How to Use the Honeybadger (Error Tracking) MCP in AutoGen

Q: How do I route Honeybadger (Error Tracking) data to AutoGen agents?

Install autogen-extmcp. Initialize the server with StreamableHttpServerParams, extract the tools via mcpservertools(), and pass them to your AssistantAgent.

Q: Can an AutoGen agent resolve a fault without human input?

Yes. If you give an agent access to resolvefault without a consensus requirement or human-in-the-loop prompt, it will execute the state change autonomously.

Q: Which AutoGen agents should get access to Honeybadger (Error Tracking)?

Give read tools like getproject and listsites to your investigator agents. Keep mutation tools isolated to a specific executor agent.

Q: How do I configure the MCP Server for AutoGen?

McpToolAdapter handles the schema conversion automatically. You just provide the endpoint URL and standard HTTP transport parameters.

Give your AutoGen agents access to Honeybadger so they can debate and triage application exceptions.

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Setup Honeybadger (Error Tracking) with AutoGen

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Multi-agent debugging with AutoGen

You assign the `get_fault` and `get_notice` tools to a dedicated triage agent. That agent pulls the full details of a production exception and presents the backtrace to a senior developer agent for review. The agents debate the root cause based on the actual stack trace. You watch them argue over whether it's a transient network issue or a hard code regression before they present a final conclusion via AutoGen.

Assign blame via deployment logs

The `list_members` tool returns the team members on a project while `list_deployments` pulls the recent release history. Your agents cross-reference who deployed what against the timestamps of new faults. This automates the incident response investigation phase. The agents figure out which commit introduced the bug and ping the correct team member without you having to dig through dashboards.

Consensus-driven fault resolution

The MCP Server exposes the `resolve_fault` tool for irreversible state changes. You configure your AutoGen system so the triage agent proposes resolving the error, but a manager agent must agree before the tool executes. This prevents premature ticket closure. The agents verify the occurrence counts have stopped increasing via `list_faults` before they mutually agree to mark the issue as resolved.

Setup guide

Set up Honeybadger (Error Tracking) 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 Honeybadger (Error Tracking) 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="Honeybadger (Error Tracking)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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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="Honeybadger (Error Tracking)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Honeybadger. 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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Common questions about Honeybadger (Error Tracking) MCP in AutoGen

Install `autogen-ext[mcp]`. Initialize the server with `StreamableHttpServerParams`, extract the tools via `mcp_server_tools()`, and pass them to your AssistantAgent.

Yes. If you give an agent access to `resolve_fault` without a consensus requirement or human-in-the-loop prompt, it will execute the state change autonomously.

Give read tools like `get_project` and `list_sites` to your investigator agents. Keep mutation tools isolated to a specific executor agent.

`McpToolAdapter` handles the schema conversion automatically. You just provide the endpoint URL and standard HTTP transport parameters.

The server touches internal team member names and raw exception messages. Authentication is handled upstream, and the ephemeral execution environment guarantees no data leakage between agent sessions.

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