How to Use the Immich (Google Photos Alternative) MCP in LlamaIndex

Q: What tools should I use for RAG on my photos?

Use listassets and listpersons to gather context. These provide the raw data required for your knowledge base.

Index your entire photo library into LlamaIndex using the Immich (Google Photos Alternative) MCP Server.

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Connect Immich (Google Photos Alternative) MCP to LlamaIndex

Create your Vinkius account to connect Immich (Google Photos Alternative) 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.

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Setup Immich (Google Photos Alternative) with LlamaIndex

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Semantic photo search with LlamaIndex

Map your photo library into a vector store by iterating through `list_assets`. The indexer pulls metadata from each asset to build a searchable knowledge base. Query your library using natural language to retrieve specific images. The agent calls `get_asset` to provide the exact reference or link to the file stored on your server.

Dynamic album indexing for LlamaIndex

Use `list_albums` to capture the structure of your current photo sets. This allows the indexer to understand relationships between different events in your life. Update your knowledge base whenever you call `create_album` or `update_album`. The index stays consistent with your actual Immich instance state.

Person-based retrieval in LlamaIndex

Index recognized faces by calling `list_persons` and mapping the IDs to your vector store. You can ask your agent who is in specific photos. Fetch detailed person records using `get_person` to add depth to your search results. This connects your indexed data to the actual identity records managed by the server.

Setup guide

Set up Immich (Google Photos Alternative) MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
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 provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to 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 Immich (Google Photos Alternative) MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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 Immich (Google Photos Alternative) tools.",
)
response = await agent.run("List recent Immich (Google Photos Alternative) data")

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Common questions about Immich (Google Photos Alternative) MCP in LlamaIndex

Use the MCP tool spec to fetch the registry. The client then passes the asset data into your vector store pipeline.

It queries the index you build from the tool outputs. You get answers grounded in the metadata retrieved from your server.

The server keeps your EXIF and facial data local. Only the text metadata you choose to index leaves the server environment.

Use `list_assets` and `list_persons` to gather context. These provide the raw data required for your knowledge base.

Schedule your agent to poll the server for changes. It will pick up new assets via the tool interface.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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