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)
Persistent semantic memory for SQL databases. Postgres, MySQL, MSSQL, SQLite.
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
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": {
"amnesic": {
"command": "uvx",
"args": [
"amnesic"
]
}
}
}Run this in your terminal
claude mcp add amnesic -- uvx amnesicPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"amnesic": {
"command": "uvx",
"args": [
"amnesic"
]
}
}
}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": {
"amnesic": {
"type": "stdio",
"command": "uvx",
"args": [
"amnesic"
]
}
}
}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 8, 2026
The registry name was verified with the GitHub account SurajKGoyal, 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 (0.2.2) reached the registry 5 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) 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.
Your database's institutional memory, as an MCP server. The name is ironic — it remembers everything.
*"The MCP server with the most ironic name in the registry. It's anything but amnesic — it remembers your database so your AI doesn't have to."*
Most database MCP servers are query executors: they connect, introspect, run SQL, and forget. amnesic is a semantic memory — it accumulates what your schema *means* (what status = 3 is, which columns are really foreign keys, what that legacy table is for) and hands it to every future session automatically. Think data catalog, minus the platform, the ingestion pipeline, and the invoice. Where amnesic fits ↓
Works with Claude Code · Claude Desktop · Cursor · VS Code · Cline · Windsurf — any MCP-compatible client.
Available on Official MCP Registry · Claude Code plugin marketplace
👋 Using amnesic? Say hi in the adopters thread — download counts can't tell me what's actually being used, and it directly shapes what gets built next.
🔒 Read-only by design. amnesic refuses to execute
INSERT,UPDATE,DELETE,DROP,TRUNCATE,ALTER,CREATE,EXEC,MERGE,GRANT,REVOKE— and any write statement smuggled inside aWITHCTE. Two layers of defense: static SQL analysis rejects the statement before connecting, and every query runs inside a transaction that is immediately rolled back. Safe to point at prod. Details ↓
Every session with an AI starts cold. You spend the first few minutes re-explaining what tables exist, what a status column value of 3 means, which FK connects orders to users. Then the session ends, and you do it all over again tomorrow.
amnesic fixes this. It gives your AI a persistent SQLite knowledge store — one per database — that survives across sessions. Annotate a status enum once; every future session sees those labels automatically. Discover FK relationships once; every future JOIN query uses that graph.
The knowledge is also portable and outlives your access to the database. When you rotate off a project, amnesic export hands the next developer everything you taught it — years of "oh, that column actually means…" that would otherwise leave with you.
The database MCP ecosystem splits into two camps, and amnesic is deliberately in neither.
Query executors — DBHub, Postgres MCP Pro, Google's MCP Toolbox, and the vendor servers (Supabase, Neon). They introspect live, run SQL, and some go deep on performance — Postgres MCP Pro does genuine index tuning and PgHero-style health checks. They are excellent at this. They are also stateless: every session re-learns your schema from scratch, and nothing they return can tell you what a column *means*, because the database doesn't know either.
Enterprise catalogs — DataHub, Atlan, Cube, AtScale. These *do* hold semantic context: glossaries, column descriptions, ownership, lineage. They're also a platform commitment — metadata ingestion, a service to run, usually a paid tier. Worth it at company scale; wildly disproportionate for one developer who needs to remember what six status codes mean in a legacy MSSQL database nobody will ever onboard to a catalog.
amnesic is the third thing: catalog-grade semantic memory at query-executor setup cost. pipx install, one TOML file, a local SQLite file per database. No platform, no ingestion, no server to run.
| amnesic | Query executors | Enterprise catalogs | |
|---|---|---|---|
| Semantic context (what a value *means*) | ✅ persistent, yours | ❌ none | ✅ platform-managed |
| Survives across sessions | ✅ | ❌ | ✅ |
| Portable / outlives DB access | ✅ export/import | ❌ | ⚠️ platform-bound |
| Setup cost | one command | one command | ingestion pipeline |
| Live schema freshness | ⚠️ cached, manual refresh | ✅ always live | ⚠️ ingestion lag |
| Execution plans / index tuning | ❌ | ✅ (Postgres MCP Pro) | ❌ |
| Lineage / ownership / governance | ❌ | ❌ | ✅ |
| Works on legacy schemas with no FK constraints | ✅ annotate them yourself | ❌ nothing to introspect | ⚠️ needs ingestion |
Use a query executor instead of amnesic if you want execution plans, index recommendations, or database health diagnostics — that's not amnesic's job and adding it would make it a worse version of a tool that already exists.
