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Neon (Serverless PostgreSQL) MCP Server for Google ADK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

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

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="neon_serverless_postgresql_agent",
    instruction=(
        "You help users interact with Neon (Serverless PostgreSQL) "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)
Neon (Serverless PostgreSQL)
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* 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 Neon (Serverless PostgreSQL) MCP Server

Connect your Neon account to any AI agent and take full control of your serverless PostgreSQL infrastructure, database branching, and project orchestration through natural conversation.

Google ADK natively supports Neon (Serverless PostgreSQL) 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

  • Project Orchestration — List all managed serverless workspaces and retrieve detailed regional deployment metrics and regional Caps directly from your agent
  • Zero-Copy Branching — Instantly spawn brand new database branches (CoW) containing identical production schema duplicates for isolated feature testing or rapid CI/CD cycles
  • Compute Management — Discover and list explicit compute endpoints (e.g., ep-misty-water-123) to retrieve the exact connection strings required for your application drivers
  • Branch Audit — Inspect the execution footprint of specific branches, tracking storage deltas and timeline points (LSN) to understand exactly when a branch split from its parent
  • Database Inventory — Enumerate internal SQL database schemas and catalog namespaces mapped inherently to specific branches to guide your connection logic
  • Role Management — List and audit PostgreSQL user identities and credential roles capable of querying against specific bounded logical nodes securely
  • Resource Provisioning — Initialize fresh serverless workspaces or permanently wipe out entire database ecosystems with irreversible architectural commands

The Neon (Serverless PostgreSQL) 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 Neon (Serverless PostgreSQL) to Google ADK via MCP

Follow these steps to integrate the Neon (Serverless PostgreSQL) MCP Server with Google ADK.

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 10 tools from Neon (Serverless PostgreSQL) via MCP

Why Use Google ADK with the Neon (Serverless PostgreSQL) MCP Server

Google ADK provides unique advantages when paired with Neon (Serverless PostgreSQL) through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Neon (Serverless PostgreSQL)

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Neon (Serverless PostgreSQL) tools with BigQuery, Vertex AI, and Cloud Functions

Neon (Serverless PostgreSQL) + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Neon (Serverless PostgreSQL) MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query Neon (Serverless PostgreSQL) and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Neon (Serverless PostgreSQL) tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Neon (Serverless PostgreSQL) regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Neon (Serverless PostgreSQL)

Neon (Serverless PostgreSQL) MCP Tools for Google ADK (10)

These 10 tools become available when you connect Neon (Serverless PostgreSQL) to Google ADK via MCP:

01

create_branch

Duplicates Petabytes of PostgreSQL storage instantly using filesystem CoW links, generating an isolated query testing ground tied back directly to the `parent_id` source. Spawn a zero-copy clone (Branch) of a PostgreSQL dataset

02

create_project

Provision an empty Neon Project Serverless Workspace

03

delete_project

Destroys all edge-served connection strings, severs active client connections, and completely evaporates physical NVMe-backed storage blocks. Permanently wipe out a complete Neon Postgres ecosystem

04

get_branch

Deconstruct the execution footprint of one specific Branch

05

get_project

g. AWS eu-central-1) and storage size consumption caps bounded specifically to this project ID. Analyze core routing logic mapping a Neon Project

06

list_branches

Maps `main` branches to experimental `feature-123` branches spawned in milliseconds containing identical production schema duplicates. List Copy-on-Write (CoW) Branches resolving to a Project

07

list_databases

g. `main_db`, `analytics_db_schema`). Crucial for forming absolute Postgres connection strings resolving directly to correct schemas. Identify internal SQL Database schemas mapped inherently to a Branch

08

list_endpoints

eu-central-1.aws.neon.tech`) used practically within standard PgBouncer drivers to actively ingest real query traffic to associated active branches. Discover connection routing endpoints spanning the Neon project

09

list_projects

List architectural Neon Serverless PostgreSQL Projects

10

list_roles

Maps directly to standard SQL internal `CREATE USER` outputs wrapped safely upstream. Extract PostgreSQL user Roles operating on a Branch

Example Prompts for Neon (Serverless PostgreSQL) in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Neon (Serverless PostgreSQL) immediately.

01

"List all serverless projects in my Neon account"

02

"Create a new branch called 'feat-user-auth' from the 'main' branch"

03

"What databases and roles are configured on branch 'br-12345'?"

Troubleshooting Neon (Serverless PostgreSQL) MCP Server with Google ADK

Common issues when connecting Neon (Serverless PostgreSQL) to Google ADK through the Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

Neon (Serverless PostgreSQL) + Google ADK FAQ

Common questions about integrating Neon (Serverless PostgreSQL) MCP Server with Google ADK.

01

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.
02

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.
03

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.

Connect Neon (Serverless PostgreSQL) to Google ADK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.