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Amnesic

by SurajKGoyalversion 0.2.2i★ –iRuns on your computer
Registry nameio.github.SurajKGoyal/amnesic

Install

Overview

Description from the maker (original English)

Persistent semantic memory for SQL databases. Postgres, MySQL, MSSQL, SQLite.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Databases & datasets

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

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 amnesic

Open in Cursor

Or copy the settings yourself

Paste 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.

Open in VS Code

Or copy the settings yourself

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.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account SurajKGoyal, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Databases & datasetsi

  • More stars than 0% of the other 1143 servers in this category
  • Published to the registry more recently than 15% of the other 1143 servers in this category
  • Basic checks equal to or better than 100% of the other 1143 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Amnesic safe?

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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.2) reached the registry 5 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Supabase, MongoDB MCP Server, Elasticsearch MCP Server

Alternatives

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

by supabase

Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.

Computer or cloud★ 2,993Apache-2.0Updated yesterday
Install

MongoDB MCP Server

by mongodb-js

MongoDB Model Context Protocol Server

Runs on your computer★ 1,157Apache-2.0Updated 3 days ago
Install

README from the maker

Open the README

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.

amnesic — the MCP server with the most ironic name in the registry

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 a WITH CTE. 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 ↓


The problem

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.


Where amnesic fits

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.

Honest comparison
amnesicQuery executorsEnterprise catalogs
Semantic context (what a value *means*)✅ persistent, yours❌ none✅ platform-managed
Survives across sessions✅❌✅
Portable / outlives DB access✅ export/import❌⚠️ platform-bound
Setup costone commandone commandingestion 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 ↓.


Quickstart (90 seconds)

pipx install amnesic            # install the core

amnesic init # interactive wizard

⚡ Try it without credentials. Run amnesic init --demo instead — 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:

  • Asks for your database type, host, and credentials
  • Tests the connection before saving anything
  • Stores the password securely in ~/.config/amnesic/.env (chmod 600)
  • Writes the connection block to ~/.config/amnesic/connections.toml

Then 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 init asks 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.

Where amnesic stores things
FilemacOS / LinuxWindows
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.

Adding more connections later
amnesic add          # add another connection to existing config

amnesic test # verify all connections amnesic test orders.prod # verify one connection

Setting and rotating passwords

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 nameGenerated env var
orders.prodORDERS_PROD_PASSWORD
analyticsANALYTICS_PASSWORD
drive.stagingDRIVE_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.

Managing connections and knowledge

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 +

relationships, not the re-derivable schema cache) as portable JSON:

amnesic export orders.prod -o orders-knowledge.json amnesic export orders.prod # or print to stdout to pipe/redirect

Load that knowledge into another connection (e.g. promote staging → prod,

or onboard a teammate). Unconditional upsert — existing entries are overwritten:

amnesic import orders.prod orders-knowledge.json

Wipe stored knowledge for a connection but keep the config entry:

amnesic clear orders.staging

Drop a connection from connections.toml entirely (knowledge file kept

unless you pass --delete-knowledge):

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.


Add to your AI client

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:

Claude Code

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" } } }

Claude Desktop

Add to your platform's Claude Desktop config:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • Linux: `~/.config/Claude/claude_de

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