原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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PostgreSQL MCP Server

作者:YawLabs版本 0.13.10i★ –i在你的电脑上运行
注册名称io.github.YawLabs/postgres-mcp

安装

概览

作者提供的说明(英文原文)

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

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 数据库与数据集

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

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

在终端中运行这条命令

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

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

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

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

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

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 YawLabs 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“数据库与数据集”中的其他服务器比较i

  • 星标数多于此分类中其他 953 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 953 个服务器的 86% 更新
  • 基础检查结果等于或优于此分类中其他 953 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

PostgreSQL MCP Server 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.13.10)于6天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:Supabase, MongoDB MCP Server, Elasticsearch MCP Server

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Supabase

作者:supabase

MCP server for interacting with the Supabase platform

电脑或云端★ 2,993Apache-2.0今天更新
安装

MongoDB MCP Server

作者:mongodb-js

MongoDB Model Context Protocol Server

在你的电脑上运行★ 1,157Apache-2.0前天更新
安装

MCP server for interacting with Elasticsearch

在你的电脑上运行★ 315Apache-2.014个月前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

@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

只显示了开头部分;其余内容请在仓库中阅读

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