PostgreSQL MCP Server

Name: PostgreSQL MCP Server
Author: neverinfamous

by neverinfamousversion 1.0.2i★ –iRuns on your computer

Registry nameio.github.neverinfamous/postgres-mcp

Install

Overview

Description from the maker (original English)

PostgreSQL MCP server with 203 tools, connection pooling, HTTP/SSE, OAuth 2.1, and tool filtering

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Databases & datasets

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "postgres": {
      "command": "npx",
      "args": [
        "-y",
        "@neverinfamous/postgres-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add postgres -- npx -y @neverinfamous/postgres-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "postgres": {
      "command": "npx",
      "args": [
        "-y",
        "@neverinfamous/postgres-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "postgres": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@neverinfamous/postgres-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account neverinfamous, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Databases & datasetsi

More stars than 0% of the other 953 servers in this category
Published to the registry more recently than 3% of the other 953 servers in this category
Basic checks equal to or better than 100% of the other 953 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is PostgreSQL MCP Server safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.2) reached the registry 9 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.

What can I use instead?

In the same category: Supabase, MongoDB MCP Server, Elasticsearch MCP Server

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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by supabase

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Computer or cloud★ 2,993Apache-2.0Updated yesterday

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

postgres-mcp

PostgreSQL MCP Server binding the Model Context Protocol to a secure PostgreSQL sandbox.

Features Code Mode — a revolutionary approach that provides access to all 278 tools through a secure, true V8 isolate (worker_threads), eliminating the massive token overhead of multi-step tool calls. Also includes schema introspection, migration tracking, smart tool filtering, deterministic error handling, connection pooling, HTTP/SSE Transport, OAuth 2.1 authentication, and extension support for citext, ltree, pgcrypto, pg_cron, pg_stat_kcache, pgvector, PostGIS, and HypoPG.

278 Specialized Tools · 24 Resources · 21 AI-Powered Prompts

[Docker Hub](https://hub.docker.com/r/writenotenow/postgres-mcp) • [npm Package](https://www.npmjs.com/package/@neverinfamous/postgres-mcp) • [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers?search=io.github.neverinfamous/postgres-mcp) • [Wiki](https://github.com/neverinfamous/postgres-mcp/wiki) • [Tool Reference](https://github.com/neverinfamous/postgres-mcp/wiki/Tool-Reference) • [Changelog](https://github.com/neverinfamous/postgres-mcp/blob/main/CHANGELOG.md)

🎯 What Sets Us Apart

Feature	Description
Code Mode (V8 Isolate)	Massive Token Savings: Execute complex, multi-step operations inside a secure, true V8 isolate (`worker_threads`). Stop burning tokens on back-and-forth tool calls and reduce your AI overhead by up to 90%.
Deterministic Error Handling	No more cryptic database errors causing AI hallucinations. We intercept and translate raw SQL exceptions into clear, actionable advice so your agent knows exactly how to recover without guessing.
278 Token-Optimized Tools	The largest PostgreSQL toolset on the MCP registry. Every query uses zero-cost token estimation and smart dataset truncation, ensuring agents always see the big picture without blowing their context windows.
OAuth 2.1 + Granular Control	Real enterprise security. Authenticate via OAuth 2.1 and control exactly who can read, write, or administer your database with precision scopes mapped down to the specific tool layer.
Audit Trails & Semantic Diffing	Total accountability. Track exactly what your AI is doing with detailed JSON logs, automatically snapshot schemas before mutations, and confidently review semantic row-by-row diffs before restoring data.
24 Resources & 21 Prompts	Instant database meta-awareness. Agents automatically read real-time health, performance, and replication metrics, and can invoke built-in prompt workflows for query tuning and schema design.
Introspection & Migrations	Prevent costly mistakes. Let your AI simulate the cascade impact of schema changes, safely order foreign-key updates, and track migration history automatically.
8 Extension Ecosystems	Ready for advanced workloads. First-class API support for pgvector (AI search), PostGIS (geospatial), pg_cron, pgcrypto, and more—all strictly typed and validated out of the box.
Smart Tool Filtering	Give your agent exactly what it needs without overflowing IDE limits. Dynamically compile your server with any combination of our 25 distinct tool groups.
Enterprise Infrastructure	Built for production. Blazing fast (millions of ops/sec), protected against SQL injection, features high-performance connection pooling, and supports both Streamable HTTP and Legacy SSE protocols simultaneously.

Suggested Rule (Add to AGENTS.md, GEMINI.md, etc)

MCP TOKEN MANAGEMENT:

Token Visibility: When interacting with postgres-mcp, always monitor the _meta.tokenEstimate (or metrics.tokenEstimate in Code Mode) returned in tool responses.
Audit Resource: Use the postgres://audit resource to review session-level token consumption and identify high-cost operations.
Proactive Efficiency: If operations are consuming high token counts, prefer code mode and proactively use limit parameters.

