Etsy 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 Etsy as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 Etsy. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Etsy?"
)
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 Etsy MCP Server
Empower your AI agent to orchestrate your entire handmade and vintage marketplace ecosystem with Etsy, the global destination for unique and creative goods. By connecting Etsy to your agent, you transform complex shop management into a natural conversation. Your agent can instantly list your active inventory, audit recent customer reviews, and retrieve order receipts without you ever touching a dashboard. Whether you are an independent artisan or a high-volume seller, your agent acts as a real-time shop operator, ensuring your listings are always optimized and your customers are well-served.
LlamaIndex agents combine Etsy 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
- Inventory Auditing — List all listings in your shop and retrieve detailed metadata, including pricing, state, and URLs.
- Order Management — Browse shop receipts to maintain a clear view of your recent sales and fulfillment status.
- Review Oversight — List all customer reviews for your shop to stay on top of your brand reputation and feedback.
- Listing Governance — Update listing titles and descriptions through natural language to keep your catalog current.
- Market Intelligence — Search for active listings across the Etsy platform to find inspiration or monitor competition.
The Etsy 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 Etsy to LlamaIndex via MCP
Follow these steps to integrate the Etsy 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 Etsy
Why Use LlamaIndex with the Etsy MCP Server
LlamaIndex provides unique advantages when paired with Etsy through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Etsy tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Etsy tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Etsy, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Etsy tools were called, what data was returned, and how it influenced the final answer
Etsy + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Etsy MCP Server delivers measurable value.
Hybrid search: combine Etsy real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Etsy 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 Etsy for fresh data
Analytical workflows: chain Etsy queries with LlamaIndex's data connectors to build multi-source analytical reports
Etsy MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Etsy to LlamaIndex via MCP:
get_listing
Get details for a specific listing
get_me
Get authenticated user and application info from Etsy
get_receipt
Get details for a specific receipt
get_shop
Get details for a specific Etsy shop
list_shop_listings
List listings for a specific shop
list_shop_receipts
List receipts (orders) for a shop
list_shop_reviews
List reviews for a shop
list_shop_sections
List sections for a shop
search_active_listings
Search for active listings on Etsy
update_listing
Update an Etsy listing
Example Prompts for Etsy in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Etsy immediately.
"List my active listings in shop ID xxxx."
"Show me the last 5 reviews for my Etsy shop."
"Search for active listings with keyword 'linen dress'."
Troubleshooting Etsy MCP Server with LlamaIndex
Common issues when connecting Etsy to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpEtsy + LlamaIndex FAQ
Common questions about integrating Etsy 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 Etsy 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 Etsy to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.