Docker Hub MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Docker Hub as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Docker Hub. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Docker Hub?"
)
print(response)
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.
LlamaIndex agents combine Docker Hub tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Docker Hub MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Docker Hub
Why Use LlamaIndex with the Docker Hub MCP Server
LlamaIndex provides unique advantages when paired with Docker Hub through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Docker Hub tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Docker Hub tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Docker Hub, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Docker Hub tools were called, what data was returned, and how it influenced the final answer
Docker Hub + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Docker Hub MCP Server delivers measurable value.
Hybrid search: combine Docker Hub real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Docker Hub to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Docker Hub for fresh data
Analytical workflows: chain Docker Hub queries with LlamaIndex's data connectors to build multi-source analytical reports
Docker Hub MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Docker Hub to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Docker Hub to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDocker Hub + LlamaIndex FAQ
Common questions about integrating Docker Hub MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.