Beta The Ybug MCP server is here. Let your AI assistant read and triage your feedback. See how it works →
Ybug MCP server

Let your AI agent work through your feedback

Stop copying bug reports into chat. Connect your AI assistant to Ybug to pull in report details, investigate bugs in your repo and update feedback as you go.

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claude code — ybug mcp

Fix the checkout bug QA reported this morning.

get_feedback hkz92hg6sf · screenshot · browser · console

The promo handler reads cart.total before the totals request resolves.

update_feedback hkz92hg6sf → In progress

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From “it’s broken” to fixed, without the copy-paste

No pasting screenshots into a chat window. No re-typing which browser it happened on.

Skip the “which browser?” email

Your agent sees what the reporter saw: the screenshot, the page, their browser and screen size. It also reads the console errors they never saw. Nobody has to go back to the client with questions.

Know what to fix next

Ask what’s urgent on a project and get a short list back, right in your editor. No switching tabs, no scrolling through the board.

Don’t fix the same bug twice

Before it touches the code, your agent checks whether someone already reported it. Five clients hitting one broken button means one fix, not five.

Your team knows what changed

Your agent leaves a note on the report explaining the fix, so whoever picks it up next isn’t starting from zero. The client never sees it.

A board that keeps itself up to date

Your agent assigns reports, moves them to In progress and sets priorities as it works. The board stays current without anyone doing admin.

Hear what users are asking for

Suggestions and ratings come through too. Ask for a summary of last month’s feedback and walk into planning with the top requests.

From feedback to fix

Your agent does the legwork, you sign off

Ybug collects the report. Your coding agent reads it, looks for the cause in your repo and proposes a fix. You decide when it’s done.

1.

A client reports a bug

Right on your website. The screenshot, page and browser details come with it.

2.

You hand it to your agent

Point it at one report, or ask it to work through everything open on a project.

3.

Your agent finds the fix

It moves the report to In progress, digs into your code and leaves a note on what it changed.

4.

You review, then resolve

Check the change, then mark the report Resolved. If automatic replies are on, the client hears back.

Example prompt

“Work through the Open reports on the Acme project. Set each one to In progress, fix it here and leave an internal note on what changed. Don’t resolve anything until I’ve reviewed it.”

From report to repo

Start with the bug report, keep working in your repo

Ask your coding agent to read a report from Ybug and look for the cause in your code. Have it leave an internal note on the report so your team can follow what changed.

  • Pull in the report’s page, browser details and console log
  • Investigate in the repo you’re working on
  • Leave your findings on the original report
Example: a coding agent investigates a Ybug bug report and leaves an internal note on it

Put your bug reports to work

Three prompts to steal on your first day connected.

Prepare for a client call

“Summarize this week’s feedback on the Acme site and group it by page. Flag anything that’s a change request, not a bug.”

Investigate a bug

“Read the checkout report from yesterday and find the likely cause in this repo.”

Sort the new pile

“Review the reports since Friday. Suggest priorities, owners and likely duplicates, then apply the changes I approve with an internal note on each.”

Twelve tools, one endpoint

Your assistant finds all of them the moment it connects, and picks the right one on its own. You never type a tool name.

The nine read tools work on BASIC. The three that change a report need STARTUP or COMPANY, and so does recording network requests. Arguments and examples →

Connect your AI assistant

Add the server, sign in, ask it something. There’s no API key to paste.

1

Add the server

One URL, in your client’s connector or MCP settings. Nothing to install and nothing to run on your machine.

https://mcp.ybug.io/mcp

2

Sign in and approve

Your browser opens. Pick the team your assistant is allowed to see, then authorize.

It will be able to

  • Read feedback and bug reports
  • Make changes to feedback Startup
3

Try a prompt

If your project names come back, you’re connected.

“What feedback came in on Acme this week? Group it by page.”

Your data, your rules

Your assistant works with your permissions

Your assistant sees the projects you can access in the team you connect. It can only make changes your account is allowed to make. You can disconnect it at any time.

  • Review the requested permissions before granting access
  • Reporter and commenter email fields aren’t included
  • Comments added through MCP are internal. Status changes can trigger the automatic replies you’ve enabled
  • Screenshot and video links expire after about an hour
  • Revoke any assistant from Connected apps in your account
The Ybug consent screen where you review the requested permissions before an assistant gets access

Frequently asked questions

What is an MCP server?

MCP (Model Context Protocol) is an open standard that lets AI assistants and agents use outside tools. The Ybug MCP server gives yours twelve tools for reading and triaging your feedback. Ybug hosts it, so there’s nothing to install.

Which AI assistants and coding agents work with it?

Claude, ChatGPT, Claude Code, Codex, Cursor, GitHub Copilot in VS Code and any other client that supports remote MCP servers with OAuth sign-in. The docs have a setup guide for each.

How do I connect Ybug to Claude Code, Cursor or ChatGPT?

Add the Ybug server URL in your client’s connector or MCP settings, then sign in with your Ybug account and approve access. There’s no API key to copy.

Which plans include MCP?

Every paid plan, at no extra charge. BASIC gets the read-only tools; STARTUP and COMPANY add the tools that make changes. MCP isn’t available on FREE, and the 10-day free trial includes MCP for whichever plan you pick. Compare plans.

What can the assistant see?

The projects and feedback your Ybug account can access in the connected team, including page and browser details, console logs, network requests, comments and screenshot links. Reporter and commenter email fields aren’t included, but text people typed into a report or comment is. Request URLs come through as the page sent them, query string included.

Can my AI agent see the screenshot?

It gets a link to the screenshot. Whether it opens the image depends on your client and model, but the page, browser and screen size always come through as text.

Can it delete anything?

No. There’s no delete tool. On STARTUP and COMPANY, it can change a report’s status, priority, type, assignee and tags, and add internal comments. On BASIC, it can only read.

Should I use the MCP server or the REST API?

Use the MCP server when a person is in the loop, like triaging in a chat or handing a report to a coding agent. Use the REST API for scripts and apps that run on their own.

How do I disconnect an assistant?

Open Connected apps in your Ybug account settings and click Disconnect. Access to that team ends right away.

Give your agent its next bug report

Connect Ybug and choose a report to work through.

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