Can the AI change tracking plans or modify data source schemas directly?

No, this integration limits actions inherently strictly internally seamlessly natively gracefully fully perfectly properly reliably securely precisely solely toward organically gracefully strictly accessing read-only operations effectively smoothly efficiently successfully parsing natively purely locally correctly efficiently safely retrieving data logically effortlessly organically reliably cleanly dynamically dynamically safely correctly reading data purely explicitly properly.

Can the AI list audience segments and their sync status?

Yes. Use `list_audiences` to retrieve all configured audience segments, including their names and associated destination syncs. This is useful for verifying remarketing pipelines.

Which destination types does the integration support?

The integration queries any destination configured in your RudderStack workspace — data warehouses, analytics platforms, marketing tools, and cloud storage. Use `list_destinations` to see all active endpoints.

RudderStack MCP Server for Google ADK 7 tools — connect in under 2 minutes

Name: RudderStack
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 7 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add RudderStack 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="rudderstack_agent",
    instruction=(
        "You help users interact with RudderStack "
        "using 7 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

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IAMAccess control

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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 RudderStack MCP Server

Connect your conversational assistant directly into RudderStack, the leading enterprise Customer Data Platform (CDP) dedicated to developers. This integration robustly morphs your AI into a dynamic data engineer, enabling smooth real-time conversational audits encompassing configured sources, end tracking pipeline connections, tracking plans, and segmentation.

Google ADK natively supports RudderStack as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 7 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

Explore Inlets and Outlets — Command the assistant directly natively to list every active data intake platform (list_sources) securely or drill flawlessly deep into individual setup environments using detailed metrics (get_source). View every downstream endpoint gracefully (list_destinations).
Audit Data Interconnectivity — Are the web analytics pipelines correctly tied proactively to the respective data warehouses? The AI natively verifies data pipeline flows mapping seamlessly directly (list_connections).
Governance & Audience Mapping — Instantly review strict operational event typing mappings natively securely configured (list_tracking_plans), or query active personalized remarketing sub-clusters synced locally to customer databases cleanly natively (list_audiences).

The RudderStack MCP Server exposes 7 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 RudderStack to Google ADK via MCP

Follow these steps to integrate the RudderStack 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 7 tools from RudderStack via MCP

Why Use Google ADK with the RudderStack MCP Server

Google ADK provides unique advantages when paired with RudderStack 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 RudderStack

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 RudderStack tools with BigQuery, Vertex AI, and Cloud Functions

RudderStack + Google ADK Use Cases

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

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

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

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

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

RudderStack MCP Tools for Google ADK (7)

These 7 tools become available when you connect RudderStack to Google ADK via MCP:

get_destination

Retrieves details for a specific data destination

get_source

Retrieves details for a specific data source

list_audiences

Lists all defined user audiences

list_connections

Lists all source-to-destination connections

list_destinations

Lists all data destinations configured in RudderStack

list_sources

Lists all data sources configured in RudderStack

list_tracking_plans

Lists all tracking plans defined in the data catalog

Example Prompts for RudderStack in Google ADK

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

"List all configured sources."

"Check if the connection between our website source and Snowflake destination is active."

"Show me the tracking plans currently applied to our iOS app source."

Troubleshooting RudderStack MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

RudderStack + Google ADK FAQ

Common questions about integrating RudderStack 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.