How to Use the Dribbble MCP in AutoGen

Q: How do AutoGen agents coordinate a Dribbble upload?

One agent drafts the post details, while another uses createshot to publish it to Dribbble. They communicate in an AutoGen group chat to ensure the metadata is perfect before submitting.

Let AutoGen agents debate and coordinate your Dribbble uploads, project organization, and job postings.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Dribbble MCP to AutoGen

Create your Vinkius account to connect Dribbble to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Dribbble with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Collaborative Dribbble Publishing

Coordinate your Dribbble design releases with multiple AutoGen agents. In AutoGen, a copywriter agent drafts the description while a coordinator agent runs `create_shot` to post the asset to your Dribbble profile. If the Dribbble upload requires extra files, a third AutoGen agent checks your subscription level and runs `create_attachment` to complete the post.

Consensus-Driven Portfolio Cleanup

Avoid accidental Dribbble deletions with AutoGen agent consensus. Before removing underperforming work, an AutoGen analyst agent runs `list_user_shots` to find low-engagement Dribbble posts and proposes a cleanup list. Only after both AutoGen agents agree the Dribbble design no longer fits your brand direction will the manager agent run `delete_shot`.

Multi-Agent Project Sorting with MCP Server

Organize your Dribbble work through automated AutoGen debate. One agent analyzes your designs while another uses this MCP Server to fetch your Dribbble project list via `list_projects`. After deciding where each Dribbble design belongs, the AutoGen agents run `create_project` to build new folders and `update_shot` to move the files into place.

Setup guide

Set up Dribbble MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Dribbble tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Dribbble_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Dribbble data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

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

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Dribbble_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Dribbble data")
    print(result.messages[-1].content)

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Dribbble now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Dribbble MCP in AutoGen

One agent drafts the post details, while another uses `create_shot` to publish it to Dribbble. They communicate in an AutoGen group chat to ensure the metadata is perfect before submitting.

Yes, assuming you have the Dribbble partner token. An AutoGen recruiting agent can draft requirements, a budget agent can approve them, and a third agent runs `create_job` to post it.

The executing agent reports the error back to the AutoGen group chat. Another agent can analyze the failure and try a different approach, like running `create_project` first if the target Dribbble folder is missing.

No, the Dribbble API does not support video files. Your AutoGen agents must filter out video formats before attempting to run `create_shot` to prevent execution errors.

Your Dribbble write-access tokens are injected securely at the server level on Vinkius. Individual AutoGen agents only see the tool definitions, meaning they cannot leak your raw API keys during their debates.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript