, we recommend using the streamable HTTP transport.

All bookmark metadata and API tokens are processed within isolated V8 sandboxes. No raw LinkAce data is stored on Vinkius, and communication is encrypted end-to-end between your agent and the server.

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