# Memelord

```json
{
  "name": "Memelord",
  "slug": "memelord",
  "url": "https://composio.dev/toolkits/memelord",
  "markdown_url": "https://composio.dev/toolkits/memelord.md",
  "logo_url": "https://logos.composio.dev/api/memelord",
  "categories": [
    "entertainment & media"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-10-23T05:33:55.971Z"
}
```

![Memelord logo](https://logos.composio.dev/api/memelord)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Memelord MCP or direct API to generate image memes, edit meme content, render videos, and retrieve hosted results through natural language.

## Summary

Memelord is a meme generation service for creating and editing image and video memes from prompts.
It provides hosted results and asynchronous video rendering for easy sharing and reuse.

## Categories

- entertainment & media

## Toolkit Details

- Tools: 5

## Images

- Logo: https://logos.composio.dev/api/memelord

## Authentication

- **Api Key**
  - Type: `api_key`
  - Description: Api Key authentication for Memelord.
  - Setup:
    - Configure Api Key credentials for Memelord.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- Generate a reaction meme about deadlines
- Create a short video meme from prompt
- Edit a meme with custom caption

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `MEMELORD_EDIT_IMAGE_MEME` | Edit Image Meme | Create a paid edited image-meme render from a prior generation result. Pass its template ID and template data unchanged; the returned URL is temporary. |
| `MEMELORD_EDIT_VIDEO_MEME` | Edit Video Meme | Start a paid asynchronous render that edits a prior video meme's caption and can replace its audio with an overlay, which mutes the base audio. Poll the returned job with Get Video Render Status unless using a webhook. |
| `MEMELORD_GENERATE_IMAGE_MEMES` | Generate Image Memes | Generate 1-10 hosted image memes from a prompt. Each requested meme consumes paid usage, and returned URLs are temporary. |
| `MEMELORD_GENERATE_VIDEO_MEMES` | Generate Video Memes | Start 1-5 paid asynchronous video-meme renders from a prompt and return job IDs. Poll each job with Get Video Render Status unless using a webhook. |
| `MEMELORD_GET_VIDEO_RENDER_STATUS` | Get Video Render Status | Get the current state of one asynchronous video render job and, when completed, its temporary MP4 URL. Performs one status read and does not poll. |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

#### Path 1, Step 1: Install Composio

Install the Composio SDK, the OpenAI provider, and the OpenAI SDK
```python
pip install composio composio_openai openai
```

```typescript
npm install @composio/core @composio/openai openai
```

#### Path 1, Step 2: Create a Composio session

Initialize Composio with the OpenAI Responses provider and create a session scoped to Memelord
```python
import json
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
client = OpenAI()

session = composio.create(user_id="your-user-id", toolkits=["memelord"])
tools = session.tools()
```

```typescript
import OpenAI from "openai";
import { Composio } from "@composio/core";
import { OpenAIResponsesProvider } from "@composio/openai";

const composio = new Composio({ provider: new OpenAIResponsesProvider() });
const client = new OpenAI();

const session = await composio.create("your-user-id", { toolkits: ["memelord"] });
const tools = await session.tools();
```

#### Path 1, Step 3: Run Memelord tools with your agent

Send a request, execute the Memelord tool calls through the session, and print the final answer
```python
response = client.responses.create(
    model="gpt-5.6-sol",
    tools=tools,
    input=[{"role": "user", "content": "Create an image meme about a developer waiting for an asynchronous video render"}],
)

while True:
    tool_calls = [o for o in response.output if o.type == "function_call"]
    if not tool_calls:
        break
    results = composio.provider.handle_tool_calls(response=response, session=session)
    response = client.responses.create(
        model="gpt-5.6-sol",
        tools=tools,
        previous_response_id=response.id,
        input=[
            {"type": "function_call_output", "call_id": call.call_id, "output": json.dumps(results[i])}
            for i, call in enumerate(tool_calls)
        ],
    )

print(response.output_text)
```

```typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "Create an image meme about a developer waiting for an asynchronous video render" }],
});

while (response.output.some((o) => o.type === "function_call")) {
  const outputs = await composio.provider.handleToolCalls(session, response.output);
  response = await client.responses.create({
    model: "gpt-5.6-sol",
    tools,
    previous_response_id: response.id,
    input: outputs,
  });
}

console.log(response.output_text);
```