🚀 Quick Start

Prerequisites

PostgreSQL 12-18 (tested with PostgreSQL 18.1)
Docker (recommended) or Node.js 24+ (LTS)

Docker (Recommended)

docker pull writenotenow/postgres-mcp:latest

Add to your ~/.cursor/mcp.json or Claude Desktop config:

"mcpServers": { "postgres-mcp": { "command": "docker", "args": [ "run", "--rm", "-i", "-e", "POSTGRES_HOST", "-e", "POSTGRES_PORT", "-e", "POSTGRES_USER", "-e", "POSTGRES_PASSWORD", "-e", "POSTGRES_DATABASE", "writenotenow/postgres-mcp:latest", "--tool-filter", "codemode", "--audit-log", "/tmp/postgres-logs/audit.jsonl" ], "env": { "POSTGRES_HOST": "host.docker.internal", "POSTGRES_PORT": "5432", "POSTGRES_USER": "your_username", "POSTGRES_PASSWORD": "your_password", "POSTGRES_DATABASE": "your_database" } } } }

Note for Docker: Use host.docker.internal to connect to PostgreSQL running on your host machine.

📖 Full Docker guide: DOCKER_README.md · Docker Hub

npm

npm install -g @neverinfamous/postgres-mcp

postgres-mcp --transport stdio --postgres postgres://user:password@localhost:5432/database

From Source

git clone https://github.com/neverinfamous/postgres-mcp.git

cd postgres-mcp npm install npm run build node dist/cli.js --transport stdio --postgres postgres://user:password@localhost:5432/database

Development

See [From Source](#from-source) above for setup. After cloning:

npm run lint && npm run typecheck  # Run checks

npm run bench # Run performance benchmarks node dist/cli.js info # Test CLI node dist/cli.js list-tools # List available tools

Benchmarks

Run npm run bench to execute the performance benchmark suite (10 files, 93+ scenarios) powered by Vitest Bench. Use npm run bench:verbose for detailed table output.

Performance Highlights (Node.js 24, Windows 11):

Area	Benchmark	Throughput
Tool Dispatch	Map.get() single tool lookup	~6.9M ops/sec
WHERE Validation	Simple clause (combined regex fast-path)	~3.7M ops/sec
Identifier Sanitization	validateIdentifier()	~4.4M ops/sec
Auth — Token Extraction	extractBearerToken()	~2.7M ops/sec
Auth — Scope Checking	hasScope()	~5.3M ops/sec
Rate Limiting	Single IP check	~2.3M ops/sec
Logger	Filtered debug (no-op path)	~5.4M ops/sec
Schema Parsing	MigrationInitSchema.parse()	~2.1M ops/sec
Metadata Cache	Cache hit + miss pattern	~1.7M ops/sec
Sandbox Creation	CodeModeSandbox.create() cold start	~863 ops/sec

Full benchmark results and methodology are available on the Performance wiki page.

🔗 Database Connection Scenarios

Scenario	Host to Use	Example Connection String
PostgreSQL on host machine	`localhost` or `host.docker.internal`	`postgres://user:pass@localhost:5432/db`
PostgreSQL in Docker	Container name or network	`postgres://user:pass@postgres-container:5432/db`
Remote/Cloud PostgreSQL	Hostname or IP	`postgres://user:pass@db.example.com:5432/db`

Provider	Example Hostname
AWS RDS PostgreSQL	`your-instance.xxxx.us-east-1.rds.amazonaws.com`
Google Cloud SQL	`project:region:instance` (via Cloud SQL Proxy)
Azure PostgreSQL	`your-server.postgres.database.azure.com`
Supabase	`db.xxxx.supabase.co`
Neon	`ep-xxx.us-east-1.aws.neon.tech`

🛠️ Tool Filtering

[!IMPORTANT]

All tool groups include Code Mode (pg_execute_code) by default. To exclude it, add -codemode to your filter: --tool-filter cron,pgcrypto,-codemode

💡 Code Mode (--tool-filter codemode) is the recommended configuration — it exposes pg_execute_code, a secure, true V8 isolate sandbox providing access to all 278 tools' worth of capability with up to 90% token savings. See Tool Filtering for alternatives.

Requires `admin` OAuth scope — execution is logged for audit

📖 [See Full Installation Guide →](https://github.com/neverinfamous/postgres-mcp#readme)

What Can You Filter?

The --tool-filter argument accepts groups or tool names — mix and match freely:

Filter Pattern	Example	Description

| Groups only | `core,jsonb,transac

Only the beginning is shown; read the rest in the repo

PostgreSQL MCP Server

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Databases & datasetsi

Common questions

Alternatives

Supabase

MongoDB MCP Server

Elasticsearch MCP Server

README from the maker

postgres-mcp

🎯 What Sets Us Apart

Suggested Rule (Add to AGENTS.md, GEMINI.md, etc)

🚀 Quick Start

Prerequisites

Docker (Recommended)

npm

From Source

Development

Benchmarks

🔗 Database Connection Scenarios

🛠️ Tool Filtering

What Can You Filter?