How to Use the BugSnag MCP in Google ADK
Monitor your Google ADK deployments with real-time error reporting.
Works with every AI agent you already use
…and any MCP-compatible client
Connect BugSnag MCP to Google ADK
Create your Vinkius account to connect BugSnag to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Debug production code with Google ADK
Connect your agent to your error stream using `get_error`. It pulls the meat of the stack trace into your Google ADK context so your model can reason through the failure. No more context-switching between your terminal and your browser. You get the details you need right where your code lives.
Query project health via Google ADK
Use `get_project_stats` to feed error trends into your Gemini-based reasoning loops. It gives your agent the metrics required to correlate deployments with stability drops. This MCP Server lets you treat your error data like any other BigQuery dataset. Your agent can now monitor trends across your entire infrastructure without extra scaffolding.
Automate incident triage using Google ADK
Call `list_errors` and `list_events` to build custom triage workflows. Your agent filters the noise and prioritizes the bugs that actually impact your users. It handles the tedious part of your day. You just review the agent's findings and approve the necessary patches.
Set up BugSnag MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required. - 4
Run with any Gemini model
The agent works with any Gemini model (
gemini-2.0-flash,gemini-2.5-pro, etc.). Copy the full example on the right to get started with BugSnag tools in your ADK agent.
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams
# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
connection_params=SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
)
# Create your agent with auto-discovered tools
agent = LlmAgent(
name="BugSnag_agent",
model="gemini-2.0-flash",
instruction="You have access to BugSnag tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by BugSnag. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about BugSnag MCP in Google ADK
Use it with your favorite AI tools
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Start using the BugSnag MCP today
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