Honeybadger (Error Tracking) MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Honeybadger (Error Tracking) as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="honeybadger_error_tracking_agent",
tools=tools,
system_message=(
"You help users with Honeybadger (Error Tracking). "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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 Honeybadger (Error Tracking) MCP Server
Connect your Honeybadger account to any AI agent and take full control of your exception monitoring and application health through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Honeybadger (Error Tracking) tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
What you can do
- Project Management — List all monitored projects and extract high-level details including API keys, languages, and unresolved fault counts directly from your agent
- Fault Analysis — Query fault groups (error aggregates) to understand class names, messages, and environment distributions across your infrastructure
- Resolution Workflow — Mark faults as resolved or ignore them to maintain a clean error dashboard and ensure your team stays focused on critical issues
- Notice Inspection — Deep-dive into individual error occurrences (notices) to retrieve backtraces, request data, session context, and server environments
- Uptime & Deployment — Monitor site availability and track recent deployment revisions to identify if a specific code change triggered new regressions
- Team Audit — List registered team members and their roles to understand notification distribution and ownership for specific projects
The Honeybadger (Error Tracking) MCP Server exposes 10 tools through the Vinkius. Connect it to AutoGen 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 Honeybadger (Error Tracking) to AutoGen via MCP
Follow these steps to integrate the Honeybadger (Error Tracking) MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Honeybadger (Error Tracking) automatically
Why Use AutoGen with the Honeybadger (Error Tracking) MCP Server
AutoGen provides unique advantages when paired with Honeybadger (Error Tracking) through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Honeybadger (Error Tracking) tools to solve complex tasks
Role-based architecture lets you assign Honeybadger (Error Tracking) tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Honeybadger (Error Tracking) tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Honeybadger (Error Tracking) tool responses in an isolated environment
Honeybadger (Error Tracking) + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Honeybadger (Error Tracking) MCP Server delivers measurable value.
Collaborative analysis: one agent queries Honeybadger (Error Tracking) while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Honeybadger (Error Tracking), a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Honeybadger (Error Tracking) data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Honeybadger (Error Tracking) responses in a sandboxed execution environment
Honeybadger (Error Tracking) MCP Tools for AutoGen (10)
These 10 tools become available when you connect Honeybadger (Error Tracking) to AutoGen via MCP:
get_fault
Get full details of a Honeybadger fault
get_notice
Get full details of a Honeybadger notice
get_project
Get full details of a Honeybadger project
list_deployments
List recent deployments registered in a Honeybadger project
list_faults
Returns class names, messages, environments, occurrence counts, and first/last noticed dates. List faults (error groups) for a Honeybadger project
list_members
List team members on a Honeybadger project
list_notices
List notices (individual error occurrences) for a Honeybadger fault
list_projects
Returns project names, IDs, tokens, language, environments, and fault/notice counts. List all projects in Honeybadger
list_sites
List uptime monitoring sites in a Honeybadger project
resolve_fault
Irreversible matrix state change. Resolve a Honeybadger fault
Example Prompts for Honeybadger (Error Tracking) in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Honeybadger (Error Tracking) immediately.
"List all unresolved faults in my 'production-backend' project"
"Show me the details for fault ID 123456"
"List recent deployments for project ID 9876"
Troubleshooting Honeybadger (Error Tracking) MCP Server with AutoGen
Common issues when connecting Honeybadger (Error Tracking) to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Honeybadger (Error Tracking) + AutoGen FAQ
Common questions about integrating Honeybadger (Error Tracking) MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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Microsoft's framework for multi-agent collaborative conversations.
Connect Honeybadger (Error Tracking) to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.