# How to integrate Html to image MCP with CrewAI

```json
{
  "title": "How to integrate Html to image MCP with CrewAI",
  "toolkit": "Html to image",
  "toolkit_slug": "html_to_image",
  "framework": "CrewAI",
  "framework_slug": "crew-ai",
  "url": "https://composio.dev/toolkits/html_to_image/framework/crew-ai",
  "markdown_url": "https://composio.dev/toolkits/html_to_image/framework/crew-ai.md",
  "updated_at": "2026-05-12T10:15:10.776Z"
}
```

## Introduction

This guide walks you through connecting Html to image to CrewAI using the Composio tool router. By the end, you'll have a working Html to image agent that can convert your newsletter html into a png, capture screenshot of this web page url, check how many images i converted today through natural language commands.
This guide will help you understand how to give your CrewAI agent real control over a Html to image account through Composio's Html to image MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Html to image with

- [OpenAI Agents SDK](https://composio.dev/toolkits/html_to_image/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/html_to_image/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/html_to_image/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/html_to_image/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/html_to_image/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/html_to_image/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/html_to_image/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/html_to_image/framework/cli)
- [Google ADK](https://composio.dev/toolkits/html_to_image/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/html_to_image/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/html_to_image/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/html_to_image/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/html_to_image/framework/llama-index)

## TL;DR

Here's what you'll learn:
- Get a Composio API key and configure your Html to image connection
- Set up CrewAI with an MCP enabled agent
- Create a Tool Router session or standalone MCP server for Html to image
- Build a conversational loop where your agent can execute Html to image operations

## What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.
Key features include:
- Agent Roles: Define specialized agents with specific goals and backstories
- Task Management: Create tasks with clear descriptions and expected outputs
- Crew Orchestration: Combine agents and tasks into collaborative workflows
- MCP Integration: Connect to external tools through Model Context Protocol

## What is the Html to image MCP server, and what's possible with it?

The Html to image MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Html to image account. It provides structured and secure access to HTML-to-image conversion, so your agent can generate images from HTML, retrieve and manage created images, and monitor account usage automatically on your behalf.
- Instant HTML to image conversion: Your agent can convert any HTML and CSS content into high-quality images with a single request, perfect for generating banners, previews, or snapshots.
- Fetch and manage generated images: Retrieve previously created images by ID, download assets, or even request specific image modifications like resizing.
- Monitor account usage and limits: Let your agent check your hourly, daily, or monthly image generation stats, so you always know your current usage and billing situation.
- Automated asset workflows: Seamlessly integrate HTML-to-image generation into larger automation pipelines, allowing your agent to create visuals on demand and leverage them across other tools.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `HTML_TO_IMAGE_HTML_TO_IMAGE_CHECK_USAGE` | Check HTML-to-Image Account Usage | Attempts to retrieve account usage statistics from the HTML-to-Image API by trying multiple common endpoint patterns. NOTE: The html2img.com API does not officially document a dedicated usage statistics endpoint. This action tries several plausible endpoint paths and returns empty usage data if none are found (when return_defaults_on_error=true). For actual usage tracking with html2img.com, monitor the 'credits_remaining' field returned in responses from the convert or screenshot endpoints. Returns hourly, daily, and monthly image creation counts if a usage endpoint exists, or empty statistics as a fallback. |
| `HTML_TO_IMAGE_HTML_TO_IMAGE_CONVERT_TO_IMAGE` | Convert HTML to Image | Tool to convert HTML content into an image. Returns either a downloadable file or a JSON payload containing id and url, depending on the upstream API behavior. |
| `HTML_TO_IMAGE_GET_IMAGE` | Get HTML to Image | Retrieve a previously generated image by its URL. Use this to fetch, resize, or download an existing HTML-to-image asset. The image URL is typically obtained from the 'url' field of the HTML_TO_IMAGE_CONVERT_TO_IMAGE response. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Html to image MCP server is an implementation of the Model Context Protocol that connects your AI agent to Html to image. It provides structured and secure access so your agent can perform Html to image operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

Before starting, make sure you have:
- Python 3.9 or higher
- A Composio account and API key
- A Html to image connection authorized in Composio
- An OpenAI API key for the CrewAI LLM
- Basic familiarity with Python

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider.
- Keep the API key safe.
Composio API Key
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

**What's happening:**
- composio connects your agent to Html to image via MCP
- crewai provides Agent, Task, Crew, and LLM primitives
- crewai-tools[mcp] includes MCP helpers
- python-dotenv loads environment variables from .env
```bash
pip install composio crewai crewai-tools[mcp] python-dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates with Composio
- USER_ID scopes the session to your account
- OPENAI_API_KEY lets CrewAI use your chosen OpenAI model
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

**What's happening:**
- CrewAI classes define agents and tasks, and run the workflow
- MCPServerHTTP connects the agent to an MCP endpoint
- Composio will give you a short lived Html to image MCP URL
```python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")
```

### 5. Create a Composio Tool Router session for Html to image

**What's happening:**
- You create a Html to image only session through Composio
- Composio returns an MCP HTTP URL that exposes Html to image tools
```python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["html_to_image"])

url = session.mcp.url
```

### 6. Initialize the MCP Server

**What's Happening:**
- Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
- MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
- Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
- Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
- Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.
```python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
```

### 7. Create a CLI Chatloop and define the Crew

**What's Happening:**
- Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
- Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
- Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
- Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
- Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
- Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.
```python
print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
```

## Complete Code

