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BugHerd MCP. Manage bug reports and visual feedback via AI.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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BugHerd MCP on Cursor AI Code Editor MCP Client BugHerd MCP on Claude Desktop App MCP Integration BugHerd MCP on OpenAI Agents SDK MCP Compatible BugHerd MCP on Visual Studio Code MCP Extension Client BugHerd MCP on GitHub Copilot AI Agent MCP Integration BugHerd MCP on Google Gemini AI MCP Integration BugHerd MCP on Lovable AI Development MCP Client BugHerd MCP on Mistral AI Agents MCP Compatible BugHerd MCP on Amazon AWS Bedrock MCP Support

Just plug in your AI agents and start using Vinkius.

BugHerd. Track visual feedback and manage website bugs directly from your AI client. This server lets you list active projects, retrieve task details, and triage new bug reports without opening the BugHerd portal.

Use your AI agent to update task statuses or create new feedback reports in natural conversation.

What your AI agents can do

Create project

Creates a brand new project within BugHerd.

Create task

Creates a new task or a new feedback report in a specific project.

Get organization info

Retrieves core settings and information about the organization.

+ 7 more capabilities included
List all active projects

Retrieves a list of every project in your BugHerd account.

Get specific project details

Retrieves deep metadata for one project, including its development URL and status.

Get and list tasks

Retrieves detailed information about a specific task, or lists all tasks for a given project.

Triage new feedback reports

Accesses the dedicated feedback queue to list and process new bug reports from clients.

Update task status or details

Changes the status or modifies the details of an existing task or bug report.

Manage organization users

Accesses the user directory and provides information about organization members.

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
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AI Agent

BugHerd MCP Server: 10 Tools for Bug Tracking

Manage your entire bug life cycle—from initial feedback capture to final task resolution—by calling these ten tools via your AI agent.

create019d7565

create project

Creates a brand new project within BugHerd.

create019d7565

create task

Creates a new task or a new feedback report in a specific project.

get019d7565

get organization info

Retrieves core settings and information about the organization.

get019d7565

get project

Gets detailed information for a single, specified project.

get019d7565

get task

Gets detailed information for a single, specified task.

list019d7565

list feedback

Lists all tasks that are specifically new feedback reports in the dedicated queue.

list019d7565

list projects

Lists all projects currently active in your BugHerd account.

list019d7565

list tasks

Lists all tasks belonging to a specified project.

list019d7565

list users

Lists every user account associated with the organization.

update019d7565

update task

Updates the status, details, or priority of an existing task.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

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Start with BugHerd, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 4,700+ others, all in one place
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  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog every week

What you can do with this MCP connector

BugHerd MCP Server - Manage Bugs & Visual Feedback

Yo, you'll connect your BugHerd account to your AI client and handle all your visual feedback, bug tracking, and QA stuff right from your agent. You won't gotta log into a separate portal for any of this.

Project Oversight

  • You can run list_projects to get a rundown of every project you got active in your BugHerd account. You'll also use get_project to pull deep metadata on a single project, like its dev URL and its current status.
  • Need to start something new? Run create_project to set up a brand-new project right through the agent.

Task & Bug Management

  • list_tasks lets you check out every task associated with a specific project. For a deep dive, you can run get_task to pull all the details on just one task.
  • If a task's status or details change, you can run update_task to change the status, modify details, or adjust the priority on any existing task or bug report.
  • You can create_task to make a new task or a new feedback report inside a specific project, specifying descriptions and priority levels.

Triage New Feedback

  • You'll use list_feedback to access the dedicated feedback queue and pull a list of all tasks that are specifically new feedback reports. This helps you quickly triage reports from clients or teammates.

User and Org Management

  • list_users gives you a list of every user account tied to the organization. You'll also use get_organization_info to pull core settings and info about the whole organization.

Workflow Summary

  • Your agent lets you manage the whole operation. You can list users (list_users), list all projects (list_projects), get project details (get_project), list tasks (list_tasks), get task details (get_task), list new feedback (list_feedback), create projects (create_project), create tasks (create_task), update tasks (update_task), and get org info (get_organization_info).

