How to Use the Evil Insult MCP in Pydantic AI

Q: How do I add the Evil Insult MCP Server to a Pydantic AI agent?

Install the required package: pip install "pydantic-ai-slimmcp". Then, create an MCPToolset instance with your server URL and pass it to your agent's toolsets parameter. The generateinsult tool will be ready to use.

Q: What happens if the Evil Insult API goes down when I'm using Pydantic AI?

Your call to the generateinsult tool will fail. Pydantic AI doesn't hide errors. You'll get an exception that you can catch and handle, for instance, by falling back to a default, less-evil insult.

Q: Can I call the Evil Insult tool from an async Pydantic AI agent?

Yes. Pydantic AI supports async operations. You can call generateinsult from within an async function without blocking the rest of your application, which is essential for responsive agents.

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Create your Vinkius account to connect Evil Insult to Pydantic AI 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 Evil Insult with Pydantic AI

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Get Your Insults Type-Checked

This server's `generate_insult` tool returns a string. With Pydantic AI, you're not just hoping it's a string—you're guaranteeing it. Your agent will validate the response against a Pydantic model at runtime. If the external API ever changes and sends back an object or null, your agent will raise a `ValidationError`. This is a feature. It prevents corrupted data from getting into your application and forces you to deal with API changes explicitly.

Use Any Model You Want

Pydantic AI is model-agnostic. You can build your agent to use the `generate_insult` tool and then switch the backend LLM from OpenAI to Gemini to a local model without rewriting your tool logic. Your code for connecting to this MCP Server remains the same. This lets you benchmark different models or choose the most cost-effective one for your task, which in this case is deciding when to be insulting.

A Simple, Unified Toolset

Connecting to this server is straightforward. You use the `MCPToolset` class and give it the server URL. That's it. Pydantic AI handles fetching the tool definition for `generate_insult` and making it available to your agent. The setup is clean and simple. You pass your list of toolsets to the agent, and it knows how to call them, validate their outputs, and handle errors when the validation fails.

Setup guide

Set up Evil Insult MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "evil-insult-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Evil Insult tools.",
)

result = await agent.run("List recent Evil Insult transactions")
print(result.output)

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Common questions about Evil Insult MCP in Pydantic AI

Install the required package: `pip install "pydantic-ai-slim[mcp]"`. Then, create an `MCPToolset` instance with your server URL and pass it to your agent's `toolsets` parameter. The `generate_insult` tool will be ready to use.

Your call to the `generate_insult` tool will fail. Pydantic AI doesn't hide errors. You'll get an exception that you can catch and handle, for instance, by falling back to a default, less-evil insult.

Not if you care about building reliable software. It establishes a pattern of correctness. If you build even your joke tools with type safety, you'll build your critical tools the same way, and your applications will be far more stable.

Yes. Pydantic AI supports async operations. You can call `generate_insult` from within an async function without blocking the rest of your application, which is essential for responsive agents.

Only the final output. The server fetches a plain text insult, and Pydantic AI's job is to confirm that the data it receives is a valid string, as expected. It's a data integrity check on the response itself; no user or request data is stored or validated.

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