Evil Insult MCP for AI. Generate sharp comebacks instantly.

Q: How do I use generateinsult in my agent?

You simply call the generateinsult tool within your prompts. You can optionally pass a language code to ensure the output matches your test environment.

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Connect to your AI in seconds.

Evil Insult gives your AI client instant, randomized insults in multiple languages. Use it to generate placeholder text for QA testing, write snappy NPC dialogue, or inject pure randomness into any creative project.

It's a quick way to get sharp comebacks across English, Spanish, French, and more.

What your AI can do

Generate insult

Generates an evil insult; you can optionally specify the language code for the desired output.

Generate random insults

Instantly retrieves a unique, randomized insult string.

Support multiple languages

Fetches insults in several languages, including English, Spanish, French, and German.

Create humorous placeholder content

Provides randomized text suitable for testing data fields or development mockups.

Ask an AI about this

Included with Plan

Waiting for input…

AI Agent

Evil Insult: 1 Tool

This MCP lets you pull randomized and structured comedic text using the available tool.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using Evil Insult on Vinkius

Generate Insult

Generates an evil insult; you can optionally specify the language code for the desired output.

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Claude AI

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

Start a conversation

Open a new chat. The Evil Insult integration is available immediately — no restart needed.

Antigravity

Configure Agent Environment

Open your Antigravity agent's workspace configuration or mcp-servers.json file.

Bind the Endpoint

Add the Vinkius endpoint URL to your agent's MCP connections list:

"mcp_servers": {
  "evil-insult": {
    "serverUrl": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
  }
}

Provide your secure token in place of [YOUR_TOKEN_HERE] to ensure your agent requests are authenticated.

Execute

Start your Antigravity session. The agent will autonomously discover and utilize the Evil Insult tools with full Vinkius guardrails applied.

VS Code Copilot

⚡

One-Click Install (Recommended)

In your Vinkius Dashboard, simply click the Add to VS Code button for this server. We'll automatically configure your local workspace.

Or configure manually

Open MCP Settings

Open VS Code, press Ctrl/Cmd + Shift + P, and search for GitHub Copilot: MCP Servers.

Add Server Config

Add the Vinkius endpoint configuration to your mcp-servers.json file:

"evil-insult": {
  "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}

Ensure you replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

LangChain

Install Dependencies

Install the LangChain MCP adapters for your environment:

pip install langchain-mcp-adapters

Connect the Server

Use the SSEClient in LangChain to connect to the Vinkius managed endpoint:

from langchain_mcp_adapters.client import SSEClient

# Connect to Vinkius
client = SSEClient(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
tools = client.get_tools()

CrewAI

Define the Tool

Load the Vinkius MCP tools into your CrewAI agents:

from crewai import Agent
from mcp_crewai import MCPTool

# Connect securely to Vinkius
vinkius_tools = MCPTool(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

# Assign to Agent
researcher = Agent(
    role='Data Researcher',
    tools=vinkius_tools.get_all()
)

Execute Task

Run your CrewAI process. The agent will autonomously route tasks to the Vinkius managed server.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

Import from OpenAPI, Swagger, or YAML specs
Create Agent Skills with progressive disclosure
Deploy to edge with MCPFusion framework
Built in DLP, auth, and compliance on every call
Real time usage dashboard and cost metering
Publish to catalog or keep private

Start building

Make Your AI Do More

Start with Evil Insult, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.

Use this MCP plus 5,100+ others, all in one place
Add new capabilities to your AI anytime you want
Every connection is secured and compliant automatically
Track usage and costs across all your servers
Works with Claude, ChatGPT, Cursor, and more
New servers added to the catalog every week

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.

VINKIUS INFRASTRUCTURE

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Managed infra

V8 Isolated

Sandboxed per request

Zero-Trust Proxy

No stored credentials

DLP Enforced

Policy on every call

GDPR Compliant

EU data residency

Token Compression

~60% cost reduction

Your data is protected. See how we built it.

Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This connection provides 1 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.

Writing filler dialogue feels like a constant battle.

Right now, if you’re building out character dialogues or testing UI mockups, you spend time copying, pasting, and slightly modifying the same generic 'placeholder' text. You jump between spreadsheets and code editors just to find varied enough filler that doesn't sound like a template.

With this MCP, your agent handles it. You tell it what kind of humor or language you need, and it delivers a fully formed, randomized insult instantly. Your workflow shifts from 'where do I get text?' to 'what should the character say next?'

Get multilingual insults using generate_insult.

You no longer have to manually manage language variations for your mockups. Instead of copying a Spanish placeholder and hoping it doesn't break the English context, you simply use `generate_insult` and specify 'es'.

It’s simple: one command gives you diverse, localized, and genuinely funny content. You spend zero time worrying about localization keys or finding enough filler—you just get the roast.

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What your AI can actually do with this

Need to add some comedic chaos to your application logic? This MCP connects directly to an insult generator, letting your agent pull randomized insults right when it needs them. You can fetch unique roasts in many languages—English, Spanish, French, German, and several others. It’s perfect for testing character dialogue or just filling a void where you need instant, sharp humor.

Setting this up is straightforward; you connect your preferred agent through Vinkius's catalog, and it works instantly. You simply ask the agent to generate an insult, and it handles the rest. No complex API keys are needed for basic access. It’s a tool designed purely for injecting unexpected fun into workflows.

Built · Hosted · Managed by Vinkius Evil Insult - Generate Random Insults for AI

Server ID 019e5d17-c86c-7233-9331-6d40cfa795c6

Vinkius Inspector

Compliance Grade A+

Score 100/100

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Here's how it actually works

The bottom line is, instead of hardcoding filler text or using generic placeholders, you get a genuinely random and context-aware comeback.

