eBay Seller MCP Server for Pydantic AI 12 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect eBay Seller 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 Seller "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in eBay Seller?"
)
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 Seller MCP Server
Connect eBay Seller to any AI agent via MCP.
How to Connect eBay Seller to Pydantic AI via MCP
Follow these steps to integrate the eBay Seller 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 12 tools from eBay Seller with type-safe schemas
Why Use Pydantic AI with the eBay Seller MCP Server
Pydantic AI provides unique advantages when paired with eBay Seller 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 Seller 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 Seller connection logic from agent behavior for testable, maintainable code
eBay Seller + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the eBay Seller MCP Server delivers measurable value.
Type-safe data pipelines: query eBay Seller with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple eBay Seller tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query eBay Seller and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock eBay Seller responses and write comprehensive agent tests
eBay Seller MCP Tools for Pydantic AI (12)
These 12 tools become available when you connect eBay Seller to Pydantic AI via MCP:
create_listing
Requires SKU (from inventory), listing title, category ID, pricing, format (FIXED_PRICE or AUCTION), and return/shipping policies. Returns listingId for management. Use this to make your inventory products visible to buyers. Create a new eBay listing for an inventory item
delete_inventory
Note: you cannot delete inventory items that have active listings. Use this to clean up discontinued products. Delete an inventory item by SKU
delete_listing
If there are active bids (auction), this may violate eBay policies. For fixed-price, this simply removes the item from sale. Use this to quickly remove unwanted inventory from the marketplace. Delete/end an eBay listing
get_account_info
Use this to verify account status or display seller metrics. Get your eBay seller account information and feedback score
get_inventory_item
Use this to verify product details before updating or creating listings. Get detailed information for a specific inventory item by SKU
get_order_details
Use this to verify order contents before packing and shipping. Get detailed information for a specific order
get_orders
Optional filter parameter accepts criteria like "creationDate:[2024-01-01..2024-12-31]", "orderFulfillmentStatus:NOT_STARTED". Use this to manage order fulfillment pipeline. List recent orders with optional filtering
list_inventory
Each item includes SKU, title, condition, and available quantity. Use optional limit (default 50) and offset for pagination. Essential for reviewing stock levels. List all inventory items with SKUs, titles, and available quantities
list_listings
Each listing includes title, price, status, listing ID, and associated SKU. Use this to review what is currently live on eBay or recently ended. List active eBay listings for your store
ship_order
Updates buyer with shipping notification. Requires orderId, lineItemId, carrier name (e.g., "USPS", "FedEx", "UPS"), and tracking number. Use this to confirm shipment and complete the order cycle. Mark an order as shipped with carrier and tracking number
update_inventory
Requires SKU, title, condition, and product details (brand, MPN, UPC/EAN, description). Also updates stock quantity and pricing. Use this to manage your product catalog before listing items for sale. Update or create an inventory item with product details and stock quantity
update_listing
Note: certain fields cannot be changed once listing is active. Use this to adjust pricing or correct listing errors. Update an existing eBay listing (price, title, details)
Troubleshooting eBay Seller MCP Server with Pydantic AI
Common issues when connecting eBay Seller to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aieBay Seller + Pydantic AI FAQ
Common questions about integrating eBay Seller 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 Seller with your favorite client
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Google's framework for building production AI agents.
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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 Seller to Pydantic AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
