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)
MCP server for Oracle, MSSQL, PostgreSQL, MySQL, SQLite, MongoDB, and Qdrant vector search access.
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.
MCP_DB_CONFIGValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"db-connect": {
"command": "npx",
"args": [
"-y",
"mcp-db-connect",
"start"
],
"env": {
"MCP_DB_CONFIG": "your-value"
}
}
}
}Run this in your terminal
claude mcp add db-connect --env MCP_DB_CONFIG=your-value -- npx -y mcp-db-connect startFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"db-connect": {
"command": "npx",
"args": [
"-y",
"mcp-db-connect",
"start"
],
"env": {
"MCP_DB_CONFIG": "your-value"
}
}
}
}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": {
"db-connect": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"mcp-db-connect",
"start"
],
"env": {
"MCP_DB_CONFIG": "your-value"
}
}
}
}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.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
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 7, 2026
The registry name was verified with the GitHub account phatngoit, 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.
You need to fill in: MCP_DB_CONFIG
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 (0.1.21) reached the registry 3 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js 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.
Universal MCP server for readonly-first access to Oracle Database, Microsoft SQL Server, PostgreSQL, MySQL/MariaDB, SQLite, MongoDB, and Qdrant vector search.
This project is designed for AI tools that support the Model Context Protocol. Projects can install it, provide a YAML config, and expose safe database tools to their AI client.
Oracle connections use the Node.js oracledb Thin mode by default, so Oracle Instant Client is not required for most databases. Some Oracle databases use NCHAR character sets that Thin mode cannot handle; those databases require Oracle Thick mode with Oracle Client libraries.
By default, commands run from a project directory automatically use:
mcp-db.local.yml, then mcp-db.yml, then mcp-db.yaml.env$out and $merge blocking in readonly modeDockerfile, published to GHCR on release)1. Install the package
Node / TypeScript projects (local install):
npm install --save-dev mcp-db-connect
.NET, Python, or other non-Node projects (global install):
npm install -g mcp-db-connect
2. Run the setup wizard
npx mcp-db-connect setup
The wizard asks which AI clients and databases to configure, then asks for one connection string per database (the same string your DB host, hosting provider, or existing app config already gives you) and writes all config files automatically.
3. Test your connections
npx mcp-db-connect test-connections
That's it — your AI client is now connected to your databases.
mcp-db.local.yml # database connection config
.env # local secrets .gitignore # keeps secrets and local config out of git .mcp.json # Claude Code MCP config (if selected) .codex/config.toml # Codex CLI config (if selected) .gemini/settings.json # Gemini CLI config (if selected) .kimi/mcp.json # Kimi CLI config (if selected)
Skip the wizard with explicit flags:
npx mcp-db-connect setup --ai claude,codex --db mssql,mongodb
Overwrite existing config entries:
npx mcp-db-connect setup --force
Start an HTTP MCP endpoint instead of stdio:
npx mcp-db-connect serve-http --host 127.0.0.1 --port 3000
npx mcp-db-connect serve-http --api-key-env MCP_DB_HTTP_API_KEY
All examples assume the AI CLI is started from your application project root.
Recommended automatic setup:
mcp-db-connect setup --ai claude --db mssql
The generated .mcp.json uses npx so it works whether the package is installed globally or locally.
npm install -g mcp-db-connect)mcp-db-connect is in PATH and can be used directly:
claude mcp add --transport stdio db-connect --scope local -- mcp-db-connect start --project . --config ./mcp-db.local.yml --env ./.env
.mcp.json:
{
"mcpServers": { "db-connect": { "command": "mcp-db-connect", "args": ["start", "--project", ".", "--config", "./mcp-db.local.yml", "--env", "./.env"], "env": { "LOG_LEVEL": "silent" } } } }
npm install --save-dev mcp-db-connect)Use npx so Claude Code can find the binary inside node_modules/.bin:
claude mcp add --transport stdio db-connect --scope local -- npx mcp-db-connect start --project . --config ./mcp-db.local.yml --env ./.env
.mcp.json:
{
"mcpServers": { "db-connect": { "command": "npx", "args": ["mcp-db-connect", "start", "--project", ".", "--config", "./mcp-db.local.yml", "--env", "./.env"], "env": { "LOG_LEVEL": "silent" } } } }
Recommended automatic setup:
mcp-db-connect setup --ai codex --db mssql,oracle,mongodb
npm --prefix .\.mcp-tools\db-connect install codex
Project .codex/config.toml:
[mcp_servers.db-connect]
command = '.\.mcp-tools\db-connect\node_modules\.bin\mcp-db-connect.cmd' args = ["start", "--project", ".", "--config", '.\mcp-db.local.yml', "--env", '.\.env'] enabled = true
[mcp_servers.db-connect.env] LOG_LEVEL = "silent"
The .mcp-tools/db-connect/package.json file created by the wizard uses mcp-db-connect from npm. Run the install command above once per project.
Recommended automatic setup:
mcp-db-connect setup --ai gemini --db mongodb
gemini
Project .gemini/settings.json:
{
"mcpServers": { "db-connect": { "command": "npx", "args": ["mcp-db-connect", "start", "--project", ".", "--config", "./mcp-db.local.yml", "--env", "./.env"], "env": { "LOG_LEVEL": "silent" } } } }
Recommended automatic setup:
mcp-db-connect setup --ai kimi --db oracle
kimi --mcp-config-file .\.kimi\mcp.json
Project .kimi/mcp.json:
{
"mcpServers": { "db-connect": { "command": "npx", "args": ["mcp-db-connect", "start", "--project", ".", "--config", "./mcp-db.local.yml", "--env", "./.env"], "env": { "LOG_LEVEL": "silent" } } } }
Kimi CLI can also manage global MCP servers with kimi mcp add, but the project-local file above keeps this database MCP scoped to one project.
