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Honeybadger (Error Tracking) MCP Server for Google ADK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

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.

Vinkius supports streamable HTTP and SSE.

python
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],
)
Honeybadger (Error Tracking)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

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.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Honeybadger (Error Tracking)

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

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.

01

Enterprise data agents: ADK agents query Honeybadger (Error Tracking) and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Honeybadger (Error Tracking) tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Honeybadger (Error Tracking) regularly and flag policy violations or configuration drift

04

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:

01

get_fault

Get full details of a Honeybadger fault

02

get_notice

Get full details of a Honeybadger notice

03

get_project

Get full details of a Honeybadger project

04

list_deployments

List recent deployments registered in a Honeybadger project

05

list_faults

Returns class names, messages, environments, occurrence counts, and first/last noticed dates. List faults (error groups) for a Honeybadger project

06

list_members

List team members on a Honeybadger project

07

list_notices

List notices (individual error occurrences) for a Honeybadger fault

08

list_projects

Returns project names, IDs, tokens, language, environments, and fault/notice counts. List all projects in Honeybadger

09

list_sites

List uptime monitoring sites in a Honeybadger project

10

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.

01

"List all unresolved faults in my 'production-backend' project"

02

"Show me the details for fault ID 123456"

03

"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.

01

McpToolset not found

Update: pip install --upgrade google-adk

Honeybadger (Error Tracking) + Google ADK FAQ

Common questions about integrating Honeybadger (Error Tracking) MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

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.