Bring Airbrake
to Google ADK
Learn how to connect Airbrake to Google ADK and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Airbrake MCP Server?
Connect your Airbrake account to any AI agent and manage your entire error monitoring workflow through natural conversation.
What you can do
- Project Management — List all monitored projects and fetch detailed project configuration
- Error Group Analysis — List error groups by project with occurrence counts, severity, and last-seen timestamps
- Deep Error Inspection — Inspect individual error groups with full stack traces, affected users, and frequency data
- Error Notices — List individual error occurrences within a group and report custom errors for tracking
- Deployment Tracking — List all tracked Installments and record new releases with version and environment info
- Environment Overview — View all configured environments (production, staging, development) per project
- Health Check — Verify API connectivity and account status
How it works
1. Subscribe to this server
2. Enter your API Key from your Airbrake account settings
3. Start monitoring errors from Claude, Cursor, or any MCP client
Who is this for?
- Engineering Teams — investigate error spikes and review stack traces without leaving the code editor
- DevOps — track deployments and correlate releases with error rates
- QA Teams — monitor error groups across environments and report custom test failures
Built-in capabilities (10)
Verify API connectivity
Get error group details
Get project details
List deployments
List environments
List error groups
List error notices
List all projects
Report an error notice
Track a deployment
Why Google ADK?
Google ADK natively supports Airbrake 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.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Airbrake
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Airbrake tools with BigQuery, Vertex AI, and Cloud Functions
Airbrake in Google ADK
Airbrake and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Airbrake to Google ADK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Airbrake in Google ADK
The Airbrake 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. All 10 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Google ADK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Airbrake for Google ADK
Every tool call from Google ADK to the Airbrake MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can my AI show me the most recent error groups for a project?
Yes. Use the list_error_groups tool with the project ID. The agent returns all error groups with occurrence counts, severity levels, and the last time each error was seen.
How do I track a Installment through the AI?
Use the track_Install tool with the project ID, version string, and environment name. The agent records the Installment in Airbrake so you can correlate it with error rate changes.
Can I report a custom error to Airbrake via my AI agent?
Yes. The report_notice tool sends a custom error with a type and message to any project. This is useful for tracking non-exception events or test failures.
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.
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.
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.
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Update: pip install --upgrade google-adk