How to Use the BugSnag MCP in OpenAI Agents SDK

Q: How do I fetch BugSnag errors in OpenAI Agents SDK?

Use the listerrors tool to retrieve current groups for your project. Your OpenAI Agents SDK instance will process the response and present the relevant stack traces for your review.

Q: Can BugSnag show me collaborator info in OpenAI Agents SDK?

Yes, call listcollaborators to see who is assigned to your project. This helps your OpenAI Agents SDK logic decide who to notify when a critical bug hits.

Q: How do I filter events in OpenAI Agents SDK?

Use listevents to pull a specific window of occurrences. This allows your agent to perform targeted debugging based on the exact timeline you provide.

Track production stability directly within your OpenAI Agents SDK workflow.

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Connect BugSnag MCP to OpenAI Agents SDK

Create your Vinkius account to connect BugSnag to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup BugSnag with OpenAI Agents SDK

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Pinpoint crashes with OpenAI Agents SDK

Stop digging through dashboards when your production agent hits a wall. Use `get_error` and `get_event` to pull stack traces directly into your agent's context for immediate analysis. Your code stays clean because the server handles the heavy lifting. You'll see exactly what broke and why, letting your agent propose a fix before you even open a terminal.

Analyze error trends using OpenAI Agents SDK

Get a handle on your release stability by querying `get_project_stats` and `list_release_stages`. It gives you the raw numbers you need to decide if that latest deployment is actually ready for prime time. This MCP Server provides the data your agent requires to build incident reports. Automate your post-mortems by feeding these error summaries into your existing notification pipelines.

Manage project visibility in OpenAI Agents SDK

Keep your agent aware of your organization structure by calling `list_organizations` and `list_projects`. It ensures your automated tasks always target the right environment without manual configuration. Stop guessing which project ID belongs to which service. Your agent handles the lookup, keeping your workflow focused on resolving issues instead of searching for metadata.

Setup guide

Set up BugSnag MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all BugSnag tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives BugSnag tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate BugSnag tools and returns structured results. Copy the full example on the right to get started.

agent.py

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

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="BugSnag Agent",
            instructions="You have access to BugSnag tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about BugSnag MCP in OpenAI Agents SDK

Use the `list_errors` tool to retrieve current groups for your project. Your OpenAI Agents SDK instance will process the response and present the relevant stack traces for your review.

Yes, call `list_collaborators` to see who is assigned to your project. This helps your OpenAI Agents SDK logic decide who to notify when a critical bug hits.

Your error logs and organization metadata stay encrypted in transit. The MCP Server acts as a proxy, ensuring your OpenAI Agents SDK environment only touches the specific records you authorize.

Use `list_events` to pull a specific window of occurrences. This allows your agent to perform targeted debugging based on the exact timeline you provide.

The tool returns an empty list or an error code indicating the project is unreachable. You can then instruct your agent to list available projects via `list_projects` to verify your access.

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