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.

BugHerd MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: BugHerd
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect BugHerd through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="BugHerd Assistant",
            instructions=(
                "You help users interact with BugHerd. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from BugHerd"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About BugHerd MCP Server

Connect your BugHerd account to any AI agent and orchestrate your visual feedback, website bug tracking, and QA workflows through natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from BugHerd through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries BugHerd, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Project Oversight — List all your active projects and retrieve detailed metadata, including development URLs.
Task & Bug Management — List all tasks in a project, retrieve detailed descriptions, and update statuses or priorities.
Feedback Processing — Access the dedicated feedback queue to triage new reports from your clients or team.
User Coordination — Access your directory of organization users and manage their involvement in projects.
Task Creation — Create new tasks or feedback reports directly from your workspace with descriptions and priority levels.
Organizational Insights — Retrieve core organization information and settings straight from your workspace.

The BugHerd MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect BugHerd to OpenAI Agents SDK via MCP

Follow these steps to integrate the BugHerd MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from BugHerd

Why Use OpenAI Agents SDK with the BugHerd MCP Server

OpenAI Agents SDK provides unique advantages when paired with BugHerd through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

BugHerd + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the BugHerd MCP Server delivers measurable value.

Automated workflows: build agents that query BugHerd, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries BugHerd, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through BugHerd tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query BugHerd to resolve tickets, look up records, and update statuses without human intervention

BugHerd MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect BugHerd to OpenAI Agents SDK via MCP:

create_project

Create a new BugHerd project

create_task

Create a new task or feedback in a project

get_organization_info

Retrieve core organization settings

get_project

Get details of a specific project

get_task

Get details of a specific task

list_feedback

List tasks specifically in the Feedback queue

list_projects

List all BugHerd projects

list_tasks

List all tasks in a project

list_users

List all users in the organization

update_task

Update an existing task status or details

Example Prompts for BugHerd in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with BugHerd immediately.

"List all my active projects in BugHerd."

"Show the new feedback for the 'Vinkius Redesign' project."

"Update task task_123 in project proj_456 to status 'Doing'."

Troubleshooting BugHerd MCP Server with OpenAI Agents SDK

Common issues when connecting BugHerd to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

BugHerd + OpenAI Agents SDK FAQ

Common questions about integrating BugHerd MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.