Docker Hub MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Docker Hub through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="Docker Hub Assistant",
instructions=(
"You help users interact with Docker Hub. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Docker Hub"
)
print(result.final_output)
asyncio.run(main())
* 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 Docker Hub MCP Server
Connect your Docker Hub account to any AI agent and manage your container images through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Docker Hub through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Docker Hub, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Repository Management — List, create, update and delete Docker image repositories
- Tag Discovery — Browse available image tags with versions, sizes and architecture info
- Account Info — View your user profile, organizations and repository statistics
- Image Search — Search for public Docker images by name or description
- Pull Stats — Monitor pull counts and repository popularity metrics
The Docker Hub MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 Docker Hub to OpenAI Agents SDK via MCP
Follow these steps to integrate the Docker Hub MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Docker Hub
Why Use OpenAI Agents SDK with the Docker Hub MCP Server
OpenAI Agents SDK provides unique advantages when paired with Docker Hub through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Docker Hub + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Docker Hub MCP Server delivers measurable value.
Automated workflows: build agents that query Docker Hub, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Docker Hub, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Docker Hub tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Docker Hub to resolve tickets, look up records, and update statuses without human intervention
Docker Hub MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Docker Hub to OpenAI Agents SDK via MCP:
create_repository
Requires the namespace (your username or org) and repository name. Optionally set a description and visibility (public/private). Returns the created repository. Create a new Docker Hub repository
delete_repository
Provide the namespace and repository name. WARNING: this action is irreversible. Delete a Docker Hub repository
get_repository
Provide the namespace (username/org) and repository name. Get details for a specific Docker Hub repository
get_tag
Provide the namespace, repository name and tag name (e.g. "latest", "v1.2.3"). Get details for a specific image tag
get_user
Returns username, email, full name, location, company and account type. Use this to verify your access token is working correctly. Get the authenticated Docker Hub user info
list_organizations
Each organization includes its name, full name, type and creation date. List organizations the user belongs to
list_repositories
Each repository shows its name, namespace, description, star count, pull count, visibility (public/private) and last updated date. Optionally set pagination parameters. List Docker Hub repositories (images)
list_tags
Each tag shows the tag name, image size, last pushed date and digest. Useful for discovering available image versions. List tags for a Docker Hub repository
search_repositories
Returns matching repos with their namespace, name, star count, pull count and description. Useful for discovering community images. Search for Docker Hub repositories
update_repository
Provide the namespace, repository name and a JSON object with fields to update (e.g. {"description": "New description", "is_private": true}). Only provided fields will be modified. Update a Docker Hub repository
Example Prompts for Docker Hub in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Docker Hub immediately.
"List all my Docker repositories."
"Show me all available tags for the nginx official image."
"Search for official Python images on Docker Hub."
Troubleshooting Docker Hub MCP Server with OpenAI Agents SDK
Common issues when connecting Docker Hub to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Docker Hub + OpenAI Agents SDK FAQ
Common questions about integrating Docker Hub MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Docker Hub with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Docker Hub to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.