Userback Connector for AI agents.
6 live capabilities
Manage visual bug reports and user feedback from your product.
Waiting for input…
Why people use Userback
Userback for managing visual bug reports
With this Connector, you just have a conversation. Ask for the latest reports on a specific page and get the data instantly. It keeps everything in one place so you can actually focus on fixing the code.
What Vinkius changes
You get a direct line to your user feedback without leaving your workflow.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Summarizing user complaints
A PM wants to know what users think of the new dashboard.
- Real-world use case 02
Logging bugs on the fly
A QA tester finds a bug during a call and tells the agent to create a new report for the Login project immediately.
- Real-world use case 03
Verifying project settings
A designer needs to see the specific project settings.
Complete set · 6capabilities
The complete Userback capability set.
These are the exact actions your AI can choose when you ask it to work with Userback.
01—03
3 capabilities in this set.
Part of 6 available through Userback.
- 01 Capability
Get feedback details
Pull the full text, screenshots, and metadata for a specific user report. This helps you see exactly what the user saw.
- 02 Capability
Get project details
Show the specific configuration and status of a Userback project. Use this to check which project a report belongs to.
- 03 Capability
List feedbacks
Grab a list of all feedback entries currently in your account. This gives you a bird's eye view of all user input.
04—06
3 capabilities in this set.
Part of 6 available through Userback.
- 04 Capability
List userback projects
Show every project you have set up for different parts of your product. It helps you organize your feedback spaces.
- 05 Capability
List account users
List everyone who has access to your Userback account for team visibility. Use this to see who is on your review team.
- 06 Capability
Create feedback entry
Let your agent submit a new bug report or suggestion directly to a project. This saves you from switching tabs to log a bug.
Set up in minutes
One URL. Then ask Userback to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Userback 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_SXdhrnFVVjmEdHcyXL9o7DSlSvwcKxkdQq2xKo7n/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 Userback, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Userback for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_SXdhrnFVVjmEdHcyXL9o7DSlSvwcKxkdQq2xKo7n/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 Userback URL.
- Step 03
Save and start
Save the connection and enable Userback in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"userback": {
"url": "https://edge.vinkius.com/vk_preview_SXdhrnFVVjmEdHcyXL9o7DSlSvwcKxkdQq2xKo7n/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 Userback
Open Agent mode in chat and ask: "Using Userback, help me...". 6 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"userback": {
"url": "https://edge.vinkius.com/vk_preview_SXdhrnFVVjmEdHcyXL9o7DSlSvwcKxkdQq2xKo7n/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 Userback
Ask Copilot: "Using Userback, help me...". 6 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"userback": {
"url": "https://edge.vinkius.com/vk_preview_SXdhrnFVVjmEdHcyXL9o7DSlSvwcKxkdQq2xKo7n/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 Userback
Open Cascade and ask: "Using Userback, help me...". 6 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"userback": {
"url": "https://edge.vinkius.com/vk_preview_SXdhrnFVVjmEdHcyXL9o7DSlSvwcKxkdQq2xKo7n/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 Userback
Ask Cline: "Using Userback, help me...". 6 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add userback --transport http "https://edge.vinkius.com/vk_preview_SXdhrnFVVjmEdHcyXL9o7DSlSvwcKxkdQq2xKo7n/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 Userback
Ask Claude: "Using Userback, show me...". 6 tools are ready
Where the request belongs
Work Userback can move forward.
Product Managers who are tired of digging through spreadsheets to find out what users actually hate about the new UI, and QA Engineers who need to log bugs from conversations directly into the tracking system.
Product Manager
They use this to quickly pull user complaints into a summary during sprint planning.
QA Engineer
They use this to log bugs from Slack conversations directly into the project dashboard.
Design Lead
They use this to check visual bug reports and verify user pain points on specific pages.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Applitools
Bring AI-powered visual testing to your AI agent. inspect test batches, review UI diffs, and manage your visual baselines naturally.
BugHerd
Manage BugHerd projects, tasks, and comments through AI Agents.
Formbricks
Capture user feedback with open-source surveys that trigger at the right moment inside your product for actionable insights.
Frill
Manage product feedback, roadmaps, and announcements via Frill. create ideas, list updates, and organize categories directly from your AI agent.
Bring your own AI
Change the model, client or framework. Keep Userback connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Userback.
The practical details behind the request, access and result.
How does Userback MCP help with bug tracking?
It lets your AI agent pull and manage visual bug reports directly. You can ask for specific reports, see the screenshots users provided, and check the status of fixes without leaving your chat.
Can I create reports with this Connector?
Yes, you can tell your agent to create a new feedback entry or bug report. It will submit the details directly to the project you specify.
Does this work with my current projects?
It connects to your existing Userback account, so it works with all the projects you have already set up for your product.
Can I see the screenshots users sent?
Yes, the Connector can pull the visual data and screenshots from specific reports so your agent can describe them to you or provide context.
How do I connect Userback to my AI client?
You just need to subscribe to the Connector and add your Userback API token to your client's configuration. Once connected, your agent can access all your feedback data.
Who can use this Connector?
It's designed for product managers, designers, and QA teams who need to manage user feedback and visual bug reports more efficiently.
Can I filter feedback by project ID?
Yes! Use the list_feedbacks capability and provide the optional project_id parameter to retrieve entries only for that specific project.
How do I see the comments on a specific feedback item?
Run the get_feedback_details query with the unique Feedback ID. Your agent will retrieve the complete metadata, including any internal or user comments.
Is it possible to create a new bug report via AI?
Absolutely. Use the create_feedback_entry action. Provide the Project ID, a title, and an optional comment to log a new entry in your Userback account.
One connection away
Give your agent a direct line to Userback.
Connect Userback once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available