How to Use the MemeLord MCP in Google ADK

Q: How do I monitor MemeLord API costs within my Google ADK pipeline?

Your agent calls getapicreditusage to check your remaining balance. This helps you avoid pipeline interruptions during large-scale automated social campaigns.

Q: What happens if the MemeLord API goes down?

Your agent calls checkapihealth to verify MCP connectivity before running generation loops. If the service is unreachable, your code can gracefully fall back to alternative workflows.

Scale your automated social campaigns by letting Google ADK agents generate contextual memes via our MCP Server directly from BigQuery.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect MemeLord MCP to Google ADK

Create your Vinkius account to connect MemeLord 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 MemeLord with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Build Google ADK workflows from trending data

The `list_trending_memes` tool connects Gemini's long-context reasoning directly to live internet culture trends. Your agent pulls current viral formats and cross-references them with customer sentiment data stored in BigQuery. This integration allows your system to identify marketing opportunities. You run high-volume analyses without hitting token limits, translating raw data into cultural assets.

Mass-produce templates using Gemini long-context

The `list_meme_templates` tool pulls classic meme formats directly into your agent's context window. Gemini uses this catalog to select the perfect visual layout for your specific brand message. Once selected, the agent calls `generate_ai_meme` to render the final asset. The entire MCP operation runs within your Google Cloud perimeter, keeping your asset pipeline secure.

Track video generation status with Google ADK webhooks

The `generate_video_meme` tool handles heavy rendering tasks asynchronously to avoid timing out your agent workflows. Your pipeline registers an endpoint to receive the finished video file. You use `list_configured_webhooks` to inspect and manage active endpoints directly from your Python code. This keeps your video production pipeline running without blocking Gemini's execution loop.

Setup guide

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

You initialize the MCP toolset in Python and pass it to your agent constructor. Your Gemini model immediately gains access to tools like `generate_ai_meme` and `edit_meme_with_ai`.

Yes, the toolset class allows you to pass an optional list of allowed names. This restricts your agent to safe tools like `list_meme_categories` while hiding generation tools.

Your agent calls `get_api_credit_usage` to check your remaining balance. This helps you avoid pipeline interruptions during large-scale automated social campaigns.

Your agent calls `check_api_health` to verify MCP connectivity before running generation loops. If the service is unreachable, your code can gracefully fall back to alternative workflows.

All meme text, templates, and API keys are protected by Vinkius's zero-trust infrastructure. No generation data is ever used to train public models, keeping your brand's visual assets private.

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