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Neon (Serverless PostgreSQL) MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Neon (Serverless PostgreSQL) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Neon (Serverless PostgreSQL) Assistant",
            instructions=(
                "You help users interact with Neon (Serverless PostgreSQL). "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Neon (Serverless PostgreSQL)"
        )
        print(result.final_output)

asyncio.run(main())
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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.

The OpenAI Agents SDK auto-discovers all 10 tools from Neon (Serverless PostgreSQL) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Neon (Serverless PostgreSQL), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Neon (Serverless PostgreSQL) MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

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

Why Use OpenAI Agents SDK with the Neon (Serverless PostgreSQL) MCP Server

OpenAI Agents SDK provides unique advantages when paired with Neon (Serverless PostgreSQL) through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Neon (Serverless PostgreSQL) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Neon (Serverless PostgreSQL) MCP Server delivers measurable value.

01

Automated workflows: build agents that query Neon (Serverless PostgreSQL), process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Neon (Serverless PostgreSQL), another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Neon (Serverless PostgreSQL) tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Neon (Serverless PostgreSQL) to resolve tickets, look up records, and update statuses without human intervention

Neon (Serverless PostgreSQL) MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Neon (Serverless PostgreSQL) to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting Neon (Serverless PostgreSQL) to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Neon (Serverless PostgreSQL) + OpenAI Agents SDK FAQ

Common questions about integrating Neon (Serverless PostgreSQL) MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Connect Neon (Serverless PostgreSQL) to OpenAI Agents SDK

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