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。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Pg Readonly MCP

作者:les-k版本 0.1.1i★ –i在你的电脑上运行
注册名称io.github.les-k/pg-readonly-mcp

安装

概览

作者提供的说明(英文原文)

A read-only Postgres MCP server that parses SQL rather than pattern-matching it.

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
  • 你需要填写:PG_READONLY_MCP_DSN

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)。
  • 需要你自己填写: PG_READONLY_MCP_DSN

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 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": {
    "pg-readonly": {
      "command": "uvx",
      "args": [
        "pg-readonly-mcp"
      ],
      "env": {
        "PG_READONLY_MCP_DSN": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add pg-readonly --env PG_READONLY_MCP_DSN=your-value -- uvx pg-readonly-mcp

运行前请先填写空着的值。

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": {
    "pg-readonly": {
      "command": "uvx",
      "args": [
        "pg-readonly-mcp"
      ],
      "env": {
        "PG_READONLY_MCP_DSN": "your-value"
      }
    }
  }
}

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": {
    "pg-readonly": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "pg-readonly-mcp"
      ],
      "env": {
        "PG_READONLY_MCP_DSN": "your-value"
      }
    }
  }
}

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。

需要你填写的值

  • PG_READONLY_MCP_DSN 机密 必填 env
    Postgres connection string for a role that holds only SELECT. The server refuses to start otherwise.

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7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 les-k 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 957 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 957 个服务器的 45% 更新
  • 基础检查结果等于或优于此分类中其他 957 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

Pg Readonly MCP 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?

你需要填写:PG_READONLY_MCP_DSN

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(0.1.1)于36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 Python (uv)。

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昨天更新
安装

MongoDB MCP Server

作者:mongodb-js

MongoDB Model Context Protocol Server

在你的电脑上运行★ 1,157Apache-2.03天前更新
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。

pg-readonly-mcp

In plain terms: this lets an AI look at your database and do nothing else.

Not because it was told not to write — the database login it uses is physically

incapable of writing. The official version of this tool had a published flaw

that let a "delete everything" command slip past its safety check; this one is

tested against that exact attack.

A read-only Postgres MCP server that parses SQL rather than pattern-matching it — because the alternative has already failed in public, once, in a way that is worth being specific about.

The bypass this exists to close

Anthropic's reference Postgres MCP server enforced "read-only" by wrapping each query in a read-only transaction. It also accepted semicolon- delimited multi-statement input. That combination is exploitable:

SELECT 1; COMMIT; DROP SCHEMA public CASCADE;

The COMMIT ends the read-only transaction early. Everything after it runs at full session privilege. Datadog Security Labs disclosed this in 2026; the server was deprecated and archived — and the vulnerable package was still pulling 21,000 weekly downloads after that.

A read-only transaction is a property of *how* a query runs. It says nothing about *what the query is*, which is exactly why it was possible to talk your way out of it. This server checks the second thing instead.

Two independent layers

Either one alone would have stopped the disclosed bypass. Both exist because a flaw in one should not be the only thing standing between an agent and a write.

1. The SQL is parsed, not scanned. guard.py uses sqlglot to build a real syntax tree and applies three checks:

  • Exactly one statement. sqlglot.parse splits on statement-terminating semicolons the way a driver would, so the payload above becomes three statements and is refused before any of them reach a connection.
  • The outer statement is a read shape — SELECT, UNION, INTERSECT, EXCEPT, or a CTE built from those. DROP TABLE users is refused here.
  • No write anywhere in the tree, walked in full. This is the check the other two cannot replace: Postgres allows a CTE to carry a data-modifying statement, so WITH x AS (DELETE FROM t RETURNING *) SELECT * FROM x is, at the outer level, a SELECT. A check that only looks at the outer shape misses this completely. Walking every node finds the DELETE regardless of how many levels down it sits.

An unrecognised statement shape — anything sqlglot has no specific rule for — is refused by the same rule as everything else. Unfamiliar is not the same as safe.

2. The connection itself cannot write, independent of what it is asked to run. check_connection_is_readonly refuses to start if the connected role is a superuser, can create databases or roles, can bypass row-level security, or holds any grant beyond SELECT on any table it can see. Not exhaustive — Postgres privilege can also arrive through ownership, PUBLIC grants, or RLS policies this check does not enumerate — but it catches the two ways a misconfiguration most commonly shows up, stated here rather than implied.

What it does not protect against

  • A privileged connection string handed to it anyway. The startup check catches the common shapes of over-privilege; it is not an exhaustive privilege audit, and it says so above rather than implying otherwise.
  • Resource exhaustion within the limits. A query that legally returns 1,000 rows of very wide data, or that is legitimately expensive to plan, still costs what it costs. Row caps and a statement timeout bound the damage; they do not make an expensive read free.
  • What the agent does with the data once it has it. This is a query gate, not a data-loss-prevention tool. Read access to a table is read access to whatever is in it.
  • A parser disagreement. sqlglot and Postgres's own parser are two independent implementations of the same grammar. It is not proven that they agree on every edge case Postgres accepts — a genuine, if narrow, gap in a project whose whole premise is not trusting a single layer. Layer two exists partly because of this: even if a parser differential let something unintended through the guard, the connection underneath still cannot write.

Scanner results

Run against agent-audit 0.19.2 on 18 August 2026: 15 findings, 11 auto-suppressed, 4 actionable — 1 BLOCK, 3 WARN.

