Can I check the stability trend for a project using the agent?

Yes! Use the `get_project_stats` tool with the Project ID. Your agent will fetch the error trends and statistics, allowing you to monitor health over time.

How do I list the top errors for my application?

Simply ask the agent to `list_errors` and provide the Project ID. It will retrieve the error groups from your BugSnag account, including messages and event counts.

Does the integration allow inspecting a specific error occurrence?

Yes. Use the `get_event` tool with the Event ID. It will retrieve the full details for that specific occurrence, which is helpful for deep debugging.

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

Name: BugSnag
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 BugSnag 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="BugSnag Assistant",
            instructions=(
                "You help users interact with BugSnag. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

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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 BugSnag MCP Server

Connect your BugSnag account to any AI agent and orchestrate your error monitoring, stability tracking, and incident response workflows through natural conversation.

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

What you can do

Organization Oversight — List all your organizations and projects to maintain visibility across your entire tech stack.
Error Management — List and inspect error groups for specific projects, including error classes, severity, and frequency.
Event Deep Dives — Retrieve individual error events and occurrence details to debug issues faster.
Team Coordination — Access your directory of collaborators and release stages to ensure everyone is aligned.
Stability Insights — Retrieve error trends and statistics to monitor the health of your applications over time.
Incident Response — Get detailed metadata for specific error or event IDs straight from your workspace.

The BugSnag 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 BugSnag to OpenAI Agents SDK via MCP

Follow these steps to integrate the BugSnag 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 BugSnag

Why Use OpenAI Agents SDK with the BugSnag MCP Server

OpenAI Agents SDK provides unique advantages when paired with BugSnag 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

BugSnag + OpenAI Agents SDK Use Cases

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

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

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

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

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

BugSnag MCP Tools for OpenAI Agents SDK (10)

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

get_error

Get details of a specific error group

get_event

Get details of a specific error event

get_project

Get details of a specific project

get_project_stats

Get error trends and statistics for a project

list_collaborators

List collaborators in an organization

list_errors

List error groups for a project

list_events

List individual error events for a project

list_organizations

List all organizations you have access to

list_projects

List all projects in an organization

list_release_stages

List release stages configured for a project

Example Prompts for BugSnag in OpenAI Agents SDK

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

"List all my projects in BugSnag for organization org_123."

"Show the last 5 errors for the 'Web Dashboard' project."

"Get details for error group err_99283."

Troubleshooting BugSnag MCP Server with OpenAI Agents SDK

Common issues when connecting BugSnag 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.

BugSnag + OpenAI Agents SDK FAQ

Common questions about integrating BugSnag 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.