How to Use the Nile (PostgreSQL for Multi-Tenant Apps) MCP in Google ADK

Q: How do I initialize Nile (PostgreSQL for Multi-Tenant Apps) in the Google ADK?

Install the package and use McpToolset with your Vinkius HTTP endpoint URL. Pass the toolset directly to your LlmAgent constructor to expose the database tools to Gemini.

Q: Can I restrict which database tools are exposed to my Google ADK agent?

Yes. You can pass a toolnames filter to the toolset to restrict access. For example, you can expose getmetrics and listtenants while blocking tenant creation tools in production.

Q: How does Nile (PostgreSQL for Multi-Tenant Apps) help Google ADK agents manage enterprise multi-tenancy?

The agent calls createtenant to spin up isolated virtual databases via the MCP Server. It then uses getdatabase to fetch the configuration details needed to establish secure connections.

Q: Can Gemini analyze tenant performance over time using this toolset?

Yes. Your agent can call getmetrics to pull real-time database strain metrics. You can then feed this data into Gemini's long-context window to generate performance reports.

Connect Gemini agents to Nile (PostgreSQL for Multi-Tenant Apps) to manage database tenants and track performance metrics.

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Setup Nile (PostgreSQL for Multi-Tenant Apps) with Google ADK

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Provision virtual tenants from Google Cloud agents

`create_tenant` provisions a new highly isolated virtual tenant boundary inside your database. This tool lets your Gemini agent handle the onboarding process for enterprise B2B customers without writing custom SQL partition logic. Your agent uses the tool to instantly set up isolated environments for new signups. The Google ADK manages the execution flow, feeding the resulting tenant metadata directly into Gemini's long-context window for downstream setup tasks.

Track database strain with Gemini and the MCP Server

`get_metrics` pulls exact operational performance numbers tracking database strain. This tool exposes raw CPU, query latencies, and storage metrics directly to your agent's reasoning engine. Gemini can analyze these metrics to detect resource hogs or schedule maintenance tasks. Combining this tool with BigQuery datasets allows your agent to run deep historical analyses of tenant behavior over time.

Map database endpoints and audit user access

`list_databases` identifies root connectivity endpoints necessary for querying physical data, while `list_tenants` lists active virtualized B2B tenants living within your Nile database. These tools give your enterprise agent a clear map of your database architecture. The agent can cross-reference these database endpoints with user accounts fetched via `list_users`. This lets you build automated security compliance tools that run inside Google Cloud and flag orphaned database users using the MCP Server.

Setup guide

Set up Nile (PostgreSQL for Multi-Tenant Apps) 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 Nile (PostgreSQL for Multi-Tenant Apps) 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="Nile (PostgreSQL for Multi-Tenant Apps)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Nile (PostgreSQL for Multi-Tenant Apps) tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

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Common questions about Nile (PostgreSQL for Multi-Tenant Apps) MCP in Google ADK

Install the package and use `McpToolset` with your Vinkius HTTP endpoint URL. Pass the toolset directly to your `LlmAgent` constructor to expose the database tools to Gemini.

Yes. You can pass a `tool_names` filter to the toolset to restrict access. For example, you can expose `get_metrics` and `list_tenants` while blocking tenant creation tools in production.

The agent calls `create_tenant` to spin up isolated virtual databases via the MCP Server. It then uses `get_database` to fetch the configuration details needed to establish secure connections.

Yes. Your agent can call `get_metrics` to pull real-time database strain metrics. You can then feed this data into Gemini's long-context window to generate performance reports.

The MCP server only transmits management metadata like database names, tenant IDs, and user lists. Vinkius secures these HTTP requests inside a zero-trust sandbox, preventing unauthorized access to your database connection strings.

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