Style3D MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Style3D 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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Style3D. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in Style3D?"
)
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 Style3D MCP Server
Connect Style3D to your AI agent and manage your entire digital fashion pipeline through natural conversation.
LlamaIndex agents combine Style3D tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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 Management — List and inspect 3D fashion projects with all metadata
- Garment Browsing — Explore garment libraries, view details, and browse 3D assets
- Fabric Database — Access the fabric library with physical simulation properties
- Cloud Rendering — Trigger high-quality garment renders directly from the AI agent
- Asset Management — Browse and manage 3D asset files across projects
- Style Library — Explore saved style presets and configurations
The Style3D MCP Server exposes 9 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 Style3D to LlamaIndex via MCP
Follow these steps to integrate the Style3D 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 9 tools from Style3D
Why Use LlamaIndex with the Style3D MCP Server
LlamaIndex provides unique advantages when paired with Style3D through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Style3D tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Style3D tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Style3D, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Style3D tools were called, what data was returned, and how it influenced the final answer
Style3D + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Style3D MCP Server delivers measurable value.
Hybrid search: combine Style3D real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Style3D 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 Style3D for fresh data
Analytical workflows: chain Style3D queries with LlamaIndex's data connectors to build multi-source analytical reports
Style3D MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect Style3D to LlamaIndex via MCP:
get_fabric
Get details of a specific fabric
get_garment
Get details of a specific garment
get_project
Get details of a specific project
list_assets
List assets in a project
list_fabrics
List available fabrics
list_garments
List garments in a project
list_projects
List all 3D design projects
list_styles
List available design styles
render_garment
Render a 3D garment visualization
Example Prompts for Style3D in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Style3D immediately.
"Show me all garments in the Spring Collection project."
Troubleshooting Style3D MCP Server with LlamaIndex
Common issues when connecting Style3D to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpStyle3D + LlamaIndex FAQ
Common questions about integrating Style3D 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 Style3D 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 Style3D to LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.