### Path 2: MCP Server Setup

#### Path 2, Step 1: Install Composio

Install the Composio SDK and your agent framework
```python
pip install composio claude-agent-sdk
```

```typescript
npm install @composio/core ai @ai-sdk/mcp @ai-sdk/openai
```

#### Path 2, Step 2: Create a session with MCP enabled

Create a session scoped to Memelord and read its MCP URL and headers
```python
from composio import Composio

composio = Composio()
session = composio.create(user_id="your-user-id", toolkits=["memelord"], mcp=True)
```

```typescript
import { Composio } from "@composio/core";

const composio = new Composio();
const { mcp } = await composio.create("your-user-id", {
  toolkits: ["memelord"],
  mcp: true,
});
```

#### Path 2, Step 3: Connect your agent to the MCP server

Pass the session's MCP URL and headers to your agent and run a Memelord request
```python
import asyncio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions, AssistantMessage, TextBlock

options = ClaudeAgentOptions(
    mcp_servers={
        "composio": {
            "type": "http",
            "url": session.mcp.url,
            "headers": session.mcp.headers,
        }
    },
    system_prompt="You are a helpful assistant with access to Memelord tools.",
    tools=[],
    allowed_tools=["mcp__composio__*"],
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query("Create an image meme about a developer waiting for an asynchronous video render")
        async for message in client.receive_response():
            if isinstance(message, AssistantMessage):
                for block in message.content:
                    if isinstance(block, TextBlock):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { openai } from "@ai-sdk/openai";
import { generateText, stepCountIs } from "ai";

const client = await createMCPClient({
  transport: { type: "http", url: mcp.url, headers: mcp.headers },
});

const { text } = await generateText({
  model: openai("gpt-5.6-sol"),
  tools: await client.tools(),
  prompt: "Create an image meme about a developer waiting for an asynchronous video render",
  stopWhen: stepCountIs(10),
});

console.log(text);
await client.close();
```

## Why Use Composio?

### 1. AI Native Memelord Integration

- Supports both Memelord MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable meme generation and editing
- Rich coverage for creating image memes, rendering videos, and retrieving hosted results

### 2. Managed Auth

- Securely store and manage the API keys Memelord uses for authentication
- Central place to scope, rotate, and revoke Memelord access
- Per user and per environment credentials instead of hard-coded keys

### 3. Agent Optimized Design

- Tools are tuned using real error and success rates to improve reliability over time
- Asynchronous video rendering fits naturally into agent workflows that track hosted results
- Comprehensive execution logs so you always know what ran, when, and on whose behalf

### 4. Enterprise Grade Security

- Fine-grained RBAC so you control which agents and users can access Memelord
- Scoped, least privilege access to Memelord generation and editing tools
- Full audit trail of agent actions to support review and compliance

## Use Memelord with any AI Agent Framework

Choose a framework you want to connect Memelord with:

- [ChatGPT](https://composio.dev/toolkits/memelord/framework/chatgpt)
- [Claude Cowork](https://composio.dev/toolkits/memelord/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/memelord/framework/hermes-agent)
- [Atomic Agent](https://composio.dev/toolkits/memelord/framework/atomic-agent)

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- [Memelord MCP](https://composio.dev/toolkits/memelord_mcp) - Memelord MCP is a hosted meme creation service for searching templates and working with image and video memes. It provides one MCP connection for discovery, generation, editing, uploads, and Jester.
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## Frequently Asked Questions

### Do I need my own developer credentials to use Memelord with Composio?

Yes, Memelord requires you to configure your own API key. Once set up, Composio handles secure credential storage and API request handling.

### Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. [Learn more](https://docs.composio.dev/tool-router/overview).

### Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. [Learn more](https://trust.composio.dev).

### What if the API changes?

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)