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PostgreSQL MCP Server

by YawLabsversion 0.13.10i★ –iRuns on your computer
Registry nameio.github.YawLabs/postgres-mcp

Install

Overview

Description from the maker (original English)

PostgreSQL MCP server - query, schema introspection, explain, and health checks for AI assistants

PopNx MCP’s three pillars

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

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?

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",
        "@yawlabs/postgres-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add postgres -- npx -y @yawlabs/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",
        "@yawlabs/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",
        "@yawlabs/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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account YawLabs, 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 85% 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 (0.13.10) reached the registry 7 days 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 on your computer.

What can I use instead?

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

Alternatives

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

by supabase

Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.

Computer or cloud★ 2,993Apache-2.0Updated today
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MongoDB MCP Server

by mongodb-js

MongoDB Model Context Protocol Server

Runs on your computer★ 1,157Apache-2.0Updated 2 days ago
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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.

@yawlabs/postgres-mcp

One click adds this to your local Yaw MCP config so it's available in every Yaw Terminal session. Or install manually below.

Query a PostgreSQL database from Claude Code, Cursor, and any MCP client. Read-only by default - writes opt in via a single env var - so an agent can't silently drop your tables.

Built and maintained by Yaw Labs.

What's new in 0.12

An index advisor, opt-in audit logging, structured tool output, and support for current-revision MCP clients. Full detail in the CHANGELOG.

  • `pg_index_advisor` recommends indexes for a workload and keeps only the ones that measurably lower estimated cost. Candidates are costed with HypoPG hypothetical indexes, never created on disk, and the search knows that PostgreSQL 18's skip scan changes which multi-column indexes are useful.
  • Opt-in audit logging of the SQL tools send: one JSON line per audited statement, to stderr or a file. Bound parameter values are never recorded. Off by default, and not a complete record -- see Audit logging.
  • Structured tool output. Every tool declares an outputSchema and returns structuredContent alongside the unchanged text block, so anything reading the text today keeps working.
  • Both MCP protocol eras. The server used to speak only the legacy (2025) protocol revisions, which a client on the current 2026-07-28 revision fails against. It now serves both.

On 0.12.0? Upgrade. 0.12.1 closes a stacked-query hole in pg_index_advisor: SQL passed in its statements argument ran on a protocol that accepts several commands in one string, so SELECT 1; COMMIT; DROP SCHEMA public CASCADE; escaped the read-only transaction. The tool is annotated read-only, so hosts often auto-allow it. The same release stops pg_inspect_locks attributing a lock held in another database to whichever local table shares its OID, fixes the advisor's greedy search, and makes audit lines carry the tool field they were missing.

Coming from 0.10.x? 0.11.0 has three breaking changes: pg_seq_scan_tables, pg_unused_indexes and pg_top_queries return an envelope (read data.rows where you used to read data), pg_explain with analyze: true emits BUFFERS (pass buffers: false for the old output), and Node 22 is the floor. Details in the 0.11.0 changelog entry.

Backstory

Anthropic's reference Postgres MCP server, @modelcontextprotocol/server-postgres, was archived in May 2025 and marked deprecated on npm in July 2025. Anthropic has not shipped a replacement. Despite the deprecation, the last published version (v0.6.2) is still pulled ~20,000 times per week - a lot of agents are pointed at an unmaintained package.

That unmaintained package also has a known, publicly documented stacked-query SQL injection (Datadog Security Labs) that bypasses its BEGIN READ ONLY wrapper with input like COMMIT; DROP SCHEMA public CASCADE;. It has never been patched at npm.

A handful of community forks have appeared, but each fills a narrow slice:

  • @zeddotdev/postgres-context-server - Zed's fork, primarily a security patch on the original shape.
  • Postgres MCP Pro (Crystal DBA) - focused on index tuning and hypothetical-index / buffer-cache diagnostics.
  • AWS Labs Postgres MCP - tied to Aurora / RDS Data API + Secrets Manager.

None of them position themselves as a general-purpose daily driver you'd hand to Claude Code or Cursor against an arbitrary Postgres: modern introspection, perf helpers, role/privilege awareness, and a write-safety posture out of the box. That's the gap @yawlabs/postgres-mcp fills.

Why this one?

  • Read-only by default, with an unconditional read-only tool too - pg_query runs user SQL in a BEGIN READ ONLY transaction, so postgres itself (not string parsing) blocks writes; opt in to writes with ALLOW_WRITES=1. pg_readonly is a separate tool that stays read-only regardless of ALLOW_WRITES, so hosts that gate tools individually (Claude Code permissions, mcp.hosting) can auto-allow it -- paired with a least-privileged role, since READ ONLY bounds writes to the database rather than every side effect (details).
  • Role-based access as the primary control - the recommended posture is to use a least-privileged postgres role in DATABASE_URL (e.g. one with GRANT pg_read_all_data); postgres itself then enforces the boundary, no env var needed. See Configuring access.
  • Extended query protocol for all user SQL - pg_query sends user input with queryMode: 'extended', which restricts each request to a single statement. This closes the stacked-query injection class (COMMIT; DROP SCHEMA x CASCADE;) that defeated the reference server's BEGIN READ ONLY wrapper. Integration test asserts the rejection.
  • Parameterized queries - pg_query takes a params array for $1, $2, etc. No string-interpolated SQL in our code path.
  • Written from scratch, actively maintained - not a fork of the deprecated code. Unit + integration tests (npm test, npm run test:integration) run against a real Postgres; releases cut via release.sh.
  • Schema introspection built in - pg_list_schemas, pg_list_tables, pg_describe_table return columns, primary keys, foreign keys, and indexes without the agent having to remember pg_catalog joins.
  • `EXPLAIN` as a first-class tool - text or JSON format, with optional ANALYZE. ANALYZE for non-SELECT statements requires ALLOW_WRITES=1 and always rolls back, so the plan is real but the written rows don't persist. (What Postgres never rolls back still sticks: a sequence the statement advanced stays advanced.)
  • Perf diagnostics the deprecated server never had - pg_top_queries (from pg_stat_statements), pg_seq_scan_tables, pg_unused_indexes, pg_table_bloat, pg_inspect_locks, pg_replication_status. Answer "why is this slow?" in one tool call.
  • Health snapshot - pg_health returns version, db size, connection counts, and the 10 longest-running active queries in one call.
  • Role and privilege awareness - pg_list_roles and pg_table_privileges for the common "who can touch what?" questions.
  • Instant startup - ships as a single bundled file with zero runtime dependencies. No multi-minute node_modules install on every npx cold start.
  • Result truncation - large result sets are capped at POSTGRES_MAX_ROWS (default 1000) with a truncated: true flag, so a stray SELECT * FROM events doesn't blow out the model context.

