# How to integrate Supportivekoala MCP with Claude Agent SDK

```json
{
  "title": "How to integrate Supportivekoala MCP with Claude Agent SDK",
  "toolkit": "Supportivekoala",
  "toolkit_slug": "supportivekoala",
  "framework": "Claude Agent SDK",
  "framework_slug": "claude-agents-sdk",
  "url": "https://composio.dev/toolkits/supportivekoala/framework/claude-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/supportivekoala/framework/claude-agents-sdk.md",
  "updated_at": "2026-05-12T10:27:35.620Z"
}
```

## Introduction

This guide walks you through connecting Supportivekoala to the Claude Agent SDK using the Composio tool router. By the end, you'll have a working Supportivekoala agent that can create a personalized welcome image for new users, generate event flyers using your saved template, list all image templates i’ve set up through natural language commands.
This guide will help you understand how to give your Claude Agent SDK agent real control over a Supportivekoala account through Composio's Supportivekoala MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Supportivekoala with

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

## TL;DR

Here's what you'll learn:
- Get and set up your Claude/Anthropic and Composio API keys
- Install the necessary dependencies
- Initialize Composio and create a Tool Router session for Supportivekoala
- Configure an AI agent that can use Supportivekoala as a tool
- Run a live chat session where you can ask the agent to perform Supportivekoala operations

## What is Claude Agent SDK?

The Claude Agent SDK is Anthropic's official framework for building AI agents powered by Claude. It provides a streamlined interface for creating agents with MCP tool support and conversation management.
Key features include:
- Native MCP Support: Built-in support for Model Context Protocol servers
- Permission Modes: Control tool execution permissions
- Streaming Responses: Real-time response streaming for interactive applications
- Context Manager: Clean async context management for sessions

## What is the Supportivekoala MCP server, and what's possible with it?

The Supportivekoala MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Supportivekoala account. It provides structured and secure access to your image generation workflows, so your agent can create images, manage templates, retrieve image lists, and automate visual content creation entirely on your behalf.
- Automated image creation using templates: Instantly generate custom images by selecting and modifying templates with dynamic data, all through your agent.
- Template management and customization: Let your agent create new templates for recurring graphic needs or update existing ones to fit fresh branding and messaging.
- Image and asset retrieval: Effortlessly list all images generated by your account, allowing your agent to fetch, manage, or reference previous visual assets as needed.
- Template discovery and details: Retrieve and review all available templates, or fetch full details for any template using its ID—perfect for scaling up campaigns or personalizing content.
- User registration automation: Seamlessly create new user accounts so your workflows can onboard new teammates or clients without manual intervention.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `SUPPORTIVEKOALA_CREATE_IMAGE` | Create Image | Tool to create a new image based on a template. Use when you have selected your template and prepared modifications. |
| `SUPPORTIVEKOALA_CREATE_TEMPLATE` | Create Template | Tool to create a new template for image generation. Use after gathering template details. |
| `SUPPORTIVEKOALA_LIST_IMAGES` | List Images | Tool to list images associated with the authenticated user. Use after confirming authentication. |
| `SUPPORTIVEKOALA_LIST_TEMPLATES` | List Templates | Tool to retrieve all templates. Use when you need to list all templates for the authenticated user. |
| `SUPPORTIVEKOALA_REGISTER_USER` | Register User | Tool to register a new user account. Use after collecting valid user credentials. |
| `SUPPORTIVEKOALA_RETRIEVE_TEMPLATE` | Retrieve Template by ID | Tool to retrieve a template by ID. Use when you have a valid template ID and need full template details. Use after confirming this detail. |

## Supported Triggers

None listed.

