Can the assistant manipulate or modify my raw stack trace data?

No, raw occurrence logs and stack traces are absolutely immutable in Rollbar to preserve forensic tracking accuracy. The AI can pull the detailed traces efficiently for you using tools like `get_occurrence`, but it cannot rewrite history or change the raw context data of any logged exception. It can only adjust the top-level ticket 'status' (resolving or muting) via the `update_item` operation.

Is possible to correlate an unexpected increase of exceptions immediately with a software deploy?

Yes! The conversational integration empowers exactly this workflow natively. You can instruct the assistant to retrieve the newest deployment records (`list_deploys`), and then read the high-frequency active exceptions concurrently listed on the top items (`top_active_items`). The AI can parse these timelines inside the chat log organically and identify patterns that align with the specific revision uploaded to production.

Can the AI filter errors by environment (e.g., production vs. staging)?

Yes. The `list_items` tool accepts an `environment` parameter, so you can ask the AI to show only production errors, staging errors, or any other custom environment you have configured in Rollbar.

Rollbar MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Rollbar
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Rollbar as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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="rollbar_agent",
    instruction=(
        "You help users interact with Rollbar "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

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 Rollbar MCP Server

Connect your conversational assistant directly to Rollbar, the premier continuous code error tracking platform. This integration transforms your AI into a proactive site reliability engineer, allowing you to instantly isolate stack traces, track down the origin of critical bugs, and manage your code's lifecycles from a single text interface.

Google ADK natively supports Rollbar 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

Uncover Critical Bugs — Instruct your assistant to list current active errors (list_items) or instantly retrieve the highest-impact issues severely affecting your user base (top_active_items).
Dive Deep into Exceptions — Pass a specific error ID to the AI (get_item) to explore occurrences (list_occurrences) and obtain complete stack trace logs (get_occurrence) to determine precisely where your application failed.
Manage Deployments & Health — Tell the AI to review the history of code deployments (list_deploys) or seamlessly report a brand-new release tied to a specific Git commit directly into the monitoring dashboard (report_deploy).
Orchestrate Resolution — Did you fix the problem? Direct the assistant to change the bug's status and automatically resolve or mute the error ticket (update_item).

The Rollbar 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 Rollbar to Google ADK via MCP

Follow these steps to integrate the Rollbar 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 Rollbar via MCP

Why Use Google ADK with the Rollbar MCP Server

Google ADK provides unique advantages when paired with Rollbar 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 Rollbar

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 Rollbar tools with BigQuery, Vertex AI, and Cloud Functions

Rollbar + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Rollbar MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Rollbar and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Rollbar tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Rollbar regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Rollbar

Rollbar MCP Tools for Google ADK (10)

These 10 tools become available when you connect Rollbar to Google ADK via MCP:

get_deploy

Retrieves details for a specific deployment

get_item

Retrieves details for a specific error item

get_occurrence

Retrieves full details for a specific error occurrence

list_deploys

Lists all registered code deployments

list_invites

Lists pending team invitations

list_items

Lists all error items tracked by Rollbar

list_occurrences

Lists individual error occurrences for an item

report_deploy

Specify environment and Git revision. Reports a new code deployment to Rollbar

top_active_items

Retrieves the top most frequent error items

update_item

Valid statuses: active, resolved, muted. Updates the status of an error item

Example Prompts for Rollbar in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Rollbar immediately.

"Check the dashboard for any listed error items recorded recently."

"Get the stack trace and precise occurrence detail for occurrence ID '1234abcd'."

"Report a new deployment in Rollbar for the 'production' environment using the commit revision '8a3bd41'."

Troubleshooting Rollbar MCP Server with Google ADK

Common issues when connecting Rollbar to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Rollbar + Google ADK FAQ

Common questions about integrating Rollbar MCP Server with Google ADK.

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.