How to Use the CodeRabbit MCP in Google ADK

Q: How do I register the CodeRabbit MCP toolset in google-adk?

Initialize the toolset using McpToolset with your Vinkius HTTP transport URL. Pass this object to your LlmAgent constructor. The Gemini model will immediately recognize tools like listusers and getmetrics.

Q: Can my google-adk agent restrict access to specific CodeRabbit tools?

Yes, you can pass a toolnames filter to your McpToolset instance. This restricts your google-adk agent to safe operations like listusers while blocking destructive tools like unassignseats.

Analyze CodeRabbit PR metrics and manage seats inside your enterprise google-adk workflows.

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Connect CodeRabbit MCP to Google ADK

Create your Vinkius account to connect CodeRabbit 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.

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Setup CodeRabbit with Google ADK

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Run large-scale CodeRabbit audit analysis in google-adk

The `get_audit_logs` tool retrieves compliance records directly into your google-adk environment. Because Gemini handles massive context windows, your agent can ingest months of raw logs at once without running out of memory. You can feed this log data directly into BigQuery for long-term security analysis. Your enterprise agent can then query both sources to detect anomalous administrative patterns automatically.

Track engineering productivity metrics via MCP Server

Your agent invokes `get_metrics` to pull pull-request review velocity and volume data. The google-adk framework lets you pipe these metrics straight to Vertex AI for predictive modeling on team performance. No more manual CSV exports or custom dashboard building. Your agent compiles the raw output of `get_metrics` into structured reports for your engineering leadership team.

Automate seat allocation based on cloud identity

This MCP Server uses `assign_seats` and `unassign_seats` to align your CodeRabbit access with your Google Cloud IAM directory. When a developer joins your GCP project, your google-adk agent provisions their seat instantly. The agent checks `get_seat_mode` first to ensure you have available licenses. If seats are full, it alerts your admin instead of failing silently.

Setup guide

Set up CodeRabbit MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(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 CodeRabbit tools in your ADK agent.

agent.py

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="CodeRabbit_agent",
    model="gemini-2.0-flash",
    instruction="You have access to CodeRabbit tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CodeRabbit. 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.

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Common questions about CodeRabbit MCP in Google ADK

Initialize the toolset using `McpToolset` with your Vinkius HTTP transport URL. Pass this object to your `LlmAgent` constructor. The Gemini model will immediately recognize tools like `list_users` and `get_metrics`.

Yes, you can pass a `tool_names` filter to your `McpToolset` instance. This restricts your google-adk agent to safe operations like `list_users` while blocking destructive tools like `unassign_seats`.

The Gemini model's long-context window easily processes the large JSON payloads returned by `get_audit_logs`. Your agent can analyze thousands of audit lines in a single pass without pagination errors.

No, Vinkius hosts the MCP server in a secure sandbox. Your cloud-hosted google-adk agent connects directly to the provided HTTP endpoint, eliminating the need for local infrastructure.

Your user lists and seat assignment statuses are transmitted through an isolated, ephemeral V8 sandbox. Vinkius does not store your CodeRabbit API tokens or the retrieved payload data.

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