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

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Neon (Serverless PostgreSQL) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "neon-serverless-postgresql": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Neon (Serverless PostgreSQL), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Neon (Serverless PostgreSQL)
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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.

LangChain's ecosystem of 500+ components combines seamlessly with Neon (Serverless PostgreSQL) through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

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

Why Use LangChain with the Neon (Serverless PostgreSQL) MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine Neon (Serverless PostgreSQL) MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Neon (Serverless PostgreSQL) queries for multi-turn workflows

Neon (Serverless PostgreSQL) + LangChain Use Cases

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

01

RAG with live data: combine Neon (Serverless PostgreSQL) tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Neon (Serverless PostgreSQL), synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Neon (Serverless PostgreSQL) tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Neon (Serverless PostgreSQL) tool call, measure latency, and optimize your agent's performance

Neon (Serverless PostgreSQL) MCP Tools for LangChain (10)

These 10 tools become available when you connect Neon (Serverless PostgreSQL) to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Neon (Serverless PostgreSQL) + LangChain FAQ

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

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Neon (Serverless PostgreSQL) to LangChain

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