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)
Token-efficient MCP server for MySQL, PostgreSQL, SQLite, DuckDB, SQL Server, and ClickHouse
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.
DATABASE_URLValues marked secret are keys to your account. Never share them or paste them into a chat.
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Download the maker’s .mcpb file
The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.
Run this in your terminal
Fill in the empty values before running it.
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.
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 rzlco666, 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: DATABASE_URL
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 (2.0.2) reached the registry yesterday.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB 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.
Light strut. Extreme load.
A token-efficient MCP server that lets AI agents query PostgreSQL , MySQL , SQLite , DuckDB , ClickHouse , and SQL Server — safely, in one small Rust binary.
⭐ If this saves you tokens, star the repo — it is the single biggest thing that helps other people find it.
This is the fastest path. It downloads the release binary (SHA256-verified), then configures every AI tool it finds on your machine — Claude Code, Cursor, VS Code, Claude Desktop, Codex, OpenCode, Windsurf, and Zed — so you do not hand-edit a single JSON file. Existing entries for other servers are kept, and every file it touches is backed up first.
curl -fsSL https://raw.githubusercontent.com/rzlco666/strut-stack-sql/main/install.sh | bash -s -- --setup
With your database URL baked in (recommended):
curl -fsSL https://raw.githubusercontent.com/rzlco666/strut-stack-sql/main/install.sh | bash -s -- --setup --database-url 'postgresql://user:pass@localhost:5432/mydb'
Other useful forms:
# Only specific tools
curl -fsSL https://raw.githubusercontent.com/rzlco666/strut-stack-sql/main/install.sh | bash -s -- --setup --tools cursor,vscode,opencode
curl -fsSL https://raw.githubusercontent.com/rzlco666/strut-stack-sql/main/install.sh | bash -s -- --setup --project
curl -fsSL https://raw.githubusercontent.com/rzlco666/strut-stack-sql/main/install.sh | bash -s -- --setup --skip-install
curl -fsSL https://raw.githubusercontent.com/rzlco666/strut-stack-sql/main/install.sh | bash
Then restart your AI tool and ask it:
"List the tables in my database, then show me the 5 most recent orders."
You should see the tables listed, then the 5 most recent orders.
If you run the installer without a URL, configs reference ${env:DATABASE_URL} (or forward it, for Codex) — export DATABASE_URL in the environment that launches your editor before starting it. Full installer reference: docs/INSTALL.md.
No terminal? These links open your editor with the server pre-filled. Replace the placeholder database URL with your own where prompted.
| Client | One-click |
|---|---|
| Cursor | Add to Cursor |
| VS Code | Install in VS Code |
| Claude Desktop | Download the .mcpb bundle for your platform from Releases and open it — it asks for DATABASE_URL and installs itself. |
GitHub does not render cursor:// / vscode: links clickable. If a button above does not open your editor, paste this into your browser's address bar instead:
vscode:mcp/install?%7B%22command%22%3A%22strut-stack-sql%22%2C%22args%22%3A%5B%22--url-env%22%2C%22DATABASE_URL%22%2C%22--full-tools%22%5D%2C%22env%22%3A%7B%22DATABASE_URL%22%3A%22%24%7Binput%3Adatabase_url%7D%22%7D%2C%22inputs%22%3A%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22database_url%22%2C%22description%22%3A%22DATABASE_URL%20for%20strut-stack-sql%20%28e.g.%20postgresql%3A%2F%2Fuser%3Apassword%40localhost%3A5432%2Fdbname%29%22%2C%22password%22%3Atrue%7D%5D%7D
Prefer the installer above. If you configure by hand, every block below is read-only by default: 13 tools (3 core + 10 introspection), no writes, no DDL. Replace DATABASE_URL with your real URL, or keep --url-env DATABASE_URL and export it. Every block is also machine-checked in docs/CLIENTS.md.
claude mcp add --scope user --transport stdio \
--env DATABASE_URL='postgresql://user:pass@localhost:5432/mydb' \ strut-stack-sql -- strut-stack-sql --url-env DATABASE_URL --full-tools
Or in .mcp.json (project) — Claude Code expands ${VAR} here:
{
"mcpServers": { "strut-stack-sql": { "type": "stdio", "command": "strut-stack-sql", "args": ["--url-env", "DATABASE_URL", "--full-tools"], "env": { "DATABASE_URL": "postgresql://user:pass@localhost:5432/mydb" } } } }
Check it with claude mcp get strut-stack-sql (or /mcp inside a session).