For clients that accept the common MCP JSON format:
mcp-db-connect setup --ai generic --db mssql
Use .mcp-db-connect/mcp.json:
{
"mcpServers": { "db-connect": { "command": "npx", "args": ["mcp-db-connect", "start", "--project", ".", "--config", "./mcp-db.local.yml", "--env", "./.env"], "env": { "LOG_LEVEL": "silent" } } } }
Use this endpoint for MCP clients or agents that support Streamable HTTP:
http://127.0.0.1:3000/mcp
Health check:
http://127.0.0.1:3000/healthz
security:
defaultMaxRows: 100 queryTimeoutMs: 10000 blockMultiStatement: true allowWriteOperations: false maskColumns:
connections: mssql_report: type: mssql host: 172.27.62.7 port: 1433 database: Internet username: report_reader passwordEnv: MSSQL_REPORT_PASSWORD encrypt: true trustServerCertificate: true mode: readonly
mssql_write_model: type: mssql host: 172.27.62.8 port: 1444 database: InternetWrite username: writer_user passwordEnv: MSSQL_WRITE_PASSWORD encrypt: true trustServerCertificate: true mode: readonly
oracle_local: type: oracle host: localhost port: 1521 serviceName: ORCLPDB1 username: app_readonly passwordEnv: ORACLE_PASSWORD clientMode: thin mode: readonly
mssql_local: type: mssql host: localhost port: 1433 database: appdb username: sa passwordEnv: MSSQL_PASSWORD encrypt: true trustServerCertificate: true mode: readonly
mongo_local: type: mongodb uriEnv: MONGODB_URI database: appdb mode: readonly
postgres_local: type: postgres host: localhost port: 5432 database: appdb username: app_readonly passwordEnv: POSTGRES_PASSWORD mode: readonly
mysql_local: type: mysql host: localhost port: 3306 database: appdb username: app_readonly passwordEnv: MYSQL_PASSWORD mode: readonly
qdrant_local: type: qdrant url: http://localhost:6333 apiKeyEnv: QDRANT_API_KEY mode: readonly
sqlite_local: type: sqlite file: ./data/appdb.sqlite mode: readonly
SQLite has no host/port/username — file is a path to the database file (relative paths resolve against the process's working directory), and :memory: is also accepted for an ephemeral in-process database.
MongoDB stores the selected port inside the URI saved in .env, for example:
MONGODB_URI=mongodb://user:password@localhost:27018/appdb
Default Oracle setup uses clientMode: thin and does not need Oracle Instant Client:
connections:
oracle_local: type: oracle host: localhost port: 1521 serviceName: ORCLPDB1 username: app_readonly passwordEnv: ORACLE_PASSWORD clientMode: thin
Oracle Instant Client is not required. If the database has NCHAR/NVARCHAR2 columns with NLS_NCHAR_CHARACTERSET = AL16UTF16, the connector automatically rewrites the query to cast those columns to VARCHAR2 server-side so Thin mode can handle them.
Oracle, MSSQL, PostgreSQL, and MySQL/MariaDB also accept a raw connection string instead of host/port/database/username:
connections:
mssql_from_string: type: mssql connectionStringEnv: MSSQL_FROM_STRING_CONNECTION_STRING mode: readonly
oracle_from_string: type: oracle connectDescriptor: (DESCRIPTION=(ADDRESS_LIST=(ADDRESS=(PROTOCOL=TCP)(HOST=10.20.30.15)(PORT=1521)))(CONNECT_DATA=(SERVER=POOLED)(SERVICE_NAME=DEMOPDB1))) username: demo_ora_user passwordEnv: ORACLE_FROM_STRING_PASSWORD mode: readonly
postgres_from_string: type: postgres connectionStringEnv: POSTGRES_FROM_STRING_CONNECTION_STRING mode: readonly
mysql_from_string: type: mysql connectionStringEnv: MYSQL_FROM_STRING_CONNECTION_STRING mode: readonly
connectionStringEnv points to a full ADO/tedious connection string (MSSQL), a postgres://user:password@host:5432/database URI (PostgreSQL), or a mysql://user:password@host:3306/database URI (MySQL/MariaDB) in .env (same convention as MongoDB's uriEnv). connectDescriptor holds an Oracle TNS connect descriptor or Easy Connect string and is not secret — only the password goes in .env. The setup wizard generates these automatically from a pasted connection string; both forms can also still be hand-written using the structured host/port/... fields shown above.
PostgreSQL and MySQL/MariaDB connections also accept ssl: true (with rejectUnauthorized: false for self-signed certificates common on managed database providers).
Every command that loads config (start, serve-http, validate-config, test-connections) also accepts the entire config document — the same security + connections structure normally stored in mcp-db.local.yml — as YAML or JSON in the MCP_DB_CONFIG environment variable, instead of a file:
export MCP_DB_CONFIG='
connections: postgres_demo: type: postgres host: db.example.com port: 5432 database: appdb username: app_readonly password: change-me mode: readonly ' mcp-db-connect serve-http --host 0.0.0.0 --port 3000
When MCP_DB_CONFIG is set, --config/mcp-db.local.yml/mcp-db.yml/mcp-db.yaml file discovery is skipped entirely — no file needs to exist. This is what lets container platforms that can't mount a project file into the container (Smithery.ai and similar hosted MCP platforms
Only the beginning is shown; read the rest in the repo