How do I get a Creatomate API Key?

Log in to your Creatomate account, select your project, and navigate to **Project Settings > API Keys** to generate a secret key.

Can I provide dynamic text for videos?

Yes, you can use the 'modifications' parameter in the render_video tool to swap text, images, or colors defined in your template.

What is the rendering time?

Rendering time depends on video length and complexity, but Creatomate is optimized for speed. You can use the get_render_status tool to check when it's done.

Creatomate MCP Server for LangChain 9 tools — connect in under 2 minutes

Name: Creatomate
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 9 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Creatomate through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "creatomate": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Creatomate, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Creatomate MCP Server

Integrate Creatomate, the powerful video automation platform, directly into your AI workflow. Generate high-quality videos from templates, manage your media assets, and monitor rendering tasks using natural language.

LangChain's ecosystem of 500+ components combines seamlessly with Creatomate through native MCP adapters. Connect 9 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Automated Rendering — Trigger new video renders using dynamic templates and custom modifications via chat.
Template Exploration — List and inspect available video templates and their dynamic fields.
Asset Management — Manage your library of images, videos, and audio files used in your projects.
Status Tracking — Monitor the progress of rendering tasks and retrieve final video URLs in real-time.

The Creatomate MCP Server exposes 9 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Creatomate to LangChain via MCP

Follow these steps to integrate the Creatomate MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 9 tools from Creatomate via MCP

Why Use LangChain with the Creatomate MCP Server

LangChain provides unique advantages when paired with Creatomate through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Creatomate MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Creatomate queries for multi-turn workflows

Creatomate + LangChain Use Cases

Practical scenarios where LangChain combined with the Creatomate MCP Server delivers measurable value.

RAG with live data: combine Creatomate tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Creatomate, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Creatomate tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Creatomate tool call, measure latency, and optimize your agent's performance

Creatomate MCP Tools for LangChain (9)

These 9 tools become available when you connect Creatomate to LangChain via MCP:

get_project_settings

Retrieve settings and metadata for the current project

get_render_status

Check the status and get the URL of a rendered video

get_template_details

Get structure and dynamic fields for a template

list_media_assets

List uploaded media assets (images, videos, audio)

list_recent_renders

List recent video rendering tasks and their status

list_video_automations

List automated video workflows

list_video_templates

List all video templates available in your project

render_video

Trigger a new video render using a template and modifications

search_templates_by_name

Search for video templates by name

Example Prompts for Creatomate in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Creatomate immediately.

"Render a video using template 't8s9df7' with the text 'Flash Sale!' and background image 'sale.jpg'."

"What's the status of my video render 'r123abc'?"

"List all video templates in my project."

Troubleshooting Creatomate MCP Server with LangChain

Common issues when connecting Creatomate to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Creatomate + LangChain FAQ

Common questions about integrating Creatomate MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.