Quick start

1. Create `.mcp.json` in your project root

macOS / Linux / WSL:

{

"mcpServers": { "postgres": { "command": "npx", "args": ["-y", "@yawlabs/postgres-mcp@latest"], "env": { "DATABASE_URL": "postgres://user:password@host:5432/dbname" } } } }

Windows:

{

"mcpServers": { "postgres": { "command": "cmd", "args": ["/c", "npx", "-y", "@yawlabs/postgres-mcp@latest"], "env": { "DATABASE_URL": "postgres://user:password@host:5432/dbname" } } } }

Why the extra step on Windows? Since Node 20, child_process.spawn cannot directly execute .cmd files (that's what npx is on Windows). Wrapping with cmd /c is the standard workaround.

2. Restart and approve

Restart Claude Code (or your MCP client) and approve the postgres MCP server when prompted.

3. (Optional) Enable writes

Read-only is the default. If you want the agent to be able to INSERT, UPDATE, DELETE, or run DDL, add ALLOW_WRITES=1 to the env block:

"env": {

"DATABASE_URL": "postgres://...", "ALLOW_WRITES": "1" }

Prefer scoping this to dev/test databases - for production, leave writes off and use migration tools out-of-band.

Configuring access

The role in DATABASE_URL is the primary access control. Postgres has had a battle-tested permission system for 30 years; lean on it instead of relying on ALLOW_WRITES alone. A least-privileged role makes writes server-rejected no matter what tools or env vars are configured.

Read-only agent (recommended default):

CREATE ROLE mcp_reader LOGIN PASSWORD 'change-me';

GRANT CONNECT ON DATABASE your_db TO mcp_reader; GRANT USAGE ON SCHEMA public TO mcp_reader; GRANT pg_read_all_data TO mcp_reader;

Point DATABASE_URL at mcp_reader. Postgres rejects every write, every DDL, every privilege change - regardless of ALLOW_WRITES. No app-level guard to bypass; the database is the boundary.

Scoped write agent (dev/test or narrow production use):

CREATE ROLE mcp_writer LOGIN PASSWORD 'change-me';

GRANT CONNECT ON DATABASE your_db TO mcp_writer; GRANT USAGE ON SCHEMA public TO mcp_writer; GRANT SELECT, INSERT, UPDATE, DELETE ON ALL TABLES IN SCHEMA public TO mcp_writer; GRANT USAGE ON ALL SEQUENCES IN SCHEMA public TO mcp_writer; -- DDL not granted -- the agent can change data but not schema.

Set ALLOW_WRITES=1 so pg_query will issue writes, and rely on the role to keep the agent away from DDL and other schemas.

Per-tool gating in the host:

Tools split cleanly across two authority classes:

  • Auto-allow: pg_readonly (server-side BEGIN READ ONLY, unconditional), pg_index_advisor (only ever EXPLAINs the statements it is given, never with ANALYZE, inside BEGIN READ ONLY), plus the introspection and diagnostics tools (pg_list_*, pg_describe_table, pg_search_columns, pg_health, pg_inspect_locks, pg_table_bloat, pg_unused_indexes, pg_seq_scan_tables, pg_top_queries, pg_io_stats, pg_replication_status, pg_advisor, pg_table_privileges).
  • Always prompt: pg_query (writes when ALLOW_WRITES=1 is set and the role allows it), pg_explain (analyze: true executes the statement; with ALLOW_WRITES=1 that includes writes, which are rolled back, and without it the tool has the same reach as pg_readonly), pg_kill (changes session state; requires ALLOW_WRITES=1).

The split follows each tool's readOnlyHint annotation, and Claude Code's permissions block and mcp.hosting's per-tool toggle both honor it.

What `READ ONLY` does and does not cover. A BEGIN READ ONLY transaction blocks writes to the *database* -- INSERT/UPDATE/DELETE, DDL, nextval/setval. It does not block functions whose effect lands outside the table data. SELECT pg_terminate_backend(...), pg_cancel_backend, pg_read_file, lo_export, and COPY ... TO PROGRAM all run to completion inside pg_readonly, which means auto-allowing pg_readonly reaches the same capability that pg_kill puts behind ALLOW_WRITES=1. Every one of them still requires a privilege the DATABASE_URL role must actually hold (pg_signal_backend, pg_read_server_files, superuser), so **the role is the contro

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