How to Use the Unsplash Alternative MCP in Google ADK

Q: What's the process for searching with Unsplash Alternative and Google ADK?

Your agent uses searchphotos to query assets. Because of Gemini's long context window, it can take the search results and run complex comparisons against data already loaded in BigQuery.

Q: Can I check user details with Unsplash Alternative and Google ADK?

Yes. Use getuser to pull core account metadata. This information is structured for easy ingestion into your enterprise cloud databases, complementing existing data sets.

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Connect Unsplash Alternative MCP to Google ADK

Create your Vinkius account to connect Unsplash Alternative to Google ADK 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 Unsplash Alternative with Google ADK

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Searching for Visual Content (MCP Server)

Need to find a specific look? Use `search_photos` and `list_topics` to locate high-quality imagery based on keywords or categories. This allows your Gemini agent to ground its reasoning in concrete visual data. When the user knows they want a certain *style* of content, calling `search_collections` helps restrict the search space dramatically, improving overall accuracy.

Handling User and Photo Metadata (Google ADK)

To build comprehensive user reports, your agent first calls `get_user` to pull basic account information. Then, it uses `get_user_photos` to fetch all the images that person uploaded into a structured data format. You can also combine this with `get_photo_stats`. This gives the BigQuery pipeline key metrics—like view counts or usage totals—for every asset.

Retrieving Assets for Context (Google ADK)

Sometimes you just need a visual example. The `get_random_photo` tool pulls a high-quality, random image that can be used as an immediate reference point in your data model. It's fast and reliable. If the randomness isn't enough, calling `get_collection` gives deep details about a specific curated set of photos, which is ideal for structured analysis.

Setup guide

Set up Unsplash Alternative MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Unsplash Alternative tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Unsplash Alternative_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Unsplash Alternative tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Unsplash. 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 Unsplash Alternative MCP in Google ADK

The MCP Server exposes all its tools to the LlmAgent framework. This means your Gemini models can execute photo searches, user lookups, and collection retrievals directly within your cloud workflow.

Your agent uses `search_photos` to query assets. Because of Gemini's long context window, it can take the search results and run complex comparisons against data already loaded in BigQuery.

Yes. Use `get_user` to pull core account metadata. This information is structured for easy ingestion into your enterprise cloud databases, complementing existing data sets.

This server handles public-facing metadata for Photos, Users, and Collections. It provides details like usernames, photo URLs, collection names, and basic usage statistics. All data is intended for analysis.

It's designed to integrate natively into the Google Cloud environment. This means you get structured, traceable calls that fit perfectly within your existing BigQuery and Vertex AI pipelines.

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