BugHerd is a website feedback and issue tracking tool that lets users point, click, and comment directly on web pages.
BugHerd is an on-page feedback and bug tracking platform tailored for web development projects, digital agencies, and software teams. The software provides a visual layer over live or staging websites, allowing reviewers to submit context-rich observations by pointing and clicking directly on web elements. Instead of managing issue reports through lengthy email chains, spreadsheets, or manual screen grabs, users can leave comments pinned to specific locations on web pages.
When a client or team member submits a comment, the application automatically records technical information alongside a visual screenshot. Captured data includes the reviewer's operating system, browser version, screen resolution, window dimensions, user agent details, page URL, and exact CSS selectors. Automatically gathering these environment parameters assists developers in recreating bugs and resolving reported issues without requiring back-and-forth technical inquiries.
Reported items flow directly onto an integrated Kanban-style task board. The task board functions as a visual work area where project leads can triage feedback, assign items to specific team members, update priorities, set due dates, and monitor project status. BugHerd supports distinct user permissions by separating users into members and guests. Members can access the full project board and all reported items, whereas guests can submit new feedback and respond to comments on items they created.
The system incorporates artificial intelligence utilities to streamline agency management workflows. Through the BugHerd Model Context Protocol (MCP) server, external AI coding tools and agents can connect directly to project boards. These AI agents can read open tasks, retrieve visual context, update statuses, post thread comments, and execute code or content modifications directly within connected codebases, content management systems, or design applications.
BugHerd functions across various web platforms and environments, including local development servers, staging sites, and active production URLs. Implementation requires either installing a browser extension or inserting a JavaScript code snippet into the target site's header. External reviewers can submit feedback without setting up account credentials, enabling client reviews, design proofing, quality assurance, and user acceptance testing.
Quality assurance specialists and web developers use BugHerd to report and track technical bugs during site build phases. Testers inspect staging or production environments, dropping pins directly on broken components. The system automatically attaches screenshots, operating system details, browser versions, and CSS selectors to generated tasks, helping software engineers troubleshoot and resolve technical defects efficiently.
Digital marketing and web development agencies implement the software to guide client review cycles for new website builds. External clients click on page layouts, banners, or content sections to offer feedback without logging into project management accounts. Agencies set submission deadlines, provide client-facing board views, and protect internal team communications while gathering client sign-offs.
Engineering teams connect AI coding agents to project boards using the BugHerd Model Context Protocol server. The connected AI agent inspects incoming tasks, reads screenshots and technical parameters, executes code fixes inside external code repositories, updates task statuses, and leaves summary comments in task threads, reducing manual triage workload for developers.
Educational organizations and course creators employ the platform to audit online learning modules and Canvas LMS pages. Subject matter experts, instructors, and reviewers highlight text passages or page components to flag typos, broken links, or visual formatting issues, centralizing content updates across self-paced learning programs.
E-commerce managers and site administrators gather ongoing feedback across active storefront pages. Internal staff and external reviewers drop pins on broken checkout elements, incorrect product descriptions, or missing promotional images on live web pages. The resulting feedback generates structured tasks on project boards without disrupting site visitors.
Account managers and agency leaders utilize task data to generate project summaries and monitor team workloads. Account managers prompt connected AI assistants to summarize completed and open items, drafting progress updates directly into task threads. Agency directors monitor unresolved feedback and overdue tasks across active projects without manual status meetings.
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Clients submit feedback by clicking on any visual component of a live or staging webpage to drop a pin. They type comments, suggest copy edits, or attach files. The platform records a screenshot, captures technical specifications, and creates a task on the project board without requiring client account logins.
The platform automatically captures a screenshot of the web page view. It records environment parameters including operating system, browser type and version, screen resolution, window size, exact page URL, user agent data, and the specific CSS selector associated with the targeted web element.
No, external clients and reviewers do not need to register accounts or log in. Project teams send clients a direct link, enabling them to drop visual pins and leave comments on the site immediately without undergoing user account creation steps.
BugHerd operates across live, staging, and internal development environments. On live websites, teams can utilize a browser extension without adding code. For staging or internal setups, teams add a JavaScript code snippet into the header of the website.
BugHerd MCP is an integration protocol connecting AI coding agents like Claude Code, Cursor, or ChatGPT directly to BugHerd projects. The AI agent reads task descriptions, screenshots, and URLs, executes code or CMS updates, updates task statuses, and posts fix summaries into task threads.
BugHerd MCP connects with AI tools and agents including Claude Code, Cursor, ChatGPT, VS Code, Windsurf, and Codex. Additionally, teams can pair BugHerd MCP with tools like Webflow MCP or Figma MCP to automate design adjustments and copy updates.
