# How to integrate Googlephotos MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Googlephotos MCP with OpenAI Agents SDK",
  "toolkit": "Googlephotos",
  "toolkit_slug": "googlephotos",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/googlephotos/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/googlephotos/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:14:01.025Z"
}
```

## Introduction

This guide walks you through connecting Googlephotos to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Googlephotos agent that can find all photos from your last vacation, create a new album for 2024 events, upload these images to your family album through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Googlephotos account through Composio's Googlephotos MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Googlephotos with

- [ChatGPT](https://composio.dev/toolkits/googlephotos/framework/chatgpt)
- [Claude Agent SDK](https://composio.dev/toolkits/googlephotos/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/googlephotos/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/googlephotos/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/googlephotos/framework/codex)
- [Cursor](https://composio.dev/toolkits/googlephotos/framework/cursor)
- [VS Code](https://composio.dev/toolkits/googlephotos/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/googlephotos/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/googlephotos/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/googlephotos/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/googlephotos/framework/cli)
- [Google ADK](https://composio.dev/toolkits/googlephotos/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/googlephotos/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/googlephotos/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/googlephotos/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/googlephotos/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/googlephotos/framework/crew-ai)

## TL;DR

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

## What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.
Key features include:
- Hosted MCP Tools: Connect to external services through hosted MCP endpoints
- SQLite Sessions: Persist conversation history across interactions
- Simple API: Clean interface with Agent, Runner, and tool configuration
- Streaming Support: Real-time response streaming for interactive applications

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

The Googlephotos MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Google Photos account. It provides structured and secure access to your photo library, so your agent can organize albums, upload and manage media items, search your photos, and even download images on your behalf.
- Effortless media uploads and organization: Instantly upload new photos or videos, add them to existing albums, and create new albums for specific events or trips—all through your AI agent.
- Smart album and library management: List all your albums or fetch details for any album, making it simple for the agent to help you organize or locate collections of photos.
- AI-powered photo search: Ask your agent to search your photo library using keywords, dates, or other criteria to quickly find specific images or memories.
- Bulk media handling: Retrieve batches of photos or videos, add multiple media items to albums at once, or download images as files for sharing or backup.
- Enhanced photo enrichment: Automatically enhance your albums by adding context, locations, or notes at specific positions—helping you curate richer stories from your memories.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `GOOGLEPHOTOS_ADD_ENRICHMENT` | Add Enrichment | Adds an enrichment at a specified position in a defined album. |
| `GOOGLEPHOTOS_BATCH_ADD_MEDIA_ITEMS` | Batch Add Media Items | Adds one or more media items to an album in Google Photos. |
| `GOOGLEPHOTOS_BATCH_CREATE_MEDIA_ITEMS` | Batch Create Media Items | Batch upload and create media items in Google Photos. Supports three input methods: 1. 'urls': Simple list of public URLs (file names extracted automatically) 2. 'media_files': List of objects with url/file, file_name, and description 3. 'files': List of FileUploadable objects for pre-uploaded files Media items can optionally be added to an album at a specific position. Maximum 50 items per request. |
| `GOOGLEPHOTOS_BATCH_GET_MEDIA_ITEMS` | Batch Get Media Items | Returns the list of media items for the specified media item identifiers. |
| `GOOGLEPHOTOS_CREATE_ALBUM` | Create Album | Creates a new album in Google Photos. |
| `GOOGLEPHOTOS_GET_ALBUM` | Get Album | Returns the album based on the specified albumId. |
| `GOOGLEPHOTOS_GET_MEDIA_ITEM_DOWNLOAD` | Download Photos Media Item | Downloads a media item from Google Photos and returns it as a file. |
| `GOOGLEPHOTOS_LIST_ALBUMS` | List Albums | Lists all albums shown to a user in the Albums tab of Google Photos. |
| `GOOGLEPHOTOS_LIST_MEDIA_ITEMS` | List Media Items (App-Created Only) | Lists media items created by this application from Google Photos. DEPRECATION NOTICE: As of March 31, 2025, the Google Photos Library API ONLY returns media items that were uploaded/created by your application. This action CANNOT access the user's full photo library. Use cases this action SUPPORTS: - Listing photos/videos your app previously uploaded to the user's library - Managing app-created content in Google Photos Use cases this action DOES NOT SUPPORT: - Accessing photos taken by the user's camera - Viewing photos from other apps or web uploads - Listing the user's entire photo library For accessing a user's full library, use the Google Photos Picker API instead: https://developers.google.com/photos/picker |
| `GOOGLEPHOTOS_SEARCH_MEDIA_ITEMS` | Search Media Items | Searches for media items in a user's Google Photos library. |
| `GOOGLEPHOTOS_UPDATE_ALBUM` | Update Album | Updates an album's title or cover photo in Google Photos. |
| `GOOGLEPHOTOS_UPDATE_MEDIA_ITEM` | Update Media Item | Updates a media item's description in Google Photos. |
| `GOOGLEPHOTOS_UPLOAD_MEDIA` | Upload Media | Upload a media file to Google Photos. Supports images (up to 200MB) and videos (up to 20GB). |

## Supported Triggers

None listed.

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

The Googlephotos MCP server is an implementation of the Model Context Protocol that connects your AI agent to Googlephotos. It provides structured and secure access so your agent can perform Googlephotos 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 OpenAI API Key
- Primary know-how of OpenAI Agents SDK
- A live Googlephotos project
- Some knowledge of Python or Typescript

### 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).
- Go to Settings and copy your API key.

### 2. Install dependencies

Install the Composio SDK and the OpenAI Agents SDK.
```python
pip install composio_openai_agents openai-agents python-dotenv
```

