How to Use the BugSnag MCP in AutoGen

Enable AutoGen agents to debate BugSnag incident severity and resolution strategy.

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Connect BugSnag MCP to AutoGen

Create your Vinkius account to connect BugSnag to AutoGen 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 AutoGen

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Debate BugSnag errors with AutoGen

Assign one agent to watch `list_errors` while another evaluates the impact. They discuss the findings and reach a consensus on which bugs require immediate attention. This process filters out noise before you even see a notification. The agents negotiate based on the data retrieved from the server.

Automate BugSnag triage workflows

Use AutoGen to manage the conversation between technical and operational agents. The performance agent calls `get_project_stats` to demand faster resolution times. Each agent has a specific role that dictates how it uses the tools. This structure ensures that every error is handled by the appropriate expert agent.

Negotiate fixes using BugSnag data

Allow your agents to challenge each other's conclusions about `get_error` details. If one agent flags a false positive, the other verifies it against the latest event logs. This adversarial approach catches edge cases that a single agent might miss. Your system converges on the most likely root cause through iterative discussion.

Setup guide

Set up BugSnag MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes BugSnag tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="BugSnag_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent BugSnag data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="BugSnag_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent BugSnag data")
    print(result.messages[-1].content)

Get your connection token →

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Common questions about BugSnag MCP in AutoGen

You provide the tool list to the AssistantAgent constructor. The agents then decide which one to invoke based on their current task and persona.

Yes, you define the debate rules in your agent group chat. They use the tools to gather facts and then negotiate a final decision.

Data access is restricted to the tools provided. Vinkius secures the connection, and your agents only see the output you authorize them to process.

No, they use the connection managed by the MCP server. You just provide the endpoint token during the initial setup on Vinkius.

They access error groups, event details, and organization stats. This covers the typical metadata needed for automated incident triage and discussion.

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