Supabase
Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.
Description from the maker (original English)
Enterprise PostgreSQL MCP server with 63 tools, 10 resources, 10 prompts for AI-native operations
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
Which app do you use?
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": "docker",
"args": [
"run",
"-i",
"--rm",
"docker.io/writenotenow/postgres-mcp-enhanced:v1.2.0"
]
}
}
}Run this in your terminal
claude mcp add postgres -- docker run -i --rm docker.io/writenotenow/postgres-mcp-enhanced:v1.2.0Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"postgres": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"docker.io/writenotenow/postgres-mcp-enhanced:v1.2.0"
]
}
}
}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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"postgres": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"docker.io/writenotenow/postgres-mcp-enhanced:v1.2.0"
]
}
}
}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.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account neverinfamous, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (1.2.0) reached the registry 11 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.
In the same category: Supabase, MongoDB MCP Server, Elasticsearch MCP Server
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.
MongoDB Model Context Protocol Server
MCP server for interacting with Elasticsearch
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.
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)
| 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. |
MCP TOKEN MANAGEMENT:
postgres-mcp, always monitor the _meta.tokenEstimate (or metrics.tokenEstimate in Code Mode) returned in tool responses.postgres://audit resource to review session-level token consumption and identify high-cost operations.limit parameters.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.internalto connect to PostgreSQL running on your host machine.
📖 Full Docker guide: DOCKER_README.md · Docker Hub
npm install -g @neverinfamous/postgres-mcp
postgres-mcp --transport stdio --postgres postgres://user:password@localhost:5432/database
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
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
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.
| 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 |
[!IMPORTANT]
All tool groups include Code Mode (
pg_execute_code) by default. To exclude it, add-codemodeto your filter:--tool-filter cron,pgcrypto,-codemode
💡 Code Mode (
--tool-filter codemode) is the recommended configuration — it exposespg_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.
📖 [See Full Installation Guide →](https://github.com/neverinfamous/postgres-mcp#readme)
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