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

The Supportivekoala MCP server is an implementation of the Model Context Protocol that connects your AI agent to Supportivekoala. It provides structured and secure access so your agent can perform Supportivekoala 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:
- Composio API Key and Claude/Anthropic API Key
- Primary know-how of Claude Agents SDK
- A Supportivekoala account
- Some knowledge of Python

### 1. Getting API Keys for Claude/Anthropic and Composio

Claude/Anthropic API Key
- Go to the [Anthropic Console](https://console.anthropic.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models.
- 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

No description provided.
```python
pip install composio-anthropic claude-agent-sdk python-dotenv
```

```typescript
npm install @anthropic-ai/claude-agent-sdk @composio/core 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 identifies the user for session management
- ANTHROPIC_API_KEY authenticates with Anthropic/Claude
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
ANTHROPIC_API_KEY=your_anthropic_api_key_here
```

### 4. Import dependencies

No description provided.
```python
import asyncio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions
import os
from composio import Composio
from dotenv import load_dotenv

load_dotenv()
```

```typescript
import 'dotenv/config';
import readline from 'node:readline';
import { Composio } from '@composio/core';
import { query, type Options } from "@anthropic-ai/claude-agent-sdk";

dotenv.config();
```

### 5. Create a Composio instance and Tool Router session

No description provided.
```python
async def chat_with_remote_mcp():
    api_key = os.getenv("COMPOSIO_API_KEY")
    if not api_key:
        raise RuntimeError("COMPOSIO_API_KEY is not set")

    composio = Composio(api_key=api_key)

    # Create Tool Router session for Supportivekoala
    mcp_server = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["supportivekoala"]
    )

    url = mcp_server.mcp.url

    if not url:
        raise ValueError("Session URL not found")
```

```typescript
async function chat() {
  const { COMPOSIO_API_KEY, USER_ID } = process.env;
  if (!COMPOSIO_API_KEY || !USER_ID) {
    throw new Error('COMPOSIO_API_KEY and USER_ID required in .env');
  }

  const composio = new Composio({ apiKey: COMPOSIO_API_KEY });

  // Create Tool Router session for Supportivekoala
  const session = await composio.create(USER_ID, {
    toolkits: ['supportivekoala'],
  });
  const mcpUrl = session?.mcp.url;
```

### 6. Configure Claude Agent with MCP

No description provided.
```python
# Configure remote MCP server for Claude
options = ClaudeAgentOptions(
    permission_mode="bypassPermissions",
    mcp_servers={
        "composio": {
            "type": "http",
            "url": url,
            "headers": {
                "x-api-key": os.getenv("COMPOSIO_API_KEY")
            }
        }
    },
    system_prompt="You are a helpful assistant with access to Supportivekoala tools via Composio.",
    max_turns=10
)
```

```typescript
const options: Options = {
  permissionMode: 'bypassPermissions',
  mcpServers: {
    composio: {
      type: 'http',
      url: mcpUrl,
      headers: { 'x-api-key': COMPOSIO_API_KEY }
    }
  },
  systemPrompt: 'You are a helpful assistant with access to Supportivekoala tools via Composio.',
  maxTurns: 10,
};
```

### 7. Create client and start chat loop

No description provided.
```python
# Create client with context manager
async with ClaudeSDKClient(options=options) as client:
    print("\nChat started. Type 'exit' or 'quit' to end.\n")

    # Main chat loop
    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit"}:
            print("Goodbye!")
            break

        # Send query
        await client.query(user_input)

        # Receive and print response
        print("Claude: ", end="", flush=True)
        async for message in client.receive_response():
            if hasattr(message, "content"):
                for block in message.content:
                    if hasattr(block, "text"):
                        print(block.text, end="", flush=True)
        print()
```

```typescript
const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: '
  });

  console.log('\nChat started. Type "exit" to quit.\n');

  let isProcessing = false;

  async function ask(prompt: string) {
    isProcessing = true;
    rl.pause();

    process.stdout.write('Claude is thinking...');
    const stream = query({ prompt, options });

    let firstChunk = true;
    for await (const msg of stream) {
      const content = (msg as any).message?.content || (msg as any).content;
      if (Array.isArray(content)) {
        for (const block of content) {
          if (block.type === 'text' && block.text) {
            if (firstChunk) {
              process.stdout.write('\r\x1b[K');
              process.stdout.write('Claude: ');
              firstChunk = false;
            }
            process.stdout.write(block.text);
          }
        }
      }
    }
    process.stdout.write('\n\n');

    isProcessing = false;
    rl.resume();
    rl.prompt();
  }

  rl.on('line', async (line) => {
    if (isProcessing) return;

    const input = line.trim();
    if (input === 'exit') {
      rl.close();
      process.exit(0);
    }
    if (input) await ask(input);
    else rl.prompt();
  });

  await ask('What can you help me with?');
}
```