Use amnesic alongside one. They compose: nothing stops you running both. amnesic holds the meaning; they hold the machinery.
The rows marked ⚠️ above are known gaps with open issues — see Roadmap ↓.
pipx install amnesic # install the core
amnesic init # interactive wizard
⚡ Try it without credentials. Run
amnesic init --demoinstead — it adds a self-contained SQLite sample DB (e-commerce schema: customers / products / orders with FKs and an enum column) so you can exercise every tool in under a minute. Great for a first look before pointing amnesic at a real database.
The wizard asks which database type you're connecting to and tells you the one command to run if its driver isn't installed yet — you never need to guess extras up front.
The wizard:
~/.config/amnesic/.env (chmod 600)~/.config/amnesic/connections.tomlThen add amnesic to your AI client and restart.
Don't have pipx ? Or prefer uv / plain pip ?
Install `pipx` (one-time):
brew install pipx # macOS
sudo apt install pipx # Linux (Debian/Ubuntu) python -m pip install --user pipx # Windows / generic
Or use `uv` (single-binary alternative — fast, no Python required):
brew install uv # macOS
curl -LsSf https://astral.sh/uv/install.sh | sh # Linux / macOS powershell -c "irm https://astral.sh/uv/install.ps1 | iex" # Windows
uv tool install amnesic
Or plain `pip` (installs into your active Python env):
pip install amnesic
Whichever you pick,
amnesic initasks which database you'll connect to and prints the one extra command to install that driver — no need to commit to extras up front.
After install, amnesic --help works from any terminal.
| File | macOS / Linux | Windows |
|---|---|---|
| Config | ~/.config/amnesic/connections.toml | %APPDATA%\amnesic\connections.toml |
| Secrets | ~/.config/amnesic/.env (chmod 600) | %APPDATA%\amnesic\.env (user profile ACL) |
| Knowledge | ~/.config/amnesic/knowledge_ .db | %APPDATA%\amnesic\knowledge_ .db |
Set $AMNESIC_HOME (or $XDG_CONFIG_HOME on Linux) to override the location.
amnesic add # add another connection to existing config
amnesic test # verify all connections amnesic test orders.prod # verify one connection
amnesic init and amnesic add save your password automatically — for the typical setup flow, you never need to think about this section.
Use set-secret when you need to change a stored password later — IT rotated it, you mistyped it during setup, or you're hand-editing the config.
$ amnesic set-secret ORDERS_PROD_PASSWORD
Value: ** ← hidden input (your typing is invisible) Confirm: ** ✓ Set ORDERS_PROD_PASSWORD in ~/.config/amnesic/.env
What's the variable name? It's the env var your connections.toml references for that connection's password. The wizard auto-generates these as _PASSWORD:
| Connection name | Generated env var |
|---|---|
orders.prod | ORDERS_PROD_PASSWORD |
analytics | ANALYTICS_PASSWORD |
drive.staging | DRIVE_STAGING_PASSWORD |
To see the exact name your config uses, check ~/.config/amnesic/connections.toml — anything inside ${...} is the variable to pass to set-secret.
Under the hood: writes (or replaces) the line in ~/.config/amnesic/.env, sets file permission to chmod 600 (only your user can read it), preserves all other entries.
Knowledge accumulates per connection in a local SQLite file. These commands let you move it between machines and clean up:
# Hand off everything you've taught amnesic about a database (annotations +
amnesic export orders.prod -o orders-knowledge.json amnesic export orders.prod # or print to stdout to pipe/redirect
amnesic import orders.prod orders-knowledge.json
amnesic clear orders.staging
amnesic remove old.connection amnesic remove old.connection --delete-knowledge
export/import/clear/remove operate purely on local files — they never connect to the database, so they work even if a connection's credentials aren't set. remove edits connections.toml with surgical string edits, leaving every other block's formatting and comments byte-for-byte intact.
Once amnesic is installed with the right driver extras (see Quickstart), the amnesic command is on your PATH. Use the same snippet across every MCP client:
One-line install (recommended — no JSON editing). Inside Claude Code:
/plugin marketplace add https://github.com/SurajKGoyal/amnesic-marketplace
/plugin install amnesic@amnesic
That wires amnesic as an MCP server automatically. Source: SurajKGoyal/amnesic-marketplace.
Or wire it by hand — edit ~/.claude/mcp.json
{
"mcpServers": { "amnesic": { "command": "amnesic" } } }
Add to your platform's Claude Desktop config:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.jsonOnly the beginning is shown; read the rest in the repo