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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SQL Safe MCP

作者:proprock版本 1.5.2i★ –i在你的电脑上运行
注册名称io.github.proprock/sql-safe-mcp

安装

概览

作者提供的说明(英文原文)

Minimal, read-only, PII-safe MCP server for SQL databases.

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

  • 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": {
    "sql-safe": {
      "command": "uvx",
      "args": [
        "sql-safe-mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add sql-safe -- uvx sql-safe-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": {
    "sql-safe": {
      "command": "uvx",
      "args": [
        "sql-safe-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": {
    "sql-safe": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "sql-safe-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 proprock 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 66% 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

SQL Safe 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?

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(1.5.2)于31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-2.0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。

sql-safe-mcp

A PII-safe, read-only MCP server for coding agents working with SQL Server, MySQL and MariaDB: schema knowledge and safe queries without write-capable tools or plaintext exposure of configured PII columns.

Read the data. Protect the identity.

Give a coding agent the schema knowledge it needs to write correct code - servers, databases, tables, columns, keys, indexes, and stored procedures. On aliases you mark all_pii_safe, it can also query real rows while configured personal data stays hidden behind authenticated tokens.

PII-safe by default. Read-only by design.

  • PII-safe by default - on an all_pii_safe server, the columns you configure come back as alias-bound, authenticated tokens (pii:v1:...), never as plaintext. An agent can still project, count, and filter on them with = and IN using tokens it was given, so it can follow a record without reading it. Tokens do not work on another server alias or with another key.
  • Read-only by construction - seven tools, all annotated read-only. No tool writes data, and the server never executes SQL an agent wrote: metadata comes from SQLAlchemy Inspector and fixed catalog queries, and execute_sql runs only a validated, regenerated SELECT.
  • Multiple servers, isolated policies - one MCP process can expose multiple named SQL Server, MySQL, and MariaDB instances. Each alias has its own connection, access level, and, when enabled, PII key and protection rules. Every database operation targets an explicit alias; there is no network discovery.

Operational safeguards

  • Fails closed - SQL validation is an allowlist. Unknown syntax, unresolved lineage, and unsupported protected-value types are refused, not guessed at. The verification evidence is in the security model.
  • Least access first - access_level: metadata (the default) exposes database navigation and table structure; meta_and_code additionally exposes stored procedures; execute_sql needs an explicit all_pii_safe alias with its own key. Database permissions stay the primary control, so use a least-privilege login.
  • Secrets stay out of sight - connection URLs live in YAML with ${NAME} placeholders resolved from the environment. They never appear in logs or model-visible errors.
  • Compact, predictable output - object-rooted results with stable sorting, literal case-insensitive name filters, and stored procedure lists that do not expand definitions.
  • Errors an agent can act on - an ambiguous name lists the candidate schemas. Errors never contain connection details, credentials, keys, tokens, or rows.
  • Tested against attacks, not just examples - the SQL and PII boundary is checked with an adversarial corpus of hostile statements, property-based tests (token isolation, tamper resistance), a live attack run against a really writable login with before/after snapshots, and mutation testing. Results are in Verification of the SQL boundary.
  • Diagnosable failures - a timeout or connection error carries a Reference, and the stderr log records the connection stage, elapsed time, and driver error for the same reference, with credentials removed. See Logging.
ToolAccessPurpose
list_servers🟢 readConfigured server aliases
list_databases🟢 readDatabases visible to the credentials
list_tables🟢 readBase tables, filtered by schema or name
get_table_definition🟢 readColumns, keys, constraints, and indexes of one table
list_stored_procedures🟢 readStored procedures, without definitions; requires meta_and_code or all_pii_safe
get_stored_procedure🟢 readThe definition of one stored procedure; requires meta_and_code or all_pii_safe
execute_sql🟢 readOne restricted SELECT on an all_pii_safe server; protected columns return tokens

[!NOTE]

Status: SQL Server supports every tool. MySQL and MariaDB (engine: mysql or mariadb,

mysql+pymysql URLs) support every tool too. schema is always null there because the

database is the catalog, and execute_sql uses LIMIT instead of TOP. See

architecture.md.

Quick start

Install
uvx sql-safe-mcp

or

pip install sql-safe-mcp

Pin a version when you want a fixed surface: uvx sql-safe-mcp==1.5.2.

Requires Python 3.12–3.14, uv (or pip), and Microsoft ODBC Driver 18 for SQL Server when you connect to SQL Server. MySQL and MariaDB use the bundled PyMySQL driver and need nothing else.