Subscribe to this MCP in your Vinkius client.

Direct your agent to use the generate_insult tool.

The system returns a randomized insult string, optionally based on the language you request.

What Changes When You Connect

Stop writing repetitive placeholder text. Use this MCP to pull unique, randomized insults directly into your code or scripts.

Testing internationalization? Get instant support for multiple languages (Spanish, French, German, etc.) without managing separate API keys.

It adds a layer of unpredictable humor to testing environments. Need filler dialogue? This tool handles it instantly.

No more building custom random text generators. The generate_insult tool gives you proven, structured comedic content.

You can use the language parameter in generate_insult to ensure your test data matches the target locale.

See it in action

01 01

Testing multilingual user profiles

A QA engineer needs to verify that a new sign-up screen handles text from various languages. Instead of manually inputting placeholder strings, they ask their agent to run generate_insult with the language code 'es' (Spanish), guaranteeing realistic test data.

02 02

Developing NPC dialogue for a game

The game designer is building a combat encounter where defeated enemies should taunt the player. They instruct their agent to repeatedly call generate_insult without specifying a language, getting a constant stream of varied insults to populate the database.

03 03

Debugging chat bots with filler responses

A developer is testing a chatbot’s graceful failure state. Rather than having it default to 'Error,' they prompt the agent using generate_insult to make the bot respond with a random, humorous comeback, making the failure feel intentional.

04 04

Creating randomized content for mockups

A marketing team needs sample text for a landing page mockup that feels unique. They use the MCP's capability to generate insults, selecting 'fr' (French) via generate_insult, and paste the result directly into their design tool.

The honest tradeoffs

Using generic placeholder text

Anti-pattern

The dev manually pastes 'Lorem ipsum dolor sit amet...' across all fields, which doesn't help test language-specific length or character sets.

The Fix

Use the generate_insult tool. Specify a language code and let your agent populate the fields with actual localized content instead.

Writing complex random generators

Anti-pattern

The team spends time building an internal script just to pull funny, varied text that works in multiple languages.

The Fix

Connect this MCP. The generate_insult tool handles the complexity of multilingual generation for you.

Forgetting language specificity

Anti-pattern

The agent generates an insult but defaults to English, even though the feature being tested is Spanish only.

The Fix

Always specify the desired language code when calling generate_insult. That keeps your test data clean and accurate.

Questions you might have

How do I use generate_insult in my agent? +

You simply call the generate_insult tool within your prompts. You can optionally pass a language code to ensure the output matches your test environment.

Is the insult generation multilingual? +

Yes, it supports multiple languages beyond English. Just provide the appropriate ISO language code when calling generate_insult.

What if I don't specify a language for generate_insult? +

If you leave the language parameter blank, the tool will default to generating an insult in English. You still have to manually add 'English' as a requirement.

Does this MCP provide actual human dialogue? +

It provides randomized insults generated by an API, not real human conversation. It’s great for structured filler and comedy testing, though.

When calling generate_insult, are there any special credentials or API keys needed? +

No complex API keys are required for basic usage. Vinkius handles the connection details; you simply invoke the function from your AI client to start generating insults.

If generate_insult fails, how can I handle or recover from the error? +

The system returns a clear error message detailing the failure reason. You should wrap your execution in standard try/catch logic to manage unexpected results gracefully within your agent.

Are there rate limits if I run multiple calls to generate_insult quickly? +

While Vinkius manages overall capacity, we recommend checking the platform's current usage guidelines. For high-volume testing or batch tasks, consider queuing your requests.

Does the output from generate_insult come in a structured data format? +

The primary result is clean, randomized text. Although it doesn't force JSON output, your agent can easily parse this resulting string into usable variables for subsequent steps.

Can I choose the language of the insult? +

Yes! Use the generate_insult tool and provide a language code like 'en', 'es', 'fr', 'ru', or 'de' in the lang parameter.

Where do these insults come from? +

All insults are fetched in real-time from the official Evil Insult Generator API.

Is there a limit to how many insults I can generate? +

The tool generates one insult per request. You can call the generate_insult tool as many times as you need to get fresh results.

Connect to your AI in seconds.

Generate insult

Evil Insult: 1 Tool

Make your AI actually useful.

Generate Insult

Security and governance baked right in.

Claude AI

Open Claude Settings

Add Custom Connector

Start a conversation

Claude Code

Open your terminal

Add the MCP Server

Start coding

Cursor

One-Click Install (Recommended)

Open Cursor Settings

Add New Server

Use in Composer

Antigravity

Configure Agent Environment

Bind the Endpoint

Execute

VS Code Copilot

One-Click Install (Recommended)

Open MCP Settings

Add Server Config

Windsurf

One-Click Install (Recommended)

Open Windsurf Settings

Add Server Endpoint

LangChain

Install Dependencies

Connect the Server

CrewAI

Define the Tool

Execute Task

Choose How to Get Started

Build Your Own

Make Your AI Do More

Works with Claude, ChatGPT, Cursor, and more

Writing filler dialogue feels like a constant battle.

Get multilingual insults using generate_insult.

What your AI can actually do with this

Here's how it actually works

Who is this actually for?

What Changes When You Connect

See it in action

Testing multilingual user profiles

Developing NPC dialogue for a game

Debugging chat bots with filler responses

Creating randomized content for mockups

The honest tradeoffs

Using generic placeholder text

Writing complex random generators

Forgetting language specificity

When It Fits, When It Doesn't

Questions you might have