Supabase
MCP server for interacting with the Supabase platform
作者提供的说明(英文原文)
Read-only SQL queries against a PostgreSQL database.
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。
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。
选择你使用的 AI 应用,然后复制设置。
你需要
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": {
"pgport": {
"command": "npx",
"args": [
"-y",
"@reneturcios/pgport",
"mcp"
]
}
}
}在终端中运行这条命令
claude mcp add pgport -- npx -y @reneturcios/pgport mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"pgport": {
"command": "npx",
"args": [
"-y",
"@reneturcios/pgport",
"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。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"pgport": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/pgport",
"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。
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
注册名称已通过 GitHub 账户 CloudCorpRecords 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
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。
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。
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)。
GitHub 仓库最后更新于–,最新版本(0.1.0)于10天前进入注册中心。
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, Docker。
同一分类中有:Supabase, MongoDB MCP Server, Elasticsearch MCP Server
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
MCP server for interacting with the Supabase platform
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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。
pgport lets an agent — or you, at a terminal — ask a PostgreSQL database questions without ever being able to change it. It accepts a connection string, runs a single read-only query, and hands back the rows. Anything that is not one plain SELECT or WITH ... SELECT statement is refused before it leaves the process, and the statement that does run executes inside an explicit read-only transaction.
There is no bundled database driver. Under the hood pgport shells out to the psql command-line client, so a machine that wants live answers needs psql on its PATH. Without it — or without a connection string — the server still starts and lists its tool; only the query itself reports the problem.
npx @reneturcios/pgport query postgres://user@localhost:5432/mydb "SELECT 1"
Or run the container image:
docker run -i ghcr.io/cloudcorprecords/pgport
The container defaults to the MCP server (see below). Pass CLI arguments to use it as a CLI instead.
# Run one read-only query; rows print as JSON
pgport query postgres://alice@localhost/shop "SELECT id, name FROM products ORDER BY id"
pgport schemas postgres://alice@localhost/shop
pgport mcp postgres://alice@localhost/shop
pgport --version
Exit codes: 0 on success, 1 when the query, the connection string, or psql itself fails (the error says which), 2 for usage errors.
The connection string is a normal PostgreSQL URL: postgres:// or postgresql://, with host, optional port (default 5432), database name from the path, and optional user and password in the userinfo. For the mcp command the string can be left off the command line and supplied through the PGPORT_DATABASE_URL environment variable instead (plain DATABASE_URL works too).
A query is accepted only if all of these hold:
SELECT or WITH.INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, TRUNCATE, GRANT, REVOKE, COPY, or VACUUM appears as a whole word outside a string literal. Single-quoted literals are blanked out before scanning, so SELECT 'delete me' is a perfectly good query; a column literally named update is not — the guard would rather refuse an odd name than be talked around.Accepted queries run as BEGIN TRANSACTION READ ONLY; ; COMMIT; through psql -v ON_ERROR_STOP=1 --csv, and the CSV output is parsed into row objects. Values come back as the strings psql rendered.
One bin serves both faces. The mcp subcommand starts a stdio MCP server:
npx -y @reneturcios/pgport mcp postgres://alice@localhost/shop
MCP client configuration:
{
"mcpServers": { "pgport": { "command": "npx", "args": ["-y", "@reneturcios/pgport", "mcp"], "env": { "PGPORT_DATABASE_URL": "postgres://alice@localhost/shop" } } } }
| Tool | Input | What it returns |
|---|---|---|
query | sql (string, required) — one read-only SQL statement | The result rows as a JSON array of objects keyed by column name. Guard violations, a missing connection, a missing psql, and database errors all come back as tool errors — never as made-up rows. |
The server deliberately knows nothing about your schema at the MCP layer: ask the database itself, for example SELECT table_name FROM information_schema.tables, or use the CLI schemas command, which groups information_schema.columns rows into a per-table column list.
npm install
npm run build # tsc -> dist/ npm test # node test runner over test/*.test.ts, no network, no live database npm run dev # run the CLI from source via tsx
The core logic lives behind an injectable executor interface, which is what the test suite drives: connection-string parsing, the guard, pass-through querying, error propagation, and schema grouping are all covered with a fake executor.
MIT — see LICENSE.