How to Use the Dribbble MCP in OpenAI Agents SDK

Q: Can I use OpenAI Agents SDK to track my Dribbble shot stats?

You can list your existing shots with listusershots. It pulls the data into your agent, where you can parse the details for your internal reporting.

Push your designs to Dribbble directly from your OpenAI Agents SDK workflow. Keep your portfolio current without leaving your code.

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Connect Dribbble MCP to OpenAI Agents SDK

Create your Vinkius account to connect Dribbble 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 Dribbble with OpenAI Agents SDK

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Automate shot uploads with OpenAI Agents SDK

Stop manual uploads. Use `create_shot` to push your latest work from your local agent environment directly to your feed. It handles the metadata payload so you can focus on the design file. Your agent manages the entire process. Once the file is ready, the `create_shot` tool executes the upload immediately. It saves you from switching windows every time you finish a project.

Organize your portfolio structure

Group your work into logical collections using `create_project`. It keeps your profile clean and makes it easier for clients to navigate your history. Updating your project structure is just as simple. Use `update_project` to rename or reorder your collections as your design focus shifts over time.

Manage assets and project details

Attach supporting files to your shots with `create_attachment`. It ensures your process work or high-res exports stay linked to the main shot. If you need to clean up your feed, `delete_shot` and `delete_attachment` allow your agent to prune outdated content. It keeps your Dribbble presence aligned with your current portfolio goals.

Setup guide

Set up Dribbble 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 Dribbble tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Dribbble 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="Dribbble Agent",
            instructions="You have access to Dribbble tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Dribbble. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Dribbble MCP in OpenAI Agents SDK

You provide an endpoint token to the Vinkius gateway. The server handles authentication, so your API keys never touch the OpenAI Agents SDK runtime directly.

You can list your existing shots with `list_user_shots`. It pulls the data into your agent, where you can parse the details for your internal reporting.

Yes, you can iterate through your local project files and call `create_project` for each one. The agent manages the sequence to avoid hitting rate limits.

The server returns an error code specific to the API failure. Your agent catches this, allowing you to retry the `create_shot` call or log the issue for review.

Your shot data stays within your local agent instance. The Vinkius infrastructure acts as a pass-through, and we do not store your design assets or metadata on our servers.

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