Fera.ai Connector for AI agents.
12 live capabilities
Manage customer reviews and social proof across all your stores.
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Why people use Fera.ai
Fera.ai Customer Review Management for E-commerce Brands
With this Connector, you can just ask your agent to summarize the last 50 reviews or pull the latest customer photos. You get a clear view of your brand's reputation in seconds. It turns a multi-tab chore into a simple conversation.
What Vinkius changes
You get a direct line to your brand's social proof without leaving your chat window.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Analyzing a product slump
A manager needs to know why a product is getting 3-star reviews.
- Real-world use case 02
Sourcing ad content
A social media lead needs content for a new post.
- Real-world use case 03
Resolving a customer complaint
A support rep is dealing with a frustrated buyer.
Complete set · 12capabilities
The complete Fera.ai capability set.
These are the exact actions your AI can choose when you ask it to work with Fera.ai.
01—04
4 capabilities in this set.
Part of 12 available through Fera.ai.
- 01 Capability
List products
See every product that is currently being tracked by your account. Use it to get a bird's eye view of your catalog.
- 02 Capability
List reviews
Get a full list of every customer review for your store. This is your primary source for all feedback.
- 03 Capability
List stores
See all the different stores managed under your partner or business account. It's the best way to manage multi-store brands.
- 04 Capability
Get account info
See your current Fera account status and subscription details. It's a quick way to check your plan limits.
05—08
4 capabilities in this set.
Part of 12 available through Fera.ai.
- 05 Capability
Get customer
Pull up the profile details for a specific person who left feedback. This helps you personalize your engagement with your fans.
- 06 Capability
Get me
Check which API token identity is currently active. Use this to verify your connection status.
- 07 Capability
Get product rating
Get the average score and total review count for a specific product. It's great for checking performance on the fly.
- 08 Capability
Get review
Fetch the full text and metadata for one specific customer review. This lets you see exactly what a buyer said.
09—12
4 capabilities in this set.
Part of 12 available through Fera.ai.
- 09 Capability
List site content
See all the social proof widgets and content currently live on your site. Use it to audit your public-facing content.
- 10 Capability
List customers
Get a list of everyone who has submitted feedback to your brand. It's perfect for seeing your active audience.
- 11 Capability
List external integrations
See which platforms like Shopify or Wix are currently connected. This keeps your tech stack organized.
- 12 Capability
List media
Pull a list of all customer-submitted photos and videos. You can use these for your own marketing content.
Set up in minutes
One URL. Then ask Fera.ai to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Fera.ai from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_O9WGsLTmhMYKyvfttyhkSaIujGYouxJ0SUHyQ0KV/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Fera.ai, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Fera.ai for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_O9WGsLTmhMYKyvfttyhkSaIujGYouxJ0SUHyQ0KV/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Fera.ai URL.
- Step 03
Save and start
Save the connection and enable Fera.ai in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"feraai": {
"url": "https://edge.vinkius.com/vk_preview_O9WGsLTmhMYKyvfttyhkSaIujGYouxJ0SUHyQ0KV/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Fera.ai
Open Agent mode in chat and ask: "Using Fera.ai, help me...". 12 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"feraai": {
"url": "https://edge.vinkius.com/vk_preview_O9WGsLTmhMYKyvfttyhkSaIujGYouxJ0SUHyQ0KV/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Fera.ai
Ask Copilot: "Using Fera.ai, help me...". 12 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"feraai": {
"url": "https://edge.vinkius.com/vk_preview_O9WGsLTmhMYKyvfttyhkSaIujGYouxJ0SUHyQ0KV/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Fera.ai
Open Cascade and ask: "Using Fera.ai, help me...". 12 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"feraai": {
"url": "https://edge.vinkius.com/vk_preview_O9WGsLTmhMYKyvfttyhkSaIujGYouxJ0SUHyQ0KV/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Fera.ai
Ask Cline: "Using Fera.ai, help me...". 12 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add feraai --transport http "https://edge.vinkius.com/vk_preview_O9WGsLTmhMYKyvfttyhkSaIujGYouxJ0SUHyQ0KV/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Fera.ai
Ask Claude: "Using Fera.ai, show me...". 12 tools are ready
Where the request belongs
Work Fera.ai can move forward.
Fera.ai is for e-commerce owners and marketing leads who are drowning in feedback and need a faster way to see what customers are saying without manual exports.
E-commerce Manager
Pulls rating data for new product launches to see how they're landing.
Customer Support Lead
Quickly finds specific review details to help resolve a customer's issue.
Marketing Analyst
Grabs UGC photos and sentiment data to build out social media campaigns.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Manage customer reviews and social proof via Okendo. track ratings, questions, and product feedback directly from your AI agent.
GatherUp
Manage customer reviews, track feedback, and automate review requests via AI agents with GatherUp.
Cloutly
All-in-one review management platform that helps businesses collect, manage, and respond to reviews from multiple sources.
Endorsal Testimonials
Equip your AI agent to manage testimonials, track display widgets, and approve reviews via the Endorsal API.
Bring your own AI
Change the model, client or framework. Keep Fera.ai connected.
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ChatGPT -
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Cursor -
VS Code -
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Vercel AI SDK
Before you connect
Questions about Fera.ai.
The practical details behind the request, access and result.
Can Fera.ai help me manage reviews for multiple stores?
Yes, Fera.ai lets you see and manage data across all the different stores managed under your account in one place. It's built for multi-store brands that need a unified view of their social proof.
How do I get customer photos using Fera.ai?
You can ask your agent to list all customer-submitted photos and videos. This gives you instant access to your user-generated content for marketing or review purposes.
Can I see my subscription status with Fera.ai?
Yes, you can ask your agent to check your account and subscription details. This helps you stay on top of your plan limits and account status without logging in.
Does Fera.ai work with Shopify?
Fera.ai connects with major platforms like Shopify, Wix, and BigCommerce. You can even ask your agent to check which of these integrations are currently active.
How do I see who left a review using Fera.ai?
You can ask your agent to pull up the profile details for any specific customer who left feedback. This helps you understand your audience better and personalize your responses.
Can Fera.ai show me my active integrations?
Yes, you can ask your agent to list your active external integrations. This is a quick way to see which platforms are currently linked to your Fera.ai account.
How do I obtain my Fera.ai Private API Key?
Log in to your Fera.ai dashboard, navigate to Configuration > API Keys, and look for your 'Secret Key'. Do not share this key with anyone.
Can I see photos submitted by customers?
Yes! Use the list_media capability to retrieve all user-generated photos and videos submitted alongside reviews for your store.
Does this work with my Shopify store?
Absolutely. Fera.ai integrates deeply with Shopify. As long as you provide the API key for your Fera account, you can manage reviews for your Shopify-connected stores.
One connection away
Give your agent a direct line to Fera.ai.
Connect Fera.ai once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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