The BLOCK finding is the most interesting one, and worth reading in full. server.py:156, confidence 1.0: cur.execute(sql) — flagged as SQL injection via unparameterized execution. That line is real. It is also the single most defended line in this codebase: by the time sql reaches it, validate_readonly() has already parsed it, confirmed it is exactly one statement, confirmed that statement is a read shape, and walked every node in it checking for a write. The scanner has no way to see any of that — it is a single-file pattern match, and the validation happens in a different function, in a different module, several lines earlier. It correctly identifies the *shape* that is dangerous in general and cannot see that the shape has already been checked.

It also could not have been satisfied by doing what it suggests. Parameterized queries protect *values* substituted into a fixed query shape — WHERE id = %s. They do not apply here, because the query's *structure* is the input this tool exists to accept. There is no values-only parameterization scheme for "run whichever read-only SQL the caller asks for." The fix for this class of tool is validating the structure, which is what the rest of this file is for.

The WARN on `query()`'s definition (AGENT-034, "no input validation in the function body") is the same blind spot from a different angle: the function's first line calls validate_readonly(sql) inside a try/except. A call to an imported function is not a pattern the scanner credits as validation.

The two WARNs on hardcoded credentials are in tests/conftest.py: the default admin DSN (postgres:postgres@localhost:5432/postgres, the standard local/CI Postgres default) and the literal password used for roles the test suite creates and drops within the same test. Both are correctly identified as credential-shaped strings; neither is a credential that guards anything — one points at a throwaway local database, the other lives for the duration of a single test.

The remaining 11 findings — all AGENT-041, all in test fixtures that build CREATE SCHEMA / GRANT / DROP ROLE statements from uuid.uuid4()-derived names — were already auto-suppressed by the scanner itself.

A pattern scanner is a smoke detector, not a judge. Publishing what it finds and why is worth more than a clean number would be on its own.

Install

pip install pg-readonly-mcp

From a source checkout: pip install -e .

Configure

Requires a connection string, given either as --dsn or via PG_READONLY_MCP_DSN — the environment variable exists so a password need not appear on a command line or in a client config file that might be committed by accident:

{

"mcpServers": { "pg-readonly-mcp": { "command": "pg-readonly-mcp", "env": { "PG_READONLY_MCP_DSN": "postgresql://readonly_role:...@host:5432/db" } } } }

The role in that connection string needs to hold nothing beyond `SELECT`. The server checks this itself and refuses to start otherwise — see check_connection_is_readonly above.

The tool

One tool, deliberately. A server whose entire value proposition is "we refuse everything except reads" does not need a second surface to also get that right.

ToolWhat it does
queryRuns one SELECT-shaped statement. Parsed and walked before it touches the connection. Capped at --max-rows (default 1000) and --timeout-ms (default 5000)

Tests

37 tests. 25 need no database and run anywhere — they are [`guard.py`](src/pg_readonly_mcp/guard.py)'s whole test suite, pure string in, decision out. The other 12 need a live Postgres and are integration tests by design: the point of check_connection_is_readonly is what it does against real role attributes and real grants, and a mocked connection would pass regardless of what the server actually does against a real one.

pytest -q --cov=pg_readonly_mcp

CI runs against a real `postgres:16` service container and fails the build if the database-backed tests report as skipped there — the same rule sweep-mcp applies to its symlink tests, for the same reason: a test that quietly does nothing is worse than no test.

Among the 12: a live reproduction of the exact Datadog payload, driven through the actual MCP tool call rather than through guard.py directly — and an assertion that the target schema still exists afterward, not just that an exception was raised. Also covered: a write hidden inside a CTE through the same call path, the row cap, the statement timeout, that a cancelled query leaves the connection usable for the next one, and that a role with CREATEDB and zero table grants is refused on the role attribute alone.

Coverage on CI, against a real Postgres: 78%, `guard.py` at 100%. The gap in server.py is the generic psycopg.Error catch-all — nothing in the suite deliberately provokes a database error that isn't a cancellation — and main()'s argparse and transport wiring, which the suite exercises through build_server directly instead; the transport is the part least worth mocking and least likely to be where a real mistake hides.

The first version of this pushed did not pass. Two bugs surfaced only once a real Postgres service container ran the suite for the first time, and neither was visible from the code alone: SET statement_timeout = %s reached Postgres as SET statement_timeout = $1 and failed to parse, because SET is a utility statement and does not accept a bind parameter the way a SELECT does — every real call to the tool would have failed identically. Separately, the test fixtures tried to DROP ROLE a role that still held live grants, which Postgres refuses; DROP OWNED BY has to run first. Both are fixed, and the run since is the one these numbers describe. Left in because a suite that only ever reports success is a suite nobody has watched fail.

Layout

src/pg_readonly_mcp/

guard.py parses and walks the tree. Opens no connection. 135 lines. server.py the MCP tool, the connection check, the timeout and row cap. tests/ test_guard.py 25 tests - no database, run anywhere test_server.py 12 tests - live Postgres required, CI-enforced

guard.py knows nothing about MCP or psycopg. If a query is ever refused for a reason that lives in server.py instead, that is a bug — the judgement belongs one layer down, where it can be tested with a string and nothing else.

Licence

MIT.

Author

Built by Leslie Kadenge. I do independent security reviews of MCP servers; my public survey of thirteen production servers is at les-k.github.io/field-notes.html.

问 PopNx