How to Use the Gamma (AI Presentations) MCP in OpenAI Agents SDK

Automate slide decks and documents in OpenAI Agents SDK. Stop formatting manually and let your agent handle the heavy lifting.

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Connect Gamma (AI Presentations) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Gamma (AI Presentations) to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Gamma (AI Presentations) with OpenAI Agents SDK

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Programmatic slide creation for OpenAI Agents SDK

Your agent can now build full presentations from scratch using `create_gamma`. You define the scope and the content, and the tool handles the layout generation inside your workspace. This bypasses the manual drag-and-drop interface entirely. Your agent takes the raw data, triggers the creation, and returns the result to your OpenAI agent context.

Full workspace management via MCP Server

Keep your project files organized by using `list_gammas` to inventory your active documents. You can fetch specific metadata with `get_gamma` to verify the state before running your next agent step. This MCP Server provides the exact visibility needed for complex agent flows. It ensures your agent always has the latest context before making any modifications.

Live updates and cleanup for your agent

When your data changes, use `update_gamma` to modify existing presentations without manual intervention. It keeps your decks synced with your source data in real-time. Finished with a draft? Use `delete_gamma` to prune your workspace and keep things clean. It prevents clutter and helps your agent focus only on relevant materials.

Setup guide

Set up Gamma (AI Presentations) MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Gamma (AI Presentations) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Gamma (AI Presentations) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Gamma (AI Presentations) tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Gamma (AI Presentations) Agent",
            instructions="You have access to Gamma (AI Presentations) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Gamma (AI Presentations) MCP in OpenAI Agents SDK

You instantiate an MCPServerStreamableHttp object pointing to your Vinkius endpoint. Pass that instance into your agent's tool configuration to enable discovery.

Yes. You can implement custom guardrails within your agent code to inspect the parameters sent to the MCP Server before the call executes.

It is. The server handles the connection logic while your agent maintains the orchestration flow.

The connection supports streaming transport protocols. Your agent will receive updates as the server processes each tool call.

Your workspace remains private. The MCP Server only touches the specific document identifiers you authorize through your agent's execution logic.

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