### 8. Run the application

No description provided.
```python
if __name__ == "__main__":
    asyncio.run(chat_with_remote_mcp())
```

```typescript
try {
  await chat();
} catch (error) {
  console.error(error);
  process.exit(1);
}
```

## Complete Code

```python
import asyncio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions
import os
from composio import Composio
from dotenv import load_dotenv

load_dotenv()

async def chat_with_remote_mcp():
    api_key = os.getenv("COMPOSIO_API_KEY")
    if not api_key:
        raise RuntimeError("COMPOSIO_API_KEY is not set")

    composio = Composio(api_key=api_key)

    # Create Tool Router session for Supportivekoala
    mcp_server = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["supportivekoala"]
    )

    url = mcp_server.mcp.url

    if not url:
        raise ValueError("Session URL not found")

    # Configure remote MCP server for Claude
    options = ClaudeAgentOptions(
        permission_mode="bypassPermissions",
        mcp_servers={
            "composio": {
                "type": "http",
                "url": url,
                "headers": {
                    "x-api-key": os.getenv("COMPOSIO_API_KEY")
                }
            }
        },
        system_prompt="You are a helpful assistant with access to Supportivekoala tools via Composio.",
        max_turns=10
    )

    # Create client with context manager
    async with ClaudeSDKClient(options=options) as client:
        print("\nChat started. Type 'exit' or 'quit' to end.\n")

        # Main chat loop
        while True:
            user_input = input("You: ").strip()
            if user_input.lower() in {"exit", "quit"}:
                print("Goodbye!")
                break

            # Send query
            await client.query(user_input)

            # Receive and print response
            print("Claude: ", end="", flush=True)
            async for message in client.receive_response():
                if hasattr(message, "content"):
                    for block in message.content:
                        if hasattr(block, "text"):
                            print(block.text, end="", flush=True)
            print()

if __name__ == "__main__":
    asyncio.run(chat_with_remote_mcp())
```

```typescript
import 'dotenv/config';
import readline from 'node:readline';
import { Composio } from '@composio/core';
import { query, type Options } from "@anthropic-ai/claude-agent-sdk";

async function chat() {
  const { COMPOSIO_API_KEY, USER_ID } = process.env;
  if (!COMPOSIO_API_KEY || !USER_ID) {
    throw new Error('COMPOSIO_API_KEY and USER_ID required in .env');
  }

  const composio = new Composio({ apiKey: COMPOSIO_API_KEY });
  const session = await composio.create(USER_ID, {
    toolkits: ['supportivekoala']
  });
  const mcp_url = session?.mcp.url;

  const options: Options = {
    permissionMode: 'bypassPermissions',
    mcpServers: {
      composio: {
        type: 'http',
        url: mcp_url,
        headers: { 'x-api-key': COMPOSIO_API_KEY }
      }
    },
    systemPrompt: 'You are a helpful assistant with access to Supportivekoala tools via Composio.',
    maxTurns: 10,
  };

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: '
  });

  console.log('\nChat started. Type "exit" to quit.\n');

  let isProcessing = false;

  async function ask(prompt: string) {
    isProcessing = true;
    rl.pause();

    process.stdout.write('Claude is thinking...');
    const stream = query({ prompt, options });

    let firstChunk = true;
    for await (const msg of stream) {
      const content = (msg as any).message?.content || (msg as any).content;
      if (Array.isArray(content)) {
        for (const block of content) {
          if (block.type === 'text' && block.text) {
            if (firstChunk) {
              process.stdout.write('\r\x1b[K');
              process.stdout.write('Claude: ');
              firstChunk = false;
            }
            process.stdout.write(block.text);
          }
        }
      }
    }
    process.stdout.write('\n\n');

    isProcessing = false;
    rl.resume();
    rl.prompt();
  }

  rl.on('line', async (line) => {
    if (isProcessing) return;

    const input = line.trim();
    if (input === 'exit') {
      rl.close();
      process.exit(0);
    }
    if (input) await ask(input);
    else rl.prompt();
  });

  await ask('What can you help me with?');
}

try {
  await chat();
} catch (error) {
  console.error(error);
  process.exit(1);
}
```