How BugHerd MCP Works

  1. 1 Subscribe to the BugHerd server and enter your API Key.
  2. 2 Your AI agent sends a command, like 'List all projects for Q3.'
  3. 3 The server executes the necessary tool calls and returns the structured data to your agent for immediate use.

The bottom line is you can run your entire bug tracking process right inside your preferred AI client.

Who Is BugHerd MCP For?

Web developers and QA specialists who are tired of context-switching between their IDE and a separate bug reporting portal. Project managers who need to triage and update bugs without leaving their workflow tool. Designers who need to monitor client visual feedback and manage project status using natural language.

Web Developer

Checks task statuses or retrieves specific feedback details in their IDE without manually logging into BugHerd.

QA Engineer

Runs bulk checks on task lists or verifies project metadata to ensure all testing requirements are met.

Project Manager

Triages new bugs, updates priorities, or creates new tasks directly from their main workflow tool.

UX Designer

Monitors client-submitted visual feedback and requests, keeping track of status changes and priorities in real-time.

What Changes When You Connect

  • Process New Feedback: Use list_feedback to pull all new client reports into your agent's conversation. You don't need to manually navigate the feedback queue to see what needs attention.
  • Track Project Status: Quickly call list_projects to get a list of all active projects. You can immediately check the development URL for any project without switching tabs.
  • Update Issues Fast: Use update_task to change a task's status or priority directly from your chat. The agent handles the API call, so you don't have to log into the portal.
  • Audit Workflows: With get_project and get_task, you can retrieve full details on any specific project or task, giving you the context needed for deep debugging or reporting.
  • Onboard Users: Run list_users to pull your organization's full user directory. This helps your agent verify who has permission to access specific project data.
  • Build New Reports: Use create_task to generate a new bug report or feature request in a project, including a description and priority level, all from a single prompt.

Real-World Use Cases

01

A QA engineer needs to check the status of 50 tasks.

The QA engineer runs into a project and needs to know if all 50 tasks are marked 'Done.' Instead of running a report in the BugHerd UI, they prompt their agent: 'List all tasks in the Client Portal project.' The agent calls list_tasks and returns a structured list, showing the status for every item, letting the engineer continue testing immediately.

02

A PM needs to prioritize bugs from different sources.

A Project Manager gets a bunch of new client reports. They prompt their agent: 'Show me the newest feedback for the Redesign project.' The agent uses list_feedback, allowing the PM to triage the reports and then use update_task to immediately change the priority of the most critical bug.

03

A developer needs to create a temporary test task.

A developer finds a visual bug while testing and doesn't want to open the BugHerd web app. They ask their agent: 'Create a new bug report in the Marketing Blog project called 'Header misalignment' with high priority.' The agent executes create_task and logs the issue straight into the system.

04

An auditor needs a full list of team members.

An administrator needs to verify who is assigned to a project. They prompt their agent: 'List all users in the organization.' The agent uses list_users and provides the directory, eliminating the need to navigate the user management section of the portal.

The Tradeoffs

Jumping between tabs and portals

The team logs into the BugHerd portal, clicks 'Projects,' copies the list, then opens the spreadsheet, pastes it, and then has to jump back to the task detail page to check the status of one item.

Use your agent. Tell it: 'List all projects and for each, get the task count.' The agent handles the sequence (calling list_projects then list_tasks for each) and gives you the final, aggregated data in one response.

Manual status updates

A PM sees a bug in the status report and manually logs into the BugHerd UI to change the status from 'New' to 'In Progress.' This takes 3-4 clicks and introduces human error.

Tell your agent: 'Update the task for misalignment (ID: task_123) to 'In Progress'.' The agent calls update_task and confirms the change instantly, without you touching a UI.

Forgetting the source of truth

Developers often keep project status notes in Slack or Notion, leading to conflicting information. This information is never synced back to BugHerd.

