Supabase
MCP server for interacting with the Supabase platform
제작자가 쓴 설명(영어 원문)
Persistent semantic memory for SQL databases. Postgres, MySQL, MSSQL, SQLite.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"amnesic": {
"command": "uvx",
"args": [
"amnesic"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add amnesic -- uvx amnesic프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"amnesic": {
"command": "uvx",
"args": [
"amnesic"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"amnesic": {
"type": "stdio",
"command": "uvx",
"args": [
"amnesic"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 SurajKGoyal 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.2.2)은 5개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.
같은 카테고리에는: Supabase, MongoDB MCP Server, Elasticsearch MCP Server
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP server for interacting with the Supabase platform
MongoDB Model Context Protocol Server
MCP server for interacting with Elasticsearch
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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.json앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요