Bi-directional synchronization links BugHerd with platforms such as Jira, Asana, ClickUp, Monday.com, and Trello. Tasks created from on-page feedback automatically transfer to the external platform, while status updates, comments, and task completions sync back to BugHerd.
Members can access the full Kanban task board, view all reported bugs, and manage project tasks across the organization. Guests, such as external clients, can only submit on-page feedback and view or respond to comments on items they reported.
The platform includes AI capabilities such as auto-title generation to summarize lengthy feedback, auto-tagging to suggest task categories based on project history, similar task detection to spot overlapping entries, and the BugHerd MCP server for automated task resolution.
BugHerd offers a 7-day free trial that allows teams to test features without requiring a credit card upon sign-up. Additionally, subscription purchases are backed by a 60-day money-back guarantee if the customer is not satisfied within 60 days of purchase.
BugHerd is designed for web development agencies, digital marketing agencies, software engineering teams, web designers, project managers, delivery leads, account managers, agency owners, instructional technologists, and e-commerce teams managing web builds, design reviews, and ongoing site maintenance.
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Reviewers click on any element of a live or staging website to attach feedback pins. This visual annotation capability removes the need for manual screenshots or lengthy written descriptions, enabling direct on-page communication between clients, project managers, and development personnel.
Submitting a comment automatically generates a visual screenshot and records environment metadata. Collected details include browser type, operating system, screen resolution, window dimensions, page URL, and CSS selector, supplying developers with reproduction parameters.
Feedback automatically populates a visual Kanban task board. Teams can organize tasks into customized status columns, assign work items to specific team members, set completion deadlines, adjust priority levels, and track task progression across projects.
The platform includes a Model Context Protocol server that links AI coding tools directly to project task boards. Connected AI agents can retrieve task context, list project tasks, execute updates in external repositories, change task statuses, and post fix summaries.
Artificial intelligence functionality analyzes incoming feedback to spot duplicate or overlapping tasks. When a user views a task, a dedicated panel displays related entries, enabling project managers to merge, reassign, or close duplicate feedback items.
The platform inspects new feedback submissions and suggests tags based on existing project tagging conventions. This auto-tagging capability categorizes tasks into tags such as design, bugs, or copy changes without manual tag selection.
An artificial intelligence utility summarizes detailed or lengthy user comments into concise, scannable titles. Automatically generated titles appear on task board cards, helping project managers quickly identify task objectives.
Reviewers can record screen video accompanied by audio commentary directly on the web page. This feature allows users to explain dynamic interactions, navigation steps, or complex user interface behaviors that static screenshots cannot illustrate.
Users can highlight specific text blocks on a web page to submit written revision proposals. Proposing text changes directly on content elements helps content managers and editors review copy adjustments within the visual page context.
Agencies can provide clients with a simplified task board view while maintaining internal privacy. Project managers can restrict client permissions, set feedback submission deadlines, and allow guests to view feedback submitted by others to prevent duplicate reports.
Teams can enable public feedback features on active websites. This allows general website visitors and end users to report bugs or submit feedback directly from live pages without logging into the platform.
Agencies can apply custom branding elements to the client-facing feedback interface and project task boards. Customizing visual styling and logos helps agencies deliver a branded portal experience during client review phases.
The application syncs task details, comments, and completion statuses bidirectionally with third-party project management applications. Updates made in external platforms reflect on the BugHerd task board, keeping team members aligned across systems.
Reviewers can annotate and submit feedback on uploaded design assets, static images, and document files in addition to live web pages. This expands visual proofing capabilities across early design phases and asset reviews.
We don't publish prices: they change often and differ by country. Check current plans on BugHerd's own pricing page.
BugHerd structures pricing across several subscription plans designed for different team sizes and project scopes. All subscription plans include support for unlimited active projects and unlimited guest reviewers. Advanced integration capabilities, such as deep two-way Asana task synchronization, are available on the Premium plan and above. A 60-day money-back guarantee is offered on subscription purchases.
BugHerd provides deep bi-directional synchronization with project management platforms, issue trackers, and code repositories. It offers communication integrations for automated team notifications, plugins for content management systems, workflow automation connections, time tracking tool links, and a REST API with webhooks for custom software integrations.
Support resources include online documentation detailing platform setup, integration configuration, and artificial intelligence feature management. Technical support can be reached via email, and product specialists offer individual product demonstrations.
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This page was written with AI from 9 pages of bugherd.com's own website (read on Sep 15, 2026) and checked automatically: no copied wording, no prices, and no figure that isn't on the vendor's site. Nobody on our team has tested BugHerd.
