How to Use the Docker Hub MCP in LlamaIndex
Index your entire Docker Hub registry into LlamaIndex for semantic search and knowledge-augmented image management.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Docker Hub MCP to LlamaIndex
Create your Vinkius account to connect Docker Hub to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Query your registry with LlamaIndex
Turn your registry metadata into searchable knowledge. Use `list_repositories` to pull your current state, then index that data so you can ask your agent about image versions or usage patterns. This gives your agent a complete view of your ecosystem. It answers questions about repository history using actual data retrieved from the API.
Retrieve tag details for RAG tasks
Fetch precise information on image versions using `get_tag`. Your agent uses this data to ground its responses in reality instead of relying on outdated internal knowledge. It pulls the digest and size for every tag you need. You get a clear audit trail for every image version currently hosted in your registry.
Manage organization structures in LlamaIndex
Explore your teams and namespaces using `list_organizations`. This tool maps out your entire Docker Hub account structure so your agent understands where it has permission to operate. It clarifies the hierarchy of your resources. Your agent uses this map to navigate between different namespaces without needing hardcoded paths.
Set up Docker Hub MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all Docker Hub MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
# Connect to the MCP
mcp_client = BasicMCPClient(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)
# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()
# Create and run the agent
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt="You have access to Docker Hub tools.",
)
response = await agent.run("List recent Docker Hub data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Docker Hub. 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.
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Common questions about Docker Hub MCP in LlamaIndex
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