Docker Hub MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Docker Hub through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"docker-hub": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Docker Hub, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Docker Hub through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Docker Hub MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Docker Hub via MCP
Why Use LangChain with the Docker Hub MCP Server
LangChain provides unique advantages when paired with Docker Hub through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Docker Hub MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Docker Hub queries for multi-turn workflows
Docker Hub + LangChain Use Cases
Practical scenarios where LangChain combined with the Docker Hub MCP Server delivers measurable value.
RAG with live data: combine Docker Hub tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Docker Hub, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Docker Hub tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Docker Hub tool call, measure latency, and optimize your agent's performance
Docker Hub MCP Tools for LangChain (10)
These 10 tools become available when you connect Docker Hub to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Docker Hub to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersDocker Hub + LangChain FAQ
Common questions about integrating Docker Hub MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.