# How to integrate Shotstack MCP with Autogen

```json
{
  "title": "How to integrate Shotstack MCP with Autogen",
  "toolkit": "Shotstack",
  "toolkit_slug": "shotstack",
  "framework": "AutoGen",
  "framework_slug": "autogen",
  "url": "https://composio.dev/toolkits/shotstack/framework/autogen",
  "markdown_url": "https://composio.dev/toolkits/shotstack/framework/autogen.md",
  "updated_at": "2026-05-12T10:26:06.027Z"
}
```

## Introduction

This guide walks you through connecting Shotstack to AutoGen using the Composio tool router. By the end, you'll have a working Shotstack agent that can create a video slideshow from uploaded images, generate a branded video intro with logo, combine multiple video clips into one file through natural language commands.
This guide will help you understand how to give your AutoGen agent real control over a Shotstack account through Composio's Shotstack MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Shotstack with

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

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Install the required dependencies for Autogen and Composio
- Initialize Composio and create a Tool Router session for Shotstack
- Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
- Configure an Autogen AssistantAgent that can call Shotstack tools
- Run a live chat loop where you ask the agent to perform Shotstack operations

## What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.
Key features include:
- Multi-Agent Systems: Build collaborative agent workflows
- MCP Workbench: Native support for Model Context Protocol tools
- Streaming HTTP: Connect to external services through streamable HTTP
- AssistantAgent: Pre-built agent class for tool-using assistants

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

The Shotstack MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Shotstack account. It provides structured and secure access to powerful video, image, and audio automation features—so your agent can create dynamic media content, edit assets, manage rendering jobs, and retrieve results at scale on your behalf.
- Automated video and image generation: Let your agent assemble and render videos or images programmatically using templates, custom assets, and dynamic data.
- Media editing and composition: Enable your agent to cut, trim, overlay, and combine media clips—adding text, transitions, or audio tracks as needed.
- Batch rendering and job management: Have your agent submit, track, and manage multiple rendering jobs, so you can scale creative automation for campaigns or client deliverables.
- Asset and template organization: Allow your agent to upload, list, and organize reusable templates and media assets, keeping your creative workflow streamlined.
- Result retrieval and download: Automatically fetch completed renders and download media files, making finished content instantly available for distribution or review.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `SHOTSTACK_CREATE_TEMPLATE` | Create Template | Tool to create a new template for video editing. Use when you want to save a reusable timeline configuration as a template. Template changes do not retroactively affect past renders. |
| `SHOTSTACK_CREATE_TEMPLATE2` | Create Template (v2) | Tool to save an Edit as a re-usable template. Templates can be retrieved and modified before rendering. Use when you want to create a template with merge fields for dynamic content. |
| `SHOTSTACK_DELETE_INGESTED_MEDIA` | Delete Ingested Media | Tool to delete an ingested media asset. Use when you've confirmed the ingest ID and need to remove the file from Shotstack storage. |
| `SHOTSTACK_DELETE_TEMPLATE2` | Delete Template | Tool to delete a specific Shotstack template by its ID. Use when you need to remove a template permanently. |
| `SHOTSTACK_DELETE_WORKFLOW` | Delete Shotstack Workflow | Tool to delete a specific Shotstack workflow. Use when you need to permanently remove a workflow after confirming its ID. |
| `SHOTSTACK_FETCH_SOURCE` | Fetch Source | Tool to fetch a remote media file and store it as a source asset. Operation is asynchronous — poll SHOTSTACK_GET_INGEST_STATUS or SHOTSTACK_INSPECT_MEDIA until the asset is ready before passing it to SHOTSTACK_RENDER_VIDEO or other downstream tools. Use when you need to ingest a file before rendering. |
| `SHOTSTACK_GET_ASSETS` | Get Asset | Tool to fetch details of a hosted asset by its unique identifier. Use when you need to retrieve information about videos, images, audio files, thumbnails, or poster images hosted on Shotstack's CDN. |
| `SHOTSTACK_GET_ASSETS_RENDER` | Get Assets by Render ID | Tool to retrieve hosted assets by render ID. Use when you need to fetch one or more files (video, thumbnail, poster image) generated by a specific render job. |
| `SHOTSTACK_GET_RENDER_CALLBACK` | Get Render Callback | Tool to retrieve the webhook/callback URL configuration for a specific render job. Returns only callback settings (URL, method, headers), not render status or output URLs — use a separate render-status check to obtain final results. |
| `SHOTSTACK_GET_RENDER_STATUS` | Get Render Status | Tool to retrieve the current status and details of a Shotstack render job by render ID. Use when polling a render until done or failed, typically after creating a render with SHOTSTACK_RENDER_VIDEO. |
| `SHOTSTACK_GET_SOURCE` | Get Source Details | Tool to fetch the details of a specific source asset. Use when you need to inspect a source after uploading, check its status, or diagnose ingest/render failures—such as unsupported codecs, corrupt files, or bad URLs—before retrying. |
| `SHOTSTACK_GET_TEMPLATE` | Get Template | Tool to retrieve details of a specific template. Use when you have the ID of an existing template and need its metadata. |
| `SHOTSTACK_GET_TEMPLATE_BY_VERSION` | Get Template By Version | Tool to retrieve a template by template id and API version. Use when you need to fetch template details from a specific Edit API version. |
| `SHOTSTACK_GET_UPLOAD_URL` | Get Upload URL | Tool to request a signed URL for direct file upload to Shotstack. Use when you need to upload a file to Shotstack storage. The response returns a signed URL that you use to upload the file using a PUT request with the binary file. |
| `SHOTSTACK_INSPECT_MEDIA` | Inspect Media | Tool to inspect media metadata. Use before rendering to retrieve duration, resolution, frame rate, and format of an online media file — clip timecodes, trim points, and audio sync calculations depend on these values. Mixing assets without prior inspection can cause letterboxing, jitter, or audio sync issues in the final output. |
| `SHOTSTACK_LIST_SOURCES` | List Sources | Tool to list all source assets. Use when you need to retrieve source entries with optional pagination. |
| `SHOTSTACK_LIST_SOURCES2` | List Sources (with Environment) | Tool to list all ingested source files with environment selection. Use when you need to retrieve sources from stage (sandbox) or v1 (production) environment with optional pagination. |
| `SHOTSTACK_LIST_TEMPLATES` | List Templates | Tool to list all Shotstack templates for the account. Use after creating or updating templates to view your available templates. |
| `SHOTSTACK_LIST_TEMPLATES2` | List Templates with Environment | Tool to list all Shotstack templates for the specified environment. Use when you need to retrieve templates from a specific environment (stage or production). |
| `SHOTSTACK_POST_UPLOAD` | Request Upload URL | Tool to request a signed URL for direct file upload. Use when you need to upload a file to Shotstack storage. The response returns a signed URL that expires in one hour. |
| `SHOTSTACK_RENDER_VIDEO` | Render Video | Tool to initiate a new video render job. Use when you have defined a timeline and output settings and want to start rendering. |
| `SHOTSTACK_TRANSFER_ASSET` | Transfer Asset | Tool to transfer a file from any publicly available URL to one or more Serve API destinations. Use when you need to copy a file from an external source to Shotstack's hosting service or other configured destinations. |
| `SHOTSTACK_UPDATE_TEMPLATE` | Update Template | Tool to update an existing template by its ID. Use when you need to modify a template's name or edit configuration. Both name and complete template definition must be provided. |