Use the server to make the source of truth the BugHerd platform. Use get_project to confirm the official status, and use create_task or update_task to make changes. Your agent ensures the data stays where it belongs.

When It Fits, When It Doesn't

Use this if your primary bottleneck is data access or workflow execution. You need to pull lists of projects, check detailed metadata, or change the status of tasks without leaving your current development environment. This is perfect for QA, PMs, and Devs who live in their IDE or chat tool.

Don't use this if you need to build a complex, graphical dashboard that requires real-time visualization of relationships between thousands of objects. For that, you still need the visual UI. But if you just need the data to make a decision or execute a single action, this server handles it. If you only need to read basic user info, list_users is sufficient, but if you need to act on that info (like creating a project), you need the full server.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by BugHerd. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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How we secure it →

Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

create_project create_task get_organization_info get_project get_task list_feedback list_projects list_tasks list_users update_task

Juggling tabs to check project status and bug reports is a nightmare.

Right now, checking on a project means jumping between the BugHerd website, your Jira board, and maybe a spreadsheet. You click 'Projects' to see the list, then click into a project to see the associated tasks. If you need to check 20 projects, you spend 15 minutes just navigating, and you're never sure if the data you're looking at is up to date.

With this MCP server, you just ask your agent: 'Show me the status of the top 5 projects.' The agent uses `list_projects` and `list_tasks` in the background, pulling all the necessary metadata and giving you a clean, structured summary right where you are.

BugHerd MCP Server: Manage bug reports and visual feedback via AI.

The biggest manual step that disappears is the need to log in and manually navigate the 'Feedback' queue. You used to click the feedback tab, filter by date, and then copy the details. Now, you just tell your agent, 'What are the new, high-priority bugs?' and it runs `list_feedback` to give you the exact data you need.

It’s not just about reading the data; it’s about acting on it. You can use `update_task` to change the status of a bug from 'New' to 'Needs Review' instantly. This makes the server a true workflow tool, not just a read-only API.

Common Questions About BugHerd MCP

How do I list all my active projects in BugHerd using the list_projects tool? +

You simply ask your agent to 'list all projects.' The agent calls list_projects and returns the list of every project, including its unique ID and development URL.

Can I update a task status using the update_task tool? +

Yes. You tell your agent which task ID and what new status you want (e.g., 'In Progress'). The agent calls update_task and changes the status directly in BugHerd.

Does the list_feedback tool only show client reports? +

Yes, list_feedback is dedicated to the feedback queue, so it shows new reports from clients or team members. It keeps your bug reports separate from general tasks.

What if I need to create a project? Should I use the create_project tool? +

Yes, create_project handles the setup. You just tell the agent the project name and what it's for, and it executes the creation call.

How do I get details for a specific task using the get_task tool? +

You provide the task ID to your agent. The agent then calls get_task and pulls all the detailed metadata for that single task.

How do I retrieve core organization settings using the get_organization_info tool? +

You call get_organization_info() to pull your main settings. This tool gives you foundational data about your BugHerd account, like overall organization details and core configuration parameters.

Can I create a new task or feedback using the create_task tool? +

Yes, create_task() handles new items. You just need to provide the project ID, a description, and the desired priority when you call it.

What information does the list_users tool provide? +

The list_users() tool pulls your organization's directory. It shows all user accounts connected to BugHerd, letting you manage who can work on which projects.

Can I update the status of a bug using the agent? +

Yes! Use the update_task tool with the Project ID and Task ID. You can change the status (e.g., 'To Do', 'Doing', 'Done') or priority directly from your workspace.

How do I see the feedback queue for a specific project? +

Simply ask the agent to list_feedback and provide the Project ID. It will retrieve all the tasks currently in the Feedback column, allowing you to triage them using natural language.

Does the integration allow creating a new project? +

Yes. Use the create_project action and provide the project name and optionally a development URL. The project will be created in your BugHerd organization instantly.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

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