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How to Use the Evil Insult MCP in Google ADK

Let your Gemini agents generate insults with Google ADK, right alongside your BigQuery and Vertex AI tools.

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Google ADK

Connect Evil Insult MCP to Google ADK

Create your Vinkius account to connect Evil Insult 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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One Tool, Ready for Gemini

This server exposes a single tool: `generate_insult`. Using the Google ADK, you wrap the server URL in an `McpToolset` and pass it to your `LlmAgent`. That's it. Your Gemini-powered agent can now generate insults. Because Gemini models can handle huge contexts, your agent can have a very long conversation, analyze a situation, and then decide to call `generate_insult`. The tool itself is simple, but the reasoning behind when to use it can be as complex as you need.

Mix Fun Tools with Enterprise Data

The real power of using this with Google ADK is context. Your agent can have a toolset that includes `generate_insult` right next to a tool that runs a BigQuery job. It's all part of the same ecosystem. Your agent could analyze enterprise data, find a disappointing metric, and then use this MCP Server to generate an appropriate reaction. It's about building agents that can interact with your whole world, from serious databases to joke APIs.

Restrict Agents to Specific Tools

Maybe you don't want your agent to have access to everything. When you configure the `McpToolset`, you can use the `tool_names` filter to explicitly allow only `generate_insult`. This lets you build highly specialized agents. You can have one agent that only tells jokes, another that only generates insults, and a third that only queries databases. The Google ADK gives you the control to grant permissions tool by tool.

Setup guide

Set up Evil Insult 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 Evil Insult 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="Evil Insult_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Evil Insult 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 Evil Insult Generator. 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 Evil Insult MCP in Google ADK

You'll use the `McpToolset` class from the Google ADK library. Point it to the server URL from Vinkius using `StreamableHttpServerParameters`. Then, pass the toolset into your `LlmAgent`'s `tools` list.
Yes. The ADK is designed for this kind of deployment. You can build an agent that uses the `generate_insult` tool and then wrap the whole thing in a Cloud Function to create a scalable, serverless insult API.
It's not about the simple tool, it's about the framework. Using the ADK for `generate_insult` proves your setup works. Then you can add more complex tools that tap into your Google Cloud data without changing your agent's core architecture.
The Google ADK provides logging and tracing capabilities. You can see when the agent decides to call a tool and what the output was. This helps you understand your agent's reasoning process.
It sees practically nothing. The server is stateless and acts only as a pass-through to the public Evil Insult API. The only piece of information it processes is the `language` parameter if you happen to send one. No data from your Google Cloud environment is ever exposed.

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