## Supported Triggers

None listed.

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

The Shotstack MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Shotstack. Instead of manually wiring Shotstack APIs, OAuth, and scopes yourself, you get a structured, tool-based interface that an LLM can call safely.
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

You will need:
- A Composio API key
- An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
- A Shotstack account you can connect to Composio
- Some basic familiarity with Autogen and Python async

### 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

Install Composio, Autogen extensions, and dotenv.
What's happening:
- composio connects your agent to Shotstack via MCP
- autogen-agentchat provides the AssistantAgent class
- autogen-ext-openai provides the OpenAI model client
- autogen-ext-tools provides MCP workbench support
```bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools
```

### 3. Set up environment variables

Create a .env file in your project folder.
What's happening:
- COMPOSIO_API_KEY is required to talk to Composio
- OPENAI_API_KEY is used by Autogen's OpenAI client
- USER_ID is how Composio identifies which user's Shotstack connections to use
```bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com
```

### 4. Import dependencies and create Tool Router session

What's happening:
- load_dotenv() reads your .env file
- Composio(api_key=...) initializes the SDK
- create(...) creates a Tool Router session that exposes Shotstack tools
- session.mcp.url is the MCP endpoint that Autogen will connect to
```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Shotstack session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["shotstack"]
    )
    url = session.mcp.url
```

### 5. Configure MCP parameters for Autogen

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.
What's happening:
- url points to the Tool Router MCP endpoint from Composio
- timeout is the HTTP timeout for requests
- sse_read_timeout controls how long to wait when streaming responses
- terminate_on_close=True cleans up the MCP server process when the workbench is closed
```python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)
```

### 6. Create the model client and agent

What's happening:
- OpenAIChatCompletionClient wraps the OpenAI model for Autogen
- McpWorkbench connects the agent to the MCP tools
- AssistantAgent is configured with the Shotstack tools from the workbench
```python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Shotstack assistant agent with MCP tools
    agent = AssistantAgent(
        name="shotstack_assistant",
        description="An AI assistant that helps with Shotstack operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )
```

