How to Use the Loomly MCP in Google ADK

Q: How do I integrate Loomly with Google ADK?

Import the McpToolset and pass your server URL into the constructor. Your agent will then be able to call any of the eight available tools.

Q: Can I filter tools when using Loomly in Google ADK?

You can use the toolnames filter to limit which functions your agent can access. This restricts the agent to only the operations you permit.

Integrate Loomly into your Google ADK infrastructure to manage social media workflows directly from your enterprise agents.

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Connect Loomly MCP to Google ADK

Create your Vinkius account to connect Loomly 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 Loomly with Google ADK

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Sync calendars using Google ADK

The `list_calendars` tool provides your agent with a full view of your current social media setup. It maps your existing infrastructure to the agent's logic. By using `get_calendar_details`, your agent pulls specific metadata to ensure accurate scheduling. It connects your cloud data to your social output.

Retrieve post analytics with Google ADK

Query `get_post_details` to understand the state of any scheduled content. Your agent can verify status and timing before taking further action. This creates a tight feedback loop for your marketing operations. You stop guessing about the state of your social calendar.

Access Loomly profiles through Google ADK

Use `get_user_profile` to confirm the identity and permissions of the connected account. This ensures your agent acts with the correct authorization. It provides a clear audit trail for every action performed. Your agent knows exactly who is making changes to the calendar.

Setup guide

Set up Loomly 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 Loomly 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="Loomly_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Loomly 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 Loomly. 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

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

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place for every integration

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

Common questions about Loomly MCP in Google ADK

Import the `McpToolset` and pass your server URL into the constructor. Your agent will then be able to call any of the eight available tools.

Yes. The tools return structured data that works perfectly with Gemini models. Your agent can digest large amounts of post history easily.

You can use the tool_names filter to limit which functions your agent can access. This restricts the agent to only the operations you permit.

Vinkius uses a zero-trust architecture. Your credentials are abstracted, and the server operates within an isolated sandbox environment.

The server returns standard JSON payloads containing post status, timing, and content. This includes text, media IDs, and scheduling timestamps.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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