Honeybadger (Error Tracking) MCP Server for Google ADK 10 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Honeybadger (Error Tracking) as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="honeybadger_error_tracking_agent",
instruction=(
"You help users interact with Honeybadger (Error Tracking) "
"using 10 available tools."
),
tools=[mcp_tools],
)* 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.
Google ADK natively supports Honeybadger (Error Tracking) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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 Google ADK 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 Google ADK via MCP
Follow these steps to integrate the Honeybadger (Error Tracking) MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 10 tools from Honeybadger (Error Tracking) via MCP
Why Use Google ADK with the Honeybadger (Error Tracking) MCP Server
Google ADK provides unique advantages when paired with Honeybadger (Error Tracking) through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Honeybadger (Error Tracking)
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine Honeybadger (Error Tracking) tools with BigQuery, Vertex AI, and Cloud Functions
Honeybadger (Error Tracking) + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Honeybadger (Error Tracking) MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Honeybadger (Error Tracking) and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Honeybadger (Error Tracking) tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Honeybadger (Error Tracking) regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Honeybadger (Error Tracking)
Honeybadger (Error Tracking) MCP Tools for Google ADK (10)
These 10 tools become available when you connect Honeybadger (Error Tracking) to Google ADK 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 Google ADK
Ready-to-use prompts you can give your Google ADK 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 Google ADK
Common issues when connecting Honeybadger (Error Tracking) to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkHoneybadger (Error Tracking) + Google ADK FAQ
Common questions about integrating Honeybadger (Error Tracking) MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect Honeybadger (Error Tracking) with your favorite client
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Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Honeybadger (Error Tracking) to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
