Supabase
MCP server for interacting with the Supabase platform
作者提供的说明(英文原文)
Execute SQL and inspect tables, views, schemas and more on a configured 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": {
"databridge-kit": {
"command": "npx",
"args": [
"-y",
"@reneturcios/databridge-kit",
"mcp"
]
}
}
}在终端中运行这条命令
claude mcp add databridge-kit -- npx -y @reneturcios/databridge-kit mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"databridge-kit": {
"command": "npx",
"args": [
"-y",
"@reneturcios/databridge-kit",
"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": {
"databridge-kit": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/databridge-kit",
"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6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
MongoDB Model Context Protocol Server
MCP server for interacting with Elasticsearch
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。
databridge-kit is a small bridge between an agent (or a terminal) and one configured PostgreSQL database. It can run a single SQL statement and answer the seven inspection questions that come up constantly while exploring an unfamiliar database: which tables, views, schemas, triggers, indexes, sequences and stored procedures exist.
The toolset mirrors the documented prebuilt Postgres toolset of a config-defined database toolbox: the tools are fixed, the database is whatever the connection string points at. There is no bundled database driver — statements run through 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 tools; only the calls themselves report the problem.
npx @reneturcios/databridge-kit list-tables postgres://user@localhost:5432/mydb
Or run the container image:
docker run -i ghcr.io/cloudcorprecords/databridge-kit
The container defaults to the MCP server (see below). Pass CLI arguments to use it as a CLI instead.
# Run one SQL statement; rows print as JSON
databridge-kit execute-sql postgres://alice@localhost/shop "SELECT id, name FROM products ORDER BY id"
databridge-kit list-tables postgres://alice@localhost/shop databridge-kit list-views postgres://alice@localhost/shop databridge-kit list-schemas postgres://alice@localhost/shop databridge-kit list-triggers postgres://alice@localhost/shop databridge-kit list-indexes postgres://alice@localhost/shop databridge-kit list-sequences postgres://alice@localhost/shop databridge-kit list-stored-procedures postgres://alice@localhost/shop
databridge-kit mcp postgres://alice@localhost/shop
databridge-kit --version
Exit codes: 0 on success, 1 when the statement, 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 DATABRIDGE_DATABASE_URL environment variable instead (plain DATABASE_URL works too).
execute_sql accepts exactly one statement per call. Semicolons inside string literals and comments do not count as statement boundaries, but a second real statement is rejected before anything reaches the database. The statement type is not restricted — this is a general bridge, so a caller who can reach it can write as well as read; point it only at databases where that is intended.
Each inspection tool runs one fixed catalogue query:
| Tool | Catalogue read |
|---|---|
list_tables | information_schema.tables (base tables) |
list_views | information_schema.views |
list_schemas | information_schema.schemata |
list_triggers | information_schema.triggers |
list_indexes | pg_indexes |
list_sequences | information_schema.sequences |
list_stored_procedure | information_schema.routines |
Statements run as psql -v ON_ERROR_STOP=1 --csv -c 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/databridge-kit mcp postgres://alice@localhost/shop
MCP client configuration:
{
"mcpServers": { "databridge-kit": { "command": "npx", "args": ["-y", "@reneturcios/databridge-kit", "mcp"], "env": { "DATABRIDGE_DATABASE_URL": "postgres://alice@localhost/shop" } } } }
| Tool | Input | What it returns |
|---|---|---|
execute_sql | sql (string, required) — one SQL statement | The result rows as a JSON array of objects keyed by column name. |
list_tables | — | Rows describing the base tables in the configured source. |
list_views | — | Rows describing the views in the configured source. |
list_schemas | — | Rows describing the schemas in the configured source. |
list_triggers | — | Rows describing the triggers in the configured source. |
list_indexes | — | Rows describing the indexes in the configured source. |
list_sequences | — | Rows describing the sequences in the configured source. |
list_stored_procedure | — | Rows describing the stored procedures (routines) in the configured source. |
A missing connection, a missing psql, a multi-statement execute_sql, and database errors all come back as tool errors — never as made-up rows.
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 sits behind an injectable executor interface, which is what the test suite drives: connection-string parsing, the single-statement check, pass-through execution, error propagation, and the exact catalogue SQL behind every inspection tool are all covered with a fake executor.
MIT — see LICENSE.