```python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["html_to_image"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

    while True:
        user_input = input("You: ").strip()

        if user_input.lower() in ["exit", "quit", "bye"]:
            print("\nGoodbye!")
            break

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")
```

## Conclusion

You now have a CrewAI agent connected to Html to image through Composio's Tool Router. The agent can perform Html to image operations through natural language commands.
Next steps:
- Add role-specific instructions to customize agent behavior
- Plug in more toolkits for multi-app workflows
- Chain tasks for complex multi-step operations

## How to build Html to image MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/html_to_image/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/html_to_image/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/html_to_image/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/html_to_image/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/html_to_image/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/html_to_image/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/html_to_image/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/html_to_image/framework/cli)
- [Google ADK](https://composio.dev/toolkits/html_to_image/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/html_to_image/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/html_to_image/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/html_to_image/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/html_to_image/framework/llama-index)

## Related Toolkits

- [Figma](https://composio.dev/toolkits/figma) - Figma is a collaborative interface design tool for teams and individuals. It streamlines design workflows with real-time collaboration and easy sharing.
- [Abyssale](https://composio.dev/toolkits/abyssale) - Abyssale is a creative automation platform for generating images, videos, GIFs, PDFs, and HTML5 content programmatically. It streamlines and scales visual content production for marketing, design, and operations teams.
- [Alttext ai](https://composio.dev/toolkits/alttext_ai) - AltText.ai is a service that generates alt text for images automatically. It helps boost accessibility and SEO for your visual content.
- [Bannerbear](https://composio.dev/toolkits/bannerbear) - Bannerbear is an API-driven platform for generating images and videos automatically at scale. It helps businesses create custom graphics, social visuals, and marketing assets using powerful templates.
- [Canva](https://composio.dev/toolkits/canva) - Canva is a drag-and-drop design suite for creating professional graphics, presentations, and marketing materials. It makes it easy for anyone to design with beautiful templates and a vast library of elements.
- [Claid ai](https://composio.dev/toolkits/claid_ai) - Claid.ai delivers AI-driven image editing APIs for tasks like background removal, upscaling, and color correction. It helps automate and enhance image workflows with powerful, developer-friendly tools.
- [Cloudinary](https://composio.dev/toolkits/cloudinary) - Cloudinary is a cloud-based platform for managing, uploading, and transforming images and videos. It streamlines media workflows and delivers optimized assets globally.
- [Cults](https://composio.dev/toolkits/cults) - Cults is a digital marketplace for 3D printing models, connecting designers and makers. It lets creators share, sell, and discover a huge variety of printable designs easily.
- [DeepImage](https://composio.dev/toolkits/deepimage) - DeepImage is an AI-powered image enhancer and upscaler. Get higher-quality images with just a few clicks.
- [Dreamstudio](https://composio.dev/toolkits/dreamstudio) - DreamStudio is Stability AI’s platform for generating and editing images with AI. It lets you easily turn ideas into stunning visuals, fast.
- [Dynapictures](https://composio.dev/toolkits/dynapictures) - Dynapictures is a cloud-based platform for generating personalized images at scale. Instantly create hundreds of custom visuals using your data sources, like Google Sheets.
- [Fal.ai](https://composio.dev/toolkits/fal_ai) - Fal.ai is a generative media platform offering 600+ AI models for images, video, voice, and audio. Developers use Fal.ai for fast, scalable access to cutting-edge generative AI tools.
- [Gamma](https://composio.dev/toolkits/gamma) - Gamma is an AI-powered platform for making beautiful, interactive presentations and documents. It lets anyone create and share engaging decks with minimal effort.
- [Imagior](https://composio.dev/toolkits/imagior) - Imagior is an AI-powered image generation platform that lets you create and customize images using dynamic templates and APIs. Perfect for businesses and creators needing fast, scalable visuals without design hassle.
- [Imejis io](https://composio.dev/toolkits/imejis_io) - Imejis io is an API-based image generation platform with powerful customization and template support. It lets you create and modify images in seconds, no manual design work required.
- [Imgix](https://composio.dev/toolkits/imgix) - Imgix is a real-time image processing and delivery service for developers. It helps you optimize, transform, and deliver images efficiently at any scale.
- [Kraken io](https://composio.dev/toolkits/kraken_io) - Kraken.io is an image optimization and compression platform. It helps you shrink image file sizes while keeping visual quality intact.
- [Logo dev](https://composio.dev/toolkits/logo_dev) - Logo.dev is an API and database for high-resolution company logos and brand metadata. Instantly fetch official logos from any domain without scraping or manual searching.
- [Miro](https://composio.dev/toolkits/miro) - Miro is a collaborative online whiteboard platform for teams to brainstorm, design, and manage projects visually. It streamlines teamwork by enabling real-time idea sharing, diagramming, and workflow planning in a single space.
- [Mural](https://composio.dev/toolkits/mural) - Mural is a digital whiteboard platform for distributed visual collaboration. It helps teams brainstorm, map ideas, and diagram together in real time.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Html to image MCP?

With a standalone Html to image MCP server, the agents and LLMs can only access a fixed set of Html to image tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Html to image and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with CrewAI?

Yes, you can. CrewAI fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Html to image tools.

### Can I manage the permissions and scopes for Html to image while using Tool Router?

Yes, absolutely. You can configure which Html to image scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Html to image data and credentials are handled as safely as possible.

---
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