- CONTEXT
- ACCURACY
- EFFICIENCY
- HUMAN
Short answer
How can I use AI to research customer reviews?
Your AI uses Fera.ai to pull specific customer profiles and their entire review history. This lets you see exactly what a user has said in the past so you can tailor your support responses. You'll find the specific steps and prompts below.
The results of your research.
What you get from the data.
Once connected, your AI turns raw review data into actionable context.
CONTEXT
Complete user history
The AI pulls every review a specific customer has left. You'll see patterns in their feedback instead of just looking at one isolated comment.
ACCURACY
Verified customer profiles
The AI identifies the specific person behind the feedback. You get the exact profile details needed to address them correctly.
EFFICIENCY
Faster support triage
Instead of digging through dashboards, you ask your agent for the facts. It finds the relevant reviews in seconds.
HUMAN
Personalized replies
The AI provides the data, but you decide how to talk to the customer. You use the history to write a response that actually feels human.
The workflow
What your AI does when a review comes in.
The AI handles the data gathering so you can focus on the conversation.
Identify the user
The AI looks up the specific person reaching out to get their account details.
get_customerGather feedback history
The agent pulls a list of all previous comments left by that customer.
list_reviewsAnalyze specific comments
The AI digs into a particular review to understand the exact sentiment or issue mentioned.
get_reviewSummarize findings
The agent combines the profile and review data into a brief summary for you to read.
get_customerlist_reviews
Try it
Copy these to start.
Use these prompts to begin your research.
Starting points
These are templates. Swap out the names and IDs with the actual customer or review details you are looking at.
Fera.ai Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_O9WGsLTmhMYKyvfttyhkSaIujGYouxJ0SUHyQ0KV/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Fera.ai capabilities are ready to use.
{
"mcpServers": {
"feraai-mcp": {
"url": "https://edge.vinkius.com/vk_preview_O9WGsLTmhMYKyvfttyhkSaIujGYouxJ0SUHyQ0KV/mcp"
}
}
}Get the profile and review history for customer ID 98765.
List all reviews from the user with email alex@example.com.
Summarize the feedback from review ID 44321 so I can respond.
What has this customer complained about in their last three reviews?
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Fera.ai once, then ask.
Just click the link to connect your account. Your credentials stay encrypted, and you can start asking questions immediately in your preferred AI client.
Connect Fera.ai to your AIFAQ
How this task behaves.
- 01
Can the AI reply to the reviews for me?
No. The AI only pulls the data and history. You are responsible for writing and sending the actual response.
- 02
Can the AI delete a customer review?
No. This MCP only has tools to read and list review data. It cannot modify or remove any content.
- 03
Does the AI see all reviews or just one?
It can do both. You can ask it to list all reviews for a user or fetch the details of one specific review.
- 04
How does the AI find the right customer?
It uses the customer identifiers you provide in your prompt to pull the correct profile.
- 05
Can I use this with Claude?
Yes. You can use this with any MCP-compatible client, including Claude, Cursor, or Windsurf.
More questions about Fera.ai? See everything the Fera.ai Connector can do
Connect Fera.ai to Claude, Cursor, ChatGPT & more
