Supabase
Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.
Description from the maker (original English)
SQLite database access for agents: query, write, create and describe tables, record insights.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"litebase": {
"command": "npx",
"args": [
"-y",
"@reneturcios/litebase",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add litebase -- npx -y @reneturcios/litebase mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"litebase": {
"command": "npx",
"args": [
"-y",
"@reneturcios/litebase",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"litebase": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/litebase",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account CloudCorpRecords, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 10 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.
In the same category: Supabase, MongoDB MCP Server, Elasticsearch MCP Server
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.
MongoDB Model Context Protocol Server
MCP server for interacting with Elasticsearch
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.