How to Use the Raven Tools MCP in Google ADK

Q: How do I add Raven Tools to my Google ADK setup?

Use the McpToolset class to define the server parameters. Pass this toolset into your LlmAgent to give it access to all 12 available tools.

Q: Can I filter tools when using Raven Tools with Google ADK?

You can pass a toolnames filter to the toolset configuration. This restricts the agent to only using specific tools like getrankall or getlinks.

Integrate Raven Tools with Google ADK to bridge your SEO data into the Gemini ecosystem.

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Connect Raven Tools MCP to Google ADK

Create your Vinkius account to connect Raven Tools to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Raven Tools with Google ADK

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Sync SEO data into Google ADK pipelines

Connect your agent to `get_rank` to pull current search positions directly into your Gemini-powered reasoning loop. It works with your existing BigQuery data to provide a complete picture of search trends. Your agent uses `list_keywords` to determine what to track next. This keeps your SEO data fresh without manual intervention.

Audit site performance using an MCP Server

Execute `get_site_audit` to scan client sites for technical issues that impede search rankings. The data comes back in a format your agent can analyze alongside your infrastructure logs. It flags errors and provides the context needed to fix them. You get a clear view of where the site needs work.

Manage your client portfolio in Google ADK

Call `list_projects` to see every domain your team currently manages. Your agent uses `get_project` to fetch specific details when it needs to run a targeted report. This keeps your agent's focus sharp. It only works on the projects you designate.

Setup guide

Set up Raven Tools 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 Raven Tools 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="Raven Tools_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Raven Tools tools via MCP.",
    tools=mcp_tools,
)

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Why Choose Vinkius

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Common questions about Raven Tools MCP in Google ADK

Use the `McpToolset` class to define the server parameters. Pass this toolset into your `LlmAgent` to give it access to all 12 available tools.

It does. The framework supports both Stdio and HTTP transports for the server, making it easy to connect to your Vinkius-hosted endpoint.

You can pass a tool_names filter to the toolset configuration. This restricts the agent to only using specific tools like `get_rank_all` or `get_links`.

Vinkius uses a zero-trust architecture for your MCP Server connection. Your site audit data remains private and only flows between your agent and the Raven Tools API.

The data stays within your agent's context window. It never touches public storage, as the connection is strictly point-to-point via the Vinkius sandbox.

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