How to Use the Unsplash MCP in LlamaIndex

Q: How do I query Unsplash data using LlamaIndex?

You first call a function like getphotodetails to retrieve specific metadata. Then, you pass that output to LlamaIndex so it can build and update your vector store. This allows for semantic searching later.

Q: Can I find collections in Unsplash using LlamaIndex?

Yes, use searchcollections. The resulting collection names and IDs are indexed into the knowledge base. You can then query these details without needing to re-call the tool.

Q: What if I need a random photo in Unsplash using LlamaIndex?

You run getrandomphoto and index its metadata (like URL, photographer info). This lets you search for 'photographs similar to the one retrieved' by querying the indexed data.

Q: If I search for Unsplash using LlamaIndex, what info is available?

Using searchphotos, the server provides photo IDs, URLs, and photographer details. These records are added to your index, allowing you to query them contextually later.

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Connect Unsplash MCP to LlamaIndex

Create your Vinkius account to connect Unsplash 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 Unsplash with LlamaIndex

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Create a searchable index of photo collections.

Use the `search_collections` tool to find curated topics (e.g., 'Nature'). Instead of just calling it once, you pass all the results into LlamaIndex. The server indexes these collection names and descriptions. Later on, your agent can query that index: 'What kind of collections exist for industrial design?' You get an answer grounded in actual `search_collections` data.

Ground answers in user portfolios.

Want to know what a specific photographer has posted? Call `get_photographer_photos` using their username. LlamaIndex takes the resulting photo details and indexes them against your knowledge base. This means you can ask complex questions like, 'What did Jane Doe post about travel last month?' and get an answer based on her actual indexed output.

Track recent uploads and topics.

Need to know what's trending? You can call `list_latest_photos` or `list_editorial_topics`. Both tools provide lists of data. LlamaIndex ingests these lists, making them searchable. If you later ask the agent about 'recent topics,' it pulls from the indexed results of `list_editorial_topics`, ensuring accuracy.

Setup guide

Set up Unsplash 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 Unsplash 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 Unsplash tools.",
)
response = await agent.run("List recent Unsplash data")

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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 MCP in LlamaIndex

You first call a function like `get_photo_details` to retrieve specific metadata. Then, you pass that output to LlamaIndex so it can build and update your vector store. This allows for semantic searching later.

Yes, use `search_collections`. The resulting collection names and IDs are indexed into the knowledge base. You can then query these details without needing to re-call the tool.

You run `get_random_photo` and index its metadata (like URL, photographer info). This lets you search for 'photographs similar to the one retrieved' by querying the indexed data.

The MCP Server manages photo metadata: IDs, URLs, collection details, photographer information, and topics. All this structured data gets indexed for retrieval.

Using `search_photos`, the server provides photo IDs, URLs, and photographer details. These records are added to your index, allowing you to query them contextually later.

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