Global ~/.cursor/mcp.json, or project .cursor/mcp.json. Cursor interpolates ${env:NAME}, so this works with an exported DATABASE_URL and no secret in the file:
{
"mcpServers": { "strut-stack-sql": { "type": "stdio", "command": "strut-stack-sql", "args": ["--url-env", "DATABASE_URL", "--full-tools"], "env": { "DATABASE_URL": "${env:DATABASE_URL}" } } } }
Workspace .vscode/mcp.json (or the user configuration via MCP: Open User Configuration). Note: VS Code uses a top-level servers object, not mcpServers — do not paste a Cursor block here unchanged:
{
"servers": { "strut-stack-sql": { "type": "stdio", "command": "strut-stack-sql", "args": ["--url-env", "DATABASE_URL", "--full-tools"], "env": { "DATABASE_URL": "${env:DATABASE_URL}" } } } }
claude_desktop_config.json (~/Library/Application Support/Claude/ on macOS, ~/.config/Claude/ on Linux):
{
"mcpServers": { "strut-stack-sql": { "command": "strut-stack-sql", "args": ["--url-env", "DATABASE_URL", "--full-tools"], "env": { "DATABASE_URL": "postgresql://user:pass@localhost:5432/mydb" } } } }
~/.codex/config.toml (or project .codex/config.toml). Codex uses TOML, not JSON:
[mcp_servers.strut-stack-sql]
command = "strut-stack-sql" args = ["--url-env", "DATABASE_URL", "--full-tools"] env = { DATABASE_URL = "postgresql://user:pass@localhost:5432/mydb" } startup_timeout_sec = 20
No URL in the file? Use env_vars = ["DATABASE_URL"] instead of env to forward it from Codex's environment.
The CLI is the version-proof path (it writes the right shape for your OpenCode):
opencode mcp add strut-stack-sql --env DATABASE_URL='postgresql://user:pass@localhost:5432/mydb' -- strut-stack-sql --url-env DATABASE_URL --full-tools
Or in opencode.json (global ~/.config/opencode/opencode.json, or project root). command is one array and env vars go in environment, not env:
{
"$schema": "https://opencode.ai/config.json", "mcp": { "strut-stack-sql": { "type": "local", "command": ["strut-stack-sql", "--url-env", "DATABASE_URL", "--full-tools"], "enabled": true, "environment": { "DATABASE_URL": "postgresql://user:pass@localhost:5432/mydb" }, "timeout": 30000 } } }
Verify with opencode mcp list. On OpenCode v2, if the server does not appear, nest it under mcp.servers instead of directly under mcp.
~/.config/devin/mcp_config.json (current builds; older builds read ~/.codeium/windsurf/mcp_config.json — use whichever Open MCP config file in Cascade opens):
{
"mcpServers": { "strut-stack-sql": { "command": "strut-stack-sql", "args": ["--url-env", "DATABASE_URL", "--full-tools"], "env": { "DATABASE_URL": "postgresql://user:pass@localhost:5432/mydb" } } } }
Press refresh in Cascade after editing.
~/.config/zed/settings.json (merged under context_servers, everything else kept):
{
"context_servers": { "strut-stack-sql": { "command": "strut-stack-sql", "args": ["--url-env", "DATABASE_URL", "--full-tools"], "env": { "DATABASE_URL": "postgresql://user:pass@localhost:5432/mydb" } } } }
This is the whole contract — stdio, one binary, one env var:
{
"mcpServers": { "strut-stack-sql": { "command": "strut-stack-sql", "args": ["--url-env", "DATABASE_URL", "--full-tools"], "env": { "DATABASE_URL": "postgresql://user:pass@localhost:5432/mydb" } } } }
Once your AI tool shows the server as connected, these prompts exercise the whole surface. Start read-only; writes and DDL stay off until you explicitly enable them (see Tools).
"List the tables in my database, with row counts."
"Show me the schema of the orders table, including its foreign keys." "Why is this query slow, and which index would fix it?" (paste any SELECT — analyze_query_performance returns an EXPLAIN tree, tiered findings, and index advice; the advice is text only, never executed) "Find every table that references customers.id."
What the agent sees: execute_sql returns columnar JSON — column names once, compact meta:
{
"ok": true, "data": { "cols": ["id", "email", "name"], "rows": [[42, "ada@example.com", "Ada"]], "meta": { "n": 1, "truncated": false, "limit_injected": true } } }
Smoke-test the binary itself (no database needed) — a JSON initialize response means the server speaks MCP:
echo '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-06-18","capabilities":{},"clientInfo":{"name":"smoke","version":"0"}}}' \
| strut-stack-sql --url 'sqlite::memory:' --full-tools
One URL, one flag. Credentials belong in the environment (or .env discovery in your project), never in a pasted config — prefer --url-env DATABASE_URL.
| Engine | URL format | Notes |
|---|---|---|
| PostgreSQL | postgresql://user:pass@host:5432/dbname | |
| MySQL / MariaDB | mysql://user:pass@host:3306/dbname | mariadb engine hint maps here |
| SQLite | sqlite:///absolute/path/app.db, sqlite::memory: | Constrain files with --sqlite-allowlist DIR[,DIR…] |
| DuckDB | duckdb:///absolute/path/analytics.duckdb, `duckdb::memory
Only the beginning is shown; read the rest in the repo