### 7. Run the interactive chat loop

What's happening:
- The script prompts you in a loop with You:
- Autogen passes your input to the model, which decides which Shotstack tools to call via MCP
- agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
- Typing exit, quit, or bye ends the loop
```python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Shotstack related question or task to the agent.\n")

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

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

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
```

## Complete Code

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

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Shotstack session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["shotstack"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Shotstack assistant agent with MCP tools
        agent = AssistantAgent(
            name="shotstack_assistant",
            description="An AI assistant that helps with Shotstack operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Shotstack related question or task to the agent.\n")

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

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

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

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

## Conclusion

You now have an Autogen assistant wired into Shotstack through Composio's Tool Router and MCP. From here you can:
- Add more toolkits to the toolkits list, for example notion or hubspot
- Refine the agent description to point it at specific workflows
- Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Shotstack, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

## How to build Shotstack MCP Agent with another framework

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

## Related Toolkits

- [Youtube](https://composio.dev/toolkits/youtube) - YouTube is a leading video-sharing platform for uploading, streaming, and discovering content. It empowers creators and businesses to reach global audiences and monetize their work.
- [Amara](https://composio.dev/toolkits/amara) - Amara is a collaborative platform for creating and managing subtitles and captions for videos. It helps make content accessible and multilingual for global audiences.
- [Cats](https://composio.dev/toolkits/cats) - Cats is an API with a huge library of cat images, breed data, and cat facts. It makes finding adorable cat photos and trivia effortless for your apps and users.
- [Chatfai](https://composio.dev/toolkits/chatfai) - Chatfai is an AI platform that lets users talk to AI versions of fictional characters from books, movies, and games. It offers an engaging, interactive experience for fans to chat, roleplay, and explore creative dialogues.
- [Cincopa](https://composio.dev/toolkits/cincopa) - Cincopa is a multimedia platform for uploading, managing, and customizing videos, images, and audio. It helps you deliver engaging media experiences with robust APIs and flexible integrations.
- [Dungeon fighter online](https://composio.dev/toolkits/dungeon_fighter_online) - Dungeon Fighter Online (DFO) is an arcade-style, side-scrolling action RPG packed with dynamic combat and progression. Play solo or with friends to battle monsters, complete quests, and upgrade your characters.
- [Elevenlabs](https://composio.dev/toolkits/elevenlabs) - Elevenlabs is an advanced AI voice generation platform for lifelike, multilingual speech synthesis. Perfect for creating natural voices for videos, apps, and business content in seconds.
- [Elevenreader](https://composio.dev/toolkits/elevenreader) - Elevenreader is an AI-powered text-to-speech service by ElevenLabs that converts written content into lifelike audio. It enables fast, natural audio generation from any text.
- [Epic games](https://composio.dev/toolkits/epic_games) - Epic Games is a leading video game publisher and digital storefront, known for Fortnite and Unreal Engine. It lets gamers access, manage, and purchase games all in one place.
- [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.
- [Giphy](https://composio.dev/toolkits/giphy) - Giphy is the largest online library for searching and sharing GIFs and stickers. Instantly add vibrant animated content to your apps, chats, and workflows.
- [Headout](https://composio.dev/toolkits/headout) - Headout is a global platform for booking travel experiences, tours, and entertainment. It helps users discover and secure activities at top destinations, all in one place.
- [Imagekit io](https://composio.dev/toolkits/imagekit_io) - ImageKit.io is a cloud-based media management platform for image and video delivery. Instantly optimize, transform, and deliver visuals globally via a lightning-fast CDN.
- [Listennotes](https://composio.dev/toolkits/listennotes) - Listennotes is a powerful podcast search engine with a massive global database. Discover, search, and curate podcasts from around the world in seconds.
- [News api](https://composio.dev/toolkits/news_api) - News api is a REST API for searching and retrieving live news articles from across the web. Instantly access headlines, coverage, and breaking stories from thousands of sources.
- [RAWG Video Games Database](https://composio.dev/toolkits/rawg_video_games_database) - RAWG Video Games Database is the largest video game discovery and info service. Instantly access comprehensive details, ratings, and release dates for thousands of games.
- [Seat geek](https://composio.dev/toolkits/seat_geek) - SeatGeek is a live event platform offering APIs for concerts, sports, and theater data. Instantly access events, venues, and performers info for smarter ticketing and discovery.
- [Spotify](https://composio.dev/toolkits/spotify) - Spotify is a streaming service for music and podcasts with millions of tracks from artists worldwide. Enjoy personalized playlists, recommendations, and seamless listening across all your devices.
- [Ticketmaster](https://composio.dev/toolkits/ticketmaster) - Ticketmaster is a global platform for event discovery, ticket sales, and live entertainment management. Get real-time access to events and streamline ticketing for fans and organizers.
- [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable.

## Frequently Asked Questions

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

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

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

Yes, you can. Autogen 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 Shotstack tools.

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

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

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