eBay Shopper 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 eBay Shopper 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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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 eBay Shopper. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in eBay Shopper?"
)
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 eBay Shopper MCP Server
Connect eBay Shopper to any AI agent via MCP.
How to Connect eBay Shopper to LlamaIndex via MCP
Follow these steps to integrate the eBay Shopper 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 eBay Shopper
Why Use LlamaIndex with the eBay Shopper MCP Server
LlamaIndex provides unique advantages when paired with eBay Shopper through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine eBay Shopper tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain eBay Shopper tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query eBay Shopper, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what eBay Shopper tools were called, what data was returned, and how it influenced the final answer
eBay Shopper + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the eBay Shopper MCP Server delivers measurable value.
Hybrid search: combine eBay Shopper real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query eBay Shopper 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 eBay Shopper for fresh data
Analytical workflows: chain eBay Shopper queries with LlamaIndex's data connectors to build multi-source analytical reports
eBay Shopper MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect eBay Shopper to LlamaIndex via MCP:
get_categories
Optional parentId filters to subcategories. Use this to discover available categories or navigate the eBay catalog structure. List eBay product categories and subcategories
get_item_compatibility
Essential for auto parts buyers to verify fitment before purchase. Get vehicle compatibility information for an auto parts listing
get_item_details
The itemId is obtained from search results. Use this to get complete product specs before purchasing or comparing. Get full details for a specific eBay item by its ID
get_item_rating
Use this for a quick quality assessment without reading individual reviews. Get aggregated rating summary for an eBay item
get_item_reviews
Returns rating (1-5), review text, reviewer name, and date. Use this to assess product quality and customer satisfaction before buying. Get customer reviews and ratings for a specific eBay item
get_merchant_item_details
Similar to get_item_details but with merchant-focused data. Use this for inventory research. Get item details from the merchant perspective
get_shipping_estimate
Use this to calculate total cost before buying. Get estimated shipping cost and delivery date for an item
search_by_category
g., Electronics, Fashion, Motors). Requires categoryId from get_categories endpoint. Useful for browsing specific sections of eBay. Search for items within a specific eBay category
search_by_image
Useful when you know what something looks like but not its name or model. Returns visually similar items with prices and details. Search eBay for visually similar items using an image URL
search_items
Returns a list of matching items with title, price, condition, image URL, and item ID. Use optional parameters: limit (max 10), offset (pagination), sort (BestMatch, price, etc.). Ideal for finding products, comparing prices, or discovering available inventory. Search for items on eBay by keyword, brand, or product name
Troubleshooting eBay Shopper MCP Server with LlamaIndex
Common issues when connecting eBay Shopper to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpeBay Shopper + LlamaIndex FAQ
Common questions about integrating eBay Shopper 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 eBay Shopper with your favorite client
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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 eBay Shopper to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.