feedbug-mcp

feedbug-mcp

Read visual bug reports from Feedbug in your AI coding agent: screenshot, console logs, failed network requests, session replay and the DOM context of the element the tester clicked. Trace the bug to its source file, comment and resolve without leaving the editor.

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README

@feedbug/mcp

npm version license feedbug-mcp MCP server

Visual bug reports your AI agent can actually fix.

Feedbug lets your testers report bugs by clicking on them. Each report captures a screenshot, the console logs, the failed network requests, a session replay, and the HTML/DOM context of the element they clicked, then opens an issue in your Linear project or your GitHub repository automatically. When a code source is connected, the issue also carries a link to the source file the bug most likely came from.

This MCP server plugs that data straight into your AI coding agent (Claude Code, Cursor, Windsurf, VS Code). The agent reads the bug, gets the exact CSS selector and component path, traces it to the source file, proposes the patch, and marks the bug resolved.

Full write-up of the product side: feedbug.app/mcp-bug-tracking.

Point at the bug. Ship the fix.

Quick start

npx @feedbug/mcp init

The installer asks for your client and your project key, then writes the config for you. Non-interactive:

npx @feedbug/mcp init --client claude pk_your_project_key

Supported clients: claude (Claude Code), cursor, windsurf. Grab your project key (pk_...) from your project page on feedbug.app.

Restart your client and the tools are live.

Manual configuration

Add this to your client's MCP config (.mcp.json, .cursor/mcp.json, .windsurf/mcp.json, etc.):

{
  "mcpServers": {
    "feedbug": {
      "command": "npx",
      "args": ["-y", "@feedbug/mcp"],
      "env": {
        "FEEDBUG_API_URL": "https://api.feedbug.app",
        "FEEDBUG_PROJECT_KEY": "pk_your_project_key"
      }
    }
  }
}

Run with Docker

docker build -t feedbug-mcp .
{
  "mcpServers": {
    "feedbug": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "-e", "FEEDBUG_PROJECT_KEY", "feedbug-mcp"],
      "env": {
        "FEEDBUG_PROJECT_KEY": "pk_your_project_key"
      }
    }
  }
}

Environment variables

Variable Required Default Description
FEEDBUG_PROJECT_KEY Yes none Your project key (pk_...), from the Feedbug dashboard.
FEEDBUG_API_URL No https://api.feedbug.app Override the API base URL (self-hosting / staging).

Tools

Every tool accepts either the feedback UUID or the tracker identifier (e.g. PRE-13 on Linear, owner/repo#42 on GitHub).

Tool What it does
feedbug_list_bugs List reported bugs (filter by status or page URL).
feedbug_get_bug Full details: screenshot, viewport, user agent, HTML context.
feedbug_get_html_context DOM context of the clicked element: CSS selector path, framework component path (Vue/React/Angular/Svelte), attributes, ancestors, siblings. This is what lets the agent find the source.
feedbug_get_diagnostics Browser diagnostics: page URL, viewport, user agent, reporter.
feedbug_get_replay Session replay URL (last 30 seconds before the report).
feedbug_add_comment Add a comment to the bug's Linear issue.
feedbug_resolve_bug Mark a bug resolved once it's fixed.

How it works

When a tester clicks a bug, the Feedbug widget snapshots the DOM around the clicked element: the CSS selector path, the framework component name when detectable, the element's attributes and text, plus its ancestors and siblings. That snapshot travels with the Linear ticket.

Through this MCP server, your agent reads that context and maps the bug to the exact file and line, instead of guessing from a vague "it's broken on the dashboard" description.

Links

License

MIT

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