```typescript
npm install @composio/openai-agents @openai/agents dotenv
```

### 3. Set up environment variables

Create a .env file and add your OpenAI and Composio API keys.
```bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com
```

### 4. Import dependencies

What's happening:
- You're importing all necessary libraries.
- The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Googlephotos.
```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
```

### 5. Set up the Composio instance

No description provided.
```python
load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
```

```typescript
dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
```

### 6. Create a Tool Router session

What is happening:
- You give the Tool Router the user id and the toolkits you want available. Here, it is only googlephotos.
- The router checks the user's Googlephotos connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Googlephotos.
- This approach keeps things lightweight and lets the agent request Googlephotos tools only when needed during the conversation.
```python
# Create a Googlephotos Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["googlephotos"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Googlephotos
const session = await composio.create(userId as string, {
  toolkits: ['googlephotos'],
});
const mcpUrl = session.mcp.url;
```

### 7. Configure the agent

No description provided.
```python
# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Googlephotos. "
        "Help users perform Googlephotos operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
```

```typescript
// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Googlephotos. Help users perform Googlephotos operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
```

### 8. Start chat loop and handle conversation

No description provided.
```python
print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

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

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

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

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

  if (!text) {
    rl.prompt();
    return;
  }

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["googlephotos"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Googlephotos. "
        "Help users perform Googlephotos operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

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

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['googlephotos'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Googlephotos. Help users perform Googlephotos operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

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

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

    if (!text) {
      rl.prompt();
      return;
    }

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

main().catch((err) => {
  console.error('Fatal error:', err);
  process.exit(1);
});
```

## Conclusion

This was a starter code for integrating Googlephotos MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Googlephotos.
Key features:
- Hosted MCP tool integration through Composio's Tool Router
- SQLite session persistence for conversation history
- Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

## How to build Googlephotos MCP Agent with another framework

- [ChatGPT](https://composio.dev/toolkits/googlephotos/framework/chatgpt)
- [Claude Agent SDK](https://composio.dev/toolkits/googlephotos/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/googlephotos/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/googlephotos/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/googlephotos/framework/codex)
- [Cursor](https://composio.dev/toolkits/googlephotos/framework/cursor)
- [VS Code](https://composio.dev/toolkits/googlephotos/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/googlephotos/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/googlephotos/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/googlephotos/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/googlephotos/framework/cli)
- [Google ADK](https://composio.dev/toolkits/googlephotos/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/googlephotos/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/googlephotos/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/googlephotos/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/googlephotos/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/googlephotos/framework/crew-ai)

## Related Toolkits

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- [Box](https://composio.dev/toolkits/box) - Box is a cloud content management and file sharing platform for businesses. It helps teams securely store, organize, and collaborate on files from anywhere.
- [Carbone](https://composio.dev/toolkits/carbone) - Carbone is a blazing-fast report generator that turns JSON data into PDFs, Word docs, spreadsheets, and more using flexible templates. It lets you automate document creation at scale with minimal code.
- [Castingwords](https://composio.dev/toolkits/castingwords) - CastingWords is a transcription service specializing in human-powered, accurate transcripts via a simple API. Get seamless audio-to-text conversion for interviews, meetings, podcasts, and more.
- [Cloudconvert](https://composio.dev/toolkits/cloudconvert) - CloudConvert is a powerful file conversion service supporting over 200 file formats. It streamlines converting, compressing, and managing documents, media, and more, all in one place.
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- [Cloudpress](https://composio.dev/toolkits/cloudpress) - Cloudpress is a content export tool for Google Docs and Notion. It automates publishing to your favorite Content Management Systems.
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- [Conversion tools](https://composio.dev/toolkits/conversion_tools) - Conversion Tools is an online service for converting documents between formats such as PDF, Word, Excel, XML, and CSV. It lets you automate complex document workflows with just a few clicks.
- [Convertapi](https://composio.dev/toolkits/convertapi) - ConvertAPI is a robust file conversion service for documents, images, and spreadsheets. It streamlines programmatic format changes and lets developers automate complex workflows with a single API.
- [Craftmypdf](https://composio.dev/toolkits/craftmypdf) - CraftMyPDF is a web-based service for designing and generating PDFs with templates and live data. It streamlines document creation by automating personalized PDFs at scale.

## Frequently Asked Questions

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

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

### Can I use Tool Router MCP with OpenAI Agents SDK?

Yes, you can. OpenAI Agents 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 Googlephotos tools.

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

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

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