Unsplash 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 Unsplash 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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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 Unsplash. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Unsplash?"
)
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 Unsplash MCP Server
Connect the Unsplash photography ecosystem to any AI agent and take full autonomous control over discovering, indexing, and retrieving high-resolution imagery and curated collections native to your chat interface.
LlamaIndex agents combine Unsplash 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
- Intelligent Image Search — Query the global massive library using natural language to extract direct photo IDs, resolution properties, and immediate HD links
- Curated Collection Auditing — Dive into thematic human-curated folders grabbing entire bundles of contextual visuals natively via API
search_collections - Random Inspiration Hooks — Prompt the LLM to pluck out absolutely random high-res visuals based on subtle conceptual inputs finding the elusive perfect placeholder
- Photographer Telemetry — Isolate public artists retrieving entire portfolios tracking the
search_userscapabilities inherently within your workspace
The Unsplash 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 Unsplash to LlamaIndex via MCP
Follow these steps to integrate the Unsplash 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 Unsplash
Why Use LlamaIndex with the Unsplash MCP Server
LlamaIndex provides unique advantages when paired with Unsplash through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Unsplash tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Unsplash tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Unsplash, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Unsplash tools were called, what data was returned, and how it influenced the final answer
Unsplash + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Unsplash MCP Server delivers measurable value.
Hybrid search: combine Unsplash real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Unsplash 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 Unsplash for fresh data
Analytical workflows: chain Unsplash queries with LlamaIndex's data connectors to build multi-source analytical reports
Unsplash MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Unsplash to LlamaIndex via MCP:
get_collection_details
Retrieves details for a specific photo collection
get_photo_details
Retrieves details for a specific Unsplash photo
get_photographer_photos
Lists photos uploaded by a specific Unsplash user
get_random_photo
Optionally provide a query to narrow the random selection. Retrieves a random high-resolution photo
list_collection_photos
Requires a collection ID. Lists all photos contained within a specific collection
list_editorial_topics
Lists curated editorial topics (Nature, Architecture, etc.)
list_latest_photos
Lists the most recently uploaded photos on Unsplash
search_collections
g. "Nature", "Industrial"). Search for curated photo collections by keyword
search_photographers
Search for Unsplash photographers by name or username
search_photos
Returns photo IDs, URLs, and photographer information. Note: Proper attribution is required. Search Unsplash for free high-resolution photos
Example Prompts for Unsplash in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Unsplash immediately.
"Search for 3 high resolution images containing 'cyberpunk city' aesthetics and provide their URLs natively in your response."
"Grab a random photo matching 'coffee desk concept' to help me prototype a blog layout."
"I need to see what's trending. Quickly gather the 10 most recently published latest photos off the main feed."
Troubleshooting Unsplash MCP Server with LlamaIndex
Common issues when connecting Unsplash to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpUnsplash + LlamaIndex FAQ
Common questions about integrating Unsplash 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 Unsplash 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 Unsplash to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.