Fera.ai MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Fera.ai 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="Fera.ai Assistant",
instructions=(
"You help users interact with Fera.ai. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Fera.ai"
)
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 Fera.ai MCP Server
Connect your Fera.ai account to any AI agent and take full control of your customer reviews, ratings, and user-generated content (UGC) through natural conversation.
The OpenAI Agents SDK auto-discovers all 12 tools from Fera.ai through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Fera.ai, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Review Orchestration — List all customer reviews and fetch detailed sentiment metadata for specific feedback natively
- Rating Intelligence — Query aggregated product ratings and review counts to analyze catalog performance flawlessly
- UGC Monitoring — List and inspect customer-submitted photos and videos to manage your visual social proof natively
- Customer Insights — Access detailed profiles of customers who have submitted feedback to personalize engagement synchronously
- Multi-Store Management — List and query data across all stores managed under your partner or business account flawlessly
- Integration Audit — Monitor active external integrations with platforms like Shopify, Wix, and BigCommerce directly from the cloud
- Identity Context — Verify your API secret key identity and account subscription details through the agent flawlessly
The Fera.ai MCP Server exposes 12 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 Fera.ai to OpenAI Agents SDK via MCP
Follow these steps to integrate the Fera.ai 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 12 tools from Fera.ai
Why Use OpenAI Agents SDK with the Fera.ai MCP Server
OpenAI Agents SDK provides unique advantages when paired with Fera.ai 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
Fera.ai + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Fera.ai MCP Server delivers measurable value.
Automated workflows: build agents that query Fera.ai, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Fera.ai, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Fera.ai tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Fera.ai to resolve tickets, look up records, and update statuses without human intervention
Fera.ai MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Fera.ai to OpenAI Agents SDK via MCP:
get_account_info
Get Fera account and subscription details
get_customer
Get details for a specific customer profile
get_me
Get current API token identity info
get_product_rating
Get aggregated rating and review count for a product
get_review
Get details for a specific review
list_customers
List customers who have submitted feedback
list_external_integrations
List active external integrations (Shopify, etc.)
list_media
List customer-submitted photos and videos (UGC)
list_products
List products being tracked by Fera
list_reviews
List all customer reviews for your store
list_site_content
List social proof content and widgets
list_stores
List stores managed under your account
Example Prompts for Fera.ai in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Fera.ai immediately.
"List the latest 5 reviews for my store."
"Show me the average rating for product SKU-123."
"Check my active integrations on Fera."
Troubleshooting Fera.ai MCP Server with OpenAI Agents SDK
Common issues when connecting Fera.ai to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Fera.ai + OpenAI Agents SDK FAQ
Common questions about integrating Fera.ai 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 Fera.ai 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 Fera.ai to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.