How to Use the Cosmic MCP in Google ADK

Q: How does Google ADK handle Cosmic media limits?

The agent uses listuploadedmedia to inspect internal arrays. It can programmatically track how close you are to your plan limits and flag large assets for removal.

Feed your Cosmic CMS content directly into Gemini's massive context window using the Google ADK to analyze entire media libraries.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Cosmic MCP to Google ADK

Create your Vinkius account to connect Cosmic 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.

GDPR Free for Subscribers

Setup Cosmic with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Multi-gigabyte media audits with Google ADK

Gemini's million-token context window is perfect for analyzing entire media libraries. By connecting the Google ADK to your Cosmic bucket, your agent can run `list_uploaded_media` to pull your entire media index in one go. The agent uses `get_media_asset` to inspect individual image metadata, comparing your Cosmic assets against BigQuery tables to find unused files. If it spots orphans, it can trigger `wipe_media_asset` to clean up your cloud storage via the Google ADK.

Enterprise schema mapping via Google ADK

Large-scale enterprise content models can be incredibly messy. The Google ADK uses `list_schema_types` to map out your entire Cosmic architecture, feeding the structural rules directly into Gemini's reasoning engine. From there, the agent invokes `get_schema_details` to understand exactly which fields are required for your Cosmic database. This lets you cross-reference your CMS structure with Vertex AI datasets to ensure your content fields match your machine learning models.

Bulk draft writing using this Cosmic MCP Server

Instead of copying text manually, let your Google ADK agent write directly to your Cosmic bucket. The agent can fetch existing entries with `get_single_object` and then use `patch_cms_object` to update localized copy in bulk. When generating fresh content from your Google Cloud pipelines, this Cosmic MCP Server lets the agent invoke `create_cms_object` to push structured JSON drafts instantly. It eliminates the manual copy-paste loop entirely between Gemini and Cosmic.

Setup guide

Set up Cosmic 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 Cosmic 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="Cosmic_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Cosmic tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

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

Connect Cosmic now

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 Cosmic MCP in Google ADK

Install the package with pip install google-adk. Then, pass your Cosmic Vinkius HTTP endpoint into the McpToolset constructor to expose the MCP tools.

No, they cannot modify the actual schemas. Your Google ADK agent can read schemas using list_schema_types, but writes are restricted to drafting and editing content objects.

Yes, indirectly. Your Google ADK agent can read structured data from BigQuery and use it to populate or update fields in your Cosmic bucket via create_cms_object.

The agent uses list_uploaded_media to inspect internal arrays. It can programmatically track how close you are to your plan limits and flag large assets for removal.

Absolutely. Your Cosmic schema details and object payloads are transmitted over secure TLS directly to your Google ADK runtime, processed in memory, and never cached on external intermediate servers.

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