MCP Server for User Feedback: Let AI Agents Read What Your Users Think

What if your AI coding assistant could read your user feedback and suggest what to build next? With Corvura's MCP server, it can.

What is MCP?

MCP (Model Context Protocol) is an open standard that lets AI tools connect to external data sources. Think of it like an API, but designed specifically for AI assistants. Instead of manually copy-pasting feedback into your AI chat, the AI can query it directly.

Corvura ships with a built-in MCP server. If you're using Claude, Cursor, Windsurf, or any other MCP-compatible tool, you can connect it to your Corvura account and let it access your feedback data.

What can the AI do with your feedback?

Once connected, your AI assistant can:

• List your projects — See all the sites and apps you're tracking
• Search feedback — Find feedback mentioning specific features or bugs
• Filter by type — Pull only bug reports, or only feature ideas
• Read individual feedback — Get the full context of any feedback item

Here's what it looks like in practice:

You: "What are users saying about the checkout page?"

Claude: I found 8 feedback items about checkout:
- 5 problems: "Payment fails on mobile Safari", "Shipping cost not shown"...
- 3 ideas: "Add Apple Pay", "Guest checkout option"...

Based on the feedback, the mobile Safari payment bug seems most urgent.
Want me to investigate the payment handler code?

Setting it up

1. Get your API key

Log into Corvura, go to your project settings, and generate an API key.

2. Configure your AI tool

Add Corvura as an MCP server in your AI tool's configuration. For Claude Code, add this to your MCP config:

{
  "mcpServers": {
    "feedbackhoney": {
      "url": "https://corvura.com/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

For Cursor or Windsurf, check their MCP documentation for the configuration format.

3. Start asking questions

That's it. Your AI assistant can now query your feedback data. Try prompts like:

• "What feedback have we received this week?"
• "Are there any bug reports about the dashboard?"
• "What features are users requesting most?"
• "Summarize the feedback for my project"

Available MCP tools

Corvura exposes four MCP tools:

Tool	Description
list_projects	List all your projects
list_feedbacks	Get feedbacks for a project (with filters)
get_feedback	Get details of a single feedback item
search_feedbacks	Search feedback content by keyword

Why this matters for indie hackers

As a solo developer or small team, you don't have time to manually review every piece of feedback. But you also can't afford to ignore your users. MCP bridges this gap:

1. Faster triage — Ask your AI to categorize and prioritize feedback
2. Context-aware coding — The AI can reference real user pain points while writing code
3. Pattern detection — AI is great at spotting trends across dozens of feedback items
4. Natural language queries — No need to build dashboards or write SQL

This is a Pro feature

The MCP server is available on the Pro plan ($5/month). The free tier includes the feedback widget and basic analytics — more than enough to get started. Upgrade when you're ready to let AI help you prioritize.

Sign up and try it.