Verified against SQL Server 2022, MySQL 8.4, and MariaDB 11.4 (see checks.md).

Or you can even ask an agent to install it

Install sql-safe-mcp as a stdio MCP server.

Ask whether to install it for this project/workspace or at user level. Then: detect and preserve the host's existing MCP config; configure the server to run via uvx sql-safe-mcp; create a YAML config template with env placeholders only; add SQL_SAFE_MCP_CONFIG; report the env variables the user must set. Do not store secrets or connection data in tracked files or output. Validate with sql-safe-mcp --check-config once variables are available.

Configure server

Copy sql-safe-mcp.example-simple.yaml to sql-safe-mcp.yaml. This smallest configuration exposes schema metadata from one SQL Server instance and does not allow row queries. Keep the complete connection URL in an environment variable:

version: 1

servers: reporting: engine: sqlserver access_level: metadata connection_url: "${REPORTING_SQL_URL}"

Here reporting is the value an agent passes as server. A missing variable, or an engine that does not match the URL dialect, stops the MCP server at startup. For multiple servers, local PII rules, shared PII rule sets, logging, and runtime limits, use the commented examples in the configuration reference.

Check the configuration

After defining every environment variable referenced by the YAML file, point the server at it with SQL_SAFE_MCP_CONFIG (or --config) and check it without connecting to any database:

SQL_SAFE_MCP_CONFIG=sql-safe-mcp.yaml uvx sql-safe-mcp --check-config

Configuration is validated at startup, and an error names the problem without printing a URL or secret. Keep credentials in the host's own configuration and never commit them. The server acts with the database account's permissions, so use a dedicated login with the least access the job needs.

Connect an MCP client

Every client configuration needs SQL_SAFE_MCP_CONFIG plus the environment variables referenced by your YAML file. Keep connection URLs and PII keys in the MCP host's environment or configuration, never in the YAML file or other tracked files.

Claude Code

claude mcp add --env SQL_SAFE_MCP_CONFIG=/path/to/sql-safe-mcp.yaml --env REPORTING_SQL_URL=mssql+pyodbc://... --transport stdio sql-safe -- uvx sql-safe-mcp

Put at least one other option between the last --env and the server name, as above. Otherwise, the CLI reads the name as another KEY=value pair.

Claude Desktop

Add the server to claude_desktop_config.json:

{

"mcpServers": { "sql-safe": { "command": "uvx", "args": ["sql-safe-mcp"], "env": { "SQL_SAFE_MCP_CONFIG": "/path/to/sql-safe-mcp.yaml", "REPORTING_SQL_URL": "mssql+pyodbc://..." } } } }

Codex CLI

codex mcp add sql-safe --env SQL_SAFE_MCP_CONFIG=/path/to/sql-safe-mcp.yaml --env REPORTING_SQL_URL=mssql+pyodbc://... -- uvx sql-safe-mcp

Any other stdio host

Use command uvx, argument sql-safe-mcp, and set SQL_SAFE_MCP_CONFIG plus every environment variable referenced by the configuration file. The server writes MCP messages to stdout and logs only to stderr.

PII-safe queries

execute_sql on the billing alias allows one restricted SELECT. For example, these arguments:

{

"server": "billing", "database": "Billing", "sql": "SELECT CustomerId, Email FROM dbo.Customers" }

can return a row such as [42, "pii:v1:..."]: the agent can follow the customer without reading the email address. A token is accepted only in = and IN predicates on the same server alias. If FirstName is protected, SELECT FirstName FROM Users WHERE FirstName = 'Alice' is rejected before it reaches the database. Filter protected columns only with authentic pii:v1:... tokens returned by execute_sql for the same alias; a matching prefix alone is not enough. Each token is authenticated and alias-bound, then validated and converted to a bound database value. Protection covers the columns you list, so list every column that holds personal data.

Documentation

  • Configuration reference - aliases, connection URLs, PII rules, runtime limits, and logging.
  • Tool reference - arguments, responses, errors, and the accepted SQL subset.
  • Security model - trust boundaries, guarantees, limitations, and verification.
  • Checks - local, integration, and security verification commands.

Security

The MCP caller, SQL input, database metadata, rows, and tokens are untrusted. Database permissions remain the primary authorization control - this server never widens them. Read the full security model, including its limitations and verification evidence. To report a vulnerability, use the private channel in SECURITY.md.

Contributing

Setup, checks, the test commands, the branch and commit conventions, and the release model are in CONTRIBUTING.md. Changes that affect someone running the server are recorded in CHANGELOG.md.

License

MIT.

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