eBay Shopper MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect eBay Shopper through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to eBay Shopper "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in eBay Shopper?"
)
print(result.data)
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 Pydantic AI via MCP
Follow these steps to integrate the eBay Shopper MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
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 with type-safe schemas
Why Use Pydantic AI with the eBay Shopper MCP Server
Pydantic AI provides unique advantages when paired with eBay Shopper through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your eBay Shopper integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your eBay Shopper connection logic from agent behavior for testable, maintainable code
eBay Shopper + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the eBay Shopper MCP Server delivers measurable value.
Type-safe data pipelines: query eBay Shopper with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple eBay Shopper tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query eBay Shopper and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock eBay Shopper responses and write comprehensive agent tests
eBay Shopper MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect eBay Shopper to Pydantic AI 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 Pydantic AI
Common issues when connecting eBay Shopper to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aieBay Shopper + Pydantic AI FAQ
Common questions about integrating eBay Shopper MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect eBay Shopper 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 eBay Shopper to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
