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Dribbble MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 15 tools to Create Attachment, Create Job, Create Project, and more

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The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Dribbble through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Ask AI about this MCP Server for OpenAI Agents SDK

The Dribbble MCP Server for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 15 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Dribbble Assistant",
            instructions=(
                "You help users interact with Dribbble. "
                "You have access to 15 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Dribbble"
        )
        print(result.final_output)

asyncio.run(main())
Dribbble
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DLPData protection
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<40msKill switch
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 Dribbble MCP Server

Connect your Dribbble account to any AI agent to streamline your creative workflow and portfolio management through natural conversation.

The OpenAI Agents SDK auto-discovers all 15 tools from Dribbble through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Dribbble, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Shot Management — List, retrieve, create, update, and delete shots using list_user_shots, get_shot, create_shot, update_shot, and delete_shot to keep your portfolio fresh.
  • Project Organization — Create and manage projects with create_project, list_projects, and update_project to categorize your creative work effectively.
  • Profile Insights — Access your authenticated user details, bio, and team associations via get_user.
  • Attachments — Add or remove high-resolution attachments for your shots using create_attachment and delete_attachment (requires Pro/Team membership).
  • Job Tracking — Manage job-related data and updates directly through create_job, update_job, and get_job tools.

The Dribbble MCP Server exposes 15 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 15 Dribbble tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Dribbble through Vinkius, your AI agent gets direct access to every tool listed below — spanning portfolio-management, creative-workflow, design-showcase, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create attachment on Dribbble

Requires upload scope and Pro/Team membership. Create an attachment for a shot

create

Create job on Dribbble

Note: Requires a special token. Contact Dribbble for partnership. Create a job

create

Create project on Dribbble

Create a new project

create

Create shot on Dribbble

Requires upload scope. Note: Video shot creation is not supported via API. Create a new shot

delete

Delete attachment on Dribbble

Requires upload scope. Delete an attachment

delete

Delete project on Dribbble

Delete a project

delete

Delete shot on Dribbble

Requires upload scope. Delete a shot

get

Get job on Dribbble

Note: Requires a special token. Show a job

get

Get shot on Dribbble

Get a specific shot

get

Get user on Dribbble

Get the authenticated user

list

List projects on Dribbble

List projects

list

List user shots on Dribbble

List the authenticated user’s shots

update

Update job on Dribbble

Note: Requires a special token. Update a job

update

Update project on Dribbble

Update a project

update

Update shot on Dribbble

Requires upload scope. Update an existing shot

Connect Dribbble to OpenAI Agents SDK via MCP

Follow these steps to wire Dribbble into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 15 tools from Dribbble

Why Use OpenAI Agents SDK with the Dribbble MCP Server

OpenAI Agents SDK provides unique advantages when paired with Dribbble through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Dribbble + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Dribbble MCP Server delivers measurable value.

01

Automated workflows: build agents that query Dribbble, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Dribbble, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Dribbble tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Dribbble to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Dribbble in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Dribbble immediately.

01

"Retrieve my Dribbble profile information."

02

"List the shots I have currently published."

03

"Create a new project called 'Brand Identity 2024'."

Troubleshooting Dribbble MCP Server with OpenAI Agents SDK

Common issues when connecting Dribbble to OpenAI Agents SDK through Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Dribbble + OpenAI Agents SDK FAQ

Common questions about integrating Dribbble MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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