## Conclusion

You've successfully built a Claude Agent SDK agent that can interact with Supportivekoala through Composio's Tool Router.
Key features:
- Native MCP support through Claude's agent framework
- Streaming responses for real-time interaction
- Permission bypass for smooth automated workflows
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

## How to build Supportivekoala MCP Agent with another framework

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

## Related Toolkits

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- [Ahrefs](https://composio.dev/toolkits/ahrefs) - Ahrefs is an SEO and marketing platform for site audits, keyword research, and competitor insights. It helps you improve search rankings and drive organic traffic.
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- [Beamer](https://composio.dev/toolkits/beamer) - Beamer is a news and changelog platform for in-app announcements and feature updates. It helps companies boost user engagement by sharing news where users are most active.
- [Benchmark email](https://composio.dev/toolkits/benchmark_email) - Benchmark Email is a platform for creating, sending, and tracking email campaigns. It's built to help you engage audiences and analyze results—all in one place.
- [Bigmailer](https://composio.dev/toolkits/bigmailer) - BigMailer is an email marketing platform for managing multiple brands with white-labeling and automation. It helps teams streamline campaigns and simplify integration with Amazon SES.
- [Brandfetch](https://composio.dev/toolkits/brandfetch) - Brandfetch is an API that delivers company logos, colors, and visual branding assets. It helps marketers and developers keep brand visuals consistent everywhere.
- [Brevo](https://composio.dev/toolkits/brevo) - Brevo is an all-in-one email and SMS marketing platform for transactional messaging, automation, and CRM. It helps businesses engage customers and streamline communications through powerful campaign tools.
- [Campayn](https://composio.dev/toolkits/campayn) - Campayn is an email marketing platform for creating, sending, and managing campaigns. It helps businesses engage contacts and grow audiences with easy-to-use tools.
- [Cardly](https://composio.dev/toolkits/cardly) - Cardly is a platform for creating and sending personalized direct mail to customers. It helps businesses break through the digital clutter by getting real engagement via physical mailboxes.
- [ClickSend](https://composio.dev/toolkits/clicksend) - ClickSend is a cloud-based SMS and email marketing platform for businesses. It streamlines communication by enabling quick message delivery and contact management.
- [Crustdata](https://composio.dev/toolkits/crustdata) - CrustData is an AI-powered data intelligence platform for real-time company and people data. It helps B2B sales teams, AI SDRs, and investors react to live business signals.
- [Curated](https://composio.dev/toolkits/curated) - Curated is a platform for collecting, curating, and publishing newsletters. It streamlines content aggregation and distribution for creators and teams.
- [Customerio](https://composio.dev/toolkits/customerio) - Customer.io is a customer engagement platform for targeted messaging across email, SMS, and push. Easily automate, segment, and track communications with your audience.
- [Cutt ly](https://composio.dev/toolkits/cutt_ly) - Cutt.ly is a URL shortening service for managing and analyzing links. Streamline your workflows with quick, trackable, and branded short URLs.
- [Demio](https://composio.dev/toolkits/demio) - Demio is webinar software built for marketers, offering both live and automated sessions with interactive features. It helps teams engage audiences and optimize lead generation through detailed analytics.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Supportivekoala MCP?

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

### Can I use Tool Router MCP with Claude Agent SDK?

Yes, you can. Claude Agent SDK 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 Supportivekoala tools.

### Can I manage the permissions and scopes for Supportivekoala while using Tool Router?

Yes, absolutely. You can configure which Supportivekoala 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 Supportivekoala data and credentials are handled as safely as possible.

---
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