Imagine.io MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Check Imagine Status, Create Render Job, Get Account, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Imagine.io as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The Imagine.io app connector for LlamaIndex is a standout in the Ecommerce category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Imagine.io. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Imagine.io?"
)
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 Imagine.io MCP Server
Connect your Imagine.io account to any AI agent and take full control of your 3D product visualization and automated content generation workflows through natural conversation.
LlamaIndex agents combine Imagine.io tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through 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
- Project & Product Orchestration — List and manage your entire portfolio of 3D products programmatically, retrieving detailed technical metadata and SKU IDs
- Content Job Intelligence — Programmatically trigger and monitor 3D generation jobs (Viewer, AR, 360° Spin) to maintain a perfectly coordinated output pipeline
- Asset Architecture Monitoring — Access real-time statuses for 3D processing and retrieve hosted asset URLs (Viewer URLs, images) directly through your agent
- Shared Content Discovery — Access generated outputs and their metadata directly through your agent for instant operational reporting
- Operational Monitoring — Verify account-level API connectivity and monitor content generation volume directly through your agent for perfectly coordinated service scaling
The Imagine.io 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.
All 10 Imagine.io tools available for LlamaIndex
When LlamaIndex connects to Imagine.io through Vinkius, your AI agent gets direct access to every tool listed below — spanning 3d-visualization, product-rendering, augmented-reality, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify Imagine API connectivity
The job runs asynchronously; check status with get_job_status. Start a 3D render job
io account details and render credit balance. Get account info
Check render job status
Get product details
Get scene details
List available materials
io account with their render status and metadata. List all 3D products
List product renders
List all scenes
Connect Imagine.io to LlamaIndex via MCP
Follow these steps to wire Imagine.io into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Imagine.io MCP Server
LlamaIndex provides unique advantages when paired with Imagine.io through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Imagine.io tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Imagine.io tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Imagine.io, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Imagine.io tools were called, what data was returned, and how it influenced the final answer
Imagine.io + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Imagine.io MCP Server delivers measurable value.
Hybrid search: combine Imagine.io real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Imagine.io 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 Imagine.io for fresh data
Analytical workflows: chain Imagine.io queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Imagine.io in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Imagine.io immediately.
"List all my 3D products in Imagine."
"Start a render for product 'PROD-4821'."
"Show me all scenes available for product placement."
Troubleshooting Imagine.io MCP Server with LlamaIndex
Common issues when connecting Imagine.io to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpImagine.io + LlamaIndex FAQ
Common questions about integrating Imagine.io MCP Server with LlamaIndex.