Supabase
MCP server for interacting with the Supabase platform
作者提供的说明(英文原文)
SQLite database access for agents: query, write, create and describe tables, record insights.
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": {
"litebase": {
"command": "npx",
"args": [
"-y",
"@reneturcios/litebase",
"mcp"
]
}
}
}在终端中运行这条命令
claude mcp add litebase -- npx -y @reneturcios/litebase mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"litebase": {
"command": "npx",
"args": [
"-y",
"@reneturcios/litebase",
"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": {
"litebase": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/litebase",
"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9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。
litebase gives you a SQLite database you can drive from a terminal or hand to an agent as an MCP server. It covers the everyday loop of working with a small database: create tables, put rows in, change them, read them back, check what a table looks like, and keep a running memo of what you learned from the data along the way.
There is nothing to provision and no native addon to compile: the storage engine is the SQLite library built into Node itself (node:sqlite), so a "database" is just a file path — or :memory: when you want a throwaway one.
npx @reneturcios/litebase tables ./data.db
Or run the container image:
docker run -i ghcr.io/cloudcorprecords/litebase
The container defaults to the MCP server (see below). Pass CLI arguments to use it as a CLI instead.
litebase's engine is Node's built-in node:sqlite module, which only exists in Node 22.5 and newer. The package's engines field says >=20 because that is the fleet standard, but that is an honest gap: on Node 20 the CLI and server start, and then fail the moment a database is opened, with an error that names the Node >= 22.5 requirement. Use Node 22.5+ (Node 24 recommended) to actually read or write data.
# List the user tables in a database file
litebase tables ./data.db
litebase query ./data.db "SELECT id, name FROM users ORDER BY id"
litebase --version
Which database the MCP server opens is resolved in this order: the path argument after mcp, then the LITEBASE_DB environment variable, then ./litebase.db in the current directory.
Exit codes: 0 on success, 1 when a query or the database itself errors (the message says why), 2 for usage errors.
One bin serves both faces. The mcp subcommand starts a stdio MCP server:
npx -y @reneturcios/litebase mcp ./data.db
MCP client configuration:
{
"mcpServers": { "litebase": { "command": "npx", "args": ["-y", "@reneturcios/litebase", "mcp", "./data.db"] } } }
The database is opened lazily on the first tool call, so starting the server never creates a file by itself.
| Tool | Input | What it does |
|---|---|---|
read_query | query (string, required) | Runs one SELECT (or WITH ... SELECT) statement and returns the column names plus the rows as objects. |
write_query | query (string, required) | Runs one INSERT, UPDATE, or DELETE statement and reports how many rows were affected and the last insert rowid. |
create_table | query (string, required) | Runs one CREATE TABLE statement. |
list_tables | — | Lists the database's user tables (SQLite's internal sqlite_% tables are hidden). |
describe_table | table_name (string, required) | Returns a table's columns with their declared types, nullability, defaults, and primary-key flags. |
append_insight | insight (string, required) | Adds a note to the in-memory insights memo and returns the full memo text so far. |
Each tool only accepts the kind of statement it is for, and only one statement at a time:
read_query rejects anything that does not start with SELECT or WITH.write_query rejects SELECT, CREATE, DROP, and everything else that is not INSERT, UPDATE, or DELETE.create_table rejects anything that is not CREATE TABLE.; is rejected before anything executes.describe_table only accepts a plain table name (letters, digits, underscores) — the name goes into a PRAGMA, so it is validated rather than parameterised.Guard rejections and SQL errors come back as tool errors with a message naming the problem; nothing is executed on a rejected call.
append_insight keeps a numbered memo on the server instance: every call appends one insight and returns the whole memo, so an agent can build up findings during an analysis session and read them back as a single text. The memo lives in memory only — it is not written to the database file and does not survive a server restart.
npm install
npm run build # tsc -> dist/ npm test # node test runner over test/*.test.ts, no network npm run dev # run the CLI from source via tsx
Tests run against in-memory and temporary-file databases; no network access is needed.
MIT — see LICENSE.