MerchantSpring MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect MerchantSpring through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="MerchantSpring Assistant",
instructions=(
"You help users interact with MerchantSpring. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from MerchantSpring"
)
print(result.final_output)
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 MerchantSpring MCP Server
Connect your MerchantSpring account to any AI agent and take full control of your e-commerce performance and cross-marketplace data through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from MerchantSpring through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries MerchantSpring, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Unified Reporting — Retrieve aggregated sales summaries and performance metrics across all your connected marketplaces
- Store Orchestration — List all connected store accounts and fetch detailed metadata and health statuses
- Order Management — List and inspect order histories for specific stores including Amazon, eBay, and more
- Catalog Visibility — Access product listings and detailed inventory reports for your multi-channel operations
- Alert Monitoring — Track active marketplace notifications and store alerts directly from your agent
The MerchantSpring MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 MerchantSpring to OpenAI Agents SDK via MCP
Follow these steps to integrate the MerchantSpring MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from MerchantSpring
Why Use OpenAI Agents SDK with the MerchantSpring MCP Server
OpenAI Agents SDK provides unique advantages when paired with MerchantSpring through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
MerchantSpring + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the MerchantSpring MCP Server delivers measurable value.
Automated workflows: build agents that query MerchantSpring, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries MerchantSpring, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through MerchantSpring tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query MerchantSpring to resolve tickets, look up records, and update statuses without human intervention
MerchantSpring MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect MerchantSpring to OpenAI Agents SDK via MCP:
get_inventory_report
Get inventory status report
get_sales_summary
Get aggregated sales summary
get_store_details
Get details for a specific store
get_store_health
Get store health status
list_marketplaces
g. Amazon, eBay). List all supported marketplaces
list_merchant_alerts
List all marketplace alerts
list_store_orders
List orders for a specific store
list_store_products
List products for a specific store
list_store_promotions
List active store promotions
list_stores
List all connected stores
Example Prompts for MerchantSpring in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with MerchantSpring immediately.
"Show me a sales summary for all my stores this month."
"List all products for store ID 'S_98765'."
"Check health status for my connected stores."
Troubleshooting MerchantSpring MCP Server with OpenAI Agents SDK
Common issues when connecting MerchantSpring to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
MerchantSpring + OpenAI Agents SDK FAQ
Common questions about integrating MerchantSpring MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect MerchantSpring 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 MerchantSpring to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.