Slazzer MCP for AI Agents

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Slazzer MCP or direct API to remove image backgrounds, enhance product photos, relight portraits, and process catalog images through natural language.

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Api Key

Slazzer is an AI image editing API for background removal, enhancement, relighting, generation, and catalog image processing. Use it to automate clean, studio-ready visuals for ecommerce, design, and marketing workflows.

9 Tools

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Type what you want done — sign in and watch it run live in the Tool Router playground.

TOOL ROUTER PLAYGROUND
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TOOLS

Supported Tools

Every Slazzer action and event your agent gets out of the box.

Colorize Old Photo

Colorize and restore a black-and-white photo and return the result as a downloadable image.

Create Catalog Image

Create a catalog-ready grocery, food, or furniture image using the matching Slazzer scene model.

Edit Automobile Image

Remove or replace an automobile background, optionally add a shadow or overlay or segment its number plate, and return the processed image, mask, or ZIP.

Enhance Image Colors

Improve an image's color, contrast, vibrancy, and visual quality and return the result as a downloadable image.

Generate Image Shadow

Apply an AI-generated studio shadow to a PNG or JPEG product image and return the result as a downloadable file.

Relight Image

Relight a PNG or JPEG image with a selected brightness multiplier and return the result as a downloadable image.

Remove Image Background

Remove an image background, optionally replace it, and return the processed image or alpha mask as a downloadable file.

Replace Sky

Replace an image's sky or background with another image or a solid color and return the processed file.

Upscale Image

Upscale a PNG or JPEG image by 2x or 4x and return the result as a downloadable file.

SETUP GUIDE

Connect Slazzer MCP Tool with your Agent

1

Install Composio

typescript
npm install @composio/core ai @ai-sdk/mcp @ai-sdk/openai
Install the Composio SDK and your agent framework
2

Create a session with MCP enabled

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

const composio = new Composio();
const { mcp } = await composio.create("your-user-id", {
  toolkits: ["slazzer"],
  mcp: true,
});
Create a session scoped to Slazzer and read its MCP URL and headers
3

Connect your agent to the MCP server

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: "Remove the background from the product image at https://example.com/shoe.jpg and return the processed image URL",
  stopWhen: stepCountIs(10),
});

console.log(text);
await client.close();
Pass the session's MCP URL and headers to your agent and run a Slazzer request
SETUP GUIDE

Connect Slazzer API Tool with your Agent

1

Install Composio

typescript
npm install @composio/core @composio/openai openai
Install the Composio SDK, the OpenAI provider, and the OpenAI SDK
2

Create a Composio session

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: ["slazzer"] });
const tools = await session.tools();
Initialize Composio with the OpenAI Responses provider and create a session scoped to Slazzer
3

Run Slazzer tools with your agent

typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "Remove the background from the product image at https://example.com/shoe.jpg and return the processed image URL" }],
});

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);
Send a request, execute the Slazzer tool calls through the session, and print the final answer

Why Use Composio?

AI Native Slazzer Integration

  • Supports both Slazzer MCP and direct API based integrations
  • Structured, LLM-friendly schemas for reliable image editing tool execution
  • Rich coverage for background removal, enhancement, relighting, generation, and catalog processing

Managed Auth

  • Bring your Slazzer API key and connect it with auth_configs.create() and connected_accounts.link()
  • Composio stores credentials securely so you don't hard-code keys in agent code
  • Manage Slazzer access per user, per project, and per environment from one place

Agent Optimized Design

  • Slazzer tools are shaped so agents can pick the right image action without custom glue code
  • Tools are tuned using real error and success rates to improve reliability over time
  • Comprehensive execution logs so you always know which image was processed, when, and on whose behalf

Enterprise Grade Security

  • Fine-grained RBAC so you control which agents and users can access Slazzer
  • Scoped, least privilege access to Slazzer image processing actions
  • Full audit trail of agent actions to support review and compliance
FAQ

Frequently asked questions

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

Yes! Composio's Tool Router enables agents to use multiple toolkits. Learn more.

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. Learn more.

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

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