Junip 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 Junip 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="Junip Assistant",
instructions=(
"You help users interact with Junip. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Junip"
)
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 Junip MCP Server
Empower your AI agents with Junip's scalable product review platform. This MCP server allows you to list and retrieve product reviews, track customer questions and answers, manage display themes, and view review request campaigns directly through the Junip API. Ideal for automating social proof and customer feedback analysis for Shopify stores.
The OpenAI Agents SDK auto-discovers all 10 tools from Junip through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Junip, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
The Junip 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 Junip to OpenAI Agents SDK via MCP
Follow these steps to integrate the Junip 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 Junip
Why Use OpenAI Agents SDK with the Junip MCP Server
OpenAI Agents SDK provides unique advantages when paired with Junip 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
Junip + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Junip MCP Server delivers measurable value.
Automated workflows: build agents that query Junip, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Junip, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Junip tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Junip to resolve tickets, look up records, and update statuses without human intervention
Junip MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Junip to OpenAI Agents SDK via MCP:
get_account
Use to verify account identity and access levels. Retrieves details about your Junip account
get_product
Essential for providing a summary of a product's performance within the store. Retrieves details for a specific product
get_question
Use this before crafting an official response. Retrieves details for a specific question
get_review
Returns metadata, custom question responses, and photo/video links (if applicable). Use this when analyzing a specific customer testimonial. Retrieves details for a specific review
list_answers
Use this to audit response quality and ensure all customer queries are being addressed correctly. Lists all answers to questions
list_campaigns
Use this to analyze active efforts to collect new customer reviews and feedback. Lists active review request campaigns
list_products
Includes product names, IDs, and aggregate review metrics. Use this to identify which items have reviews. Lists all products in your store
list_questions
Returns question text, status, and associated products. Use this to find customer inquiries that require a merchant response. Lists all customer questions
list_reviews
Returns ratings, review content, and reviewer names. Use this to monitor brand sentiment and identify high-quality social proof. Lists all product reviews
list_themes
Useful for auditing the visual presentation of reviews on the storefront. Lists all review display themes
Example Prompts for Junip in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Junip immediately.
"List all recent product reviews in Junip."
"Show me the questions asked for product ID '123'."
"Check my active review campaigns."
Troubleshooting Junip MCP Server with OpenAI Agents SDK
Common issues when connecting Junip to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Junip + OpenAI Agents SDK FAQ
Common questions about integrating Junip 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 Junip 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.
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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 Junip to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.