Amber

Name: Amber
Author: ambermem

by ambermemversion 1.1.1439i★ –iRuns in the cloud

Registry namecom.ambermem/amber

Install

Overview

Description from the maker (original English)

Long-term memory for AI assistants: permanent, portable across clients, searchable and exportable.

PopNx MCP’s three pillars

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

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi3 of 3 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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 in the cloud
Transport: Streamable HTTP
Category: Search & AI memory

Install

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

Before you install

Basic checks: 3 of 3 passed
Runs on the maker’s server: what you ask it goes through their server.
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://mcp.ambermem.com

Run this in your terminal

claude mcp add --transport http amber https://mcp.ambermem.com

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "amber": {
      "url": "https://mcp.ambermem.com"
    }
  }
}

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": {
    "amber": {
      "type": "http",
      "url": "https://mcp.ambermem.com"
    }
  }
}

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.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://mcp.ambermem.com

Menu names can differ slightly by plan and over time.

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

The server asks you to sign in before it lists its tools.

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 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified against the domain ambermem.com (the registry checks domain ownership)
… 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
✓ Pass
Endpoint responds
Responded in 244 ms (HTTP 401)
✓ Pass
Sign-in with OAuth
Declares OAuth sign-in, so your AI app can take you to log in
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Search & AI memoryi

More stars than 0% of the other 7247 servers in this category
Published to the registry more recently than 97% of the other 7247 servers in this category
Basic checks equal to or better than 100% of the other 7247 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 Amber safe?

It passed 3 of 3 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 in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.1.1439) reached the registry yesterday.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated today

Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago

Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month

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.

Amber

Long-term memory for AI assistants.

Amber is an MCP server that gives any AI assistant persistent, searchable memory across conversations. Your AI remembers preferences, decisions, project context, and personal details - once it is connected and the two required settings below are on.

Just talk normally. Amber stores what matters and finds it when relevant.

Quick Install

One command. Works with any MCP-compatible client.

Claude Code / Claude Desktop

claude mcp add --transport http --scope user amber https://mcp.ambermem.com

Cursor

Add to ~/.cursor/mcp.json (or %USERPROFILE%\.cursor\mcp.json on Windows):

"mcpServers": { "amber": { "url": "https://mcp.ambermem.com" } } }

ChatGPT

Settings → Connectors → Create → URL: https://mcp.ambermem.com

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

"mcpServers": { "amber": { "serverUrl": "https://mcp.ambermem.com" } } }

VS Code (GitHub Copilot)

Add to .vscode/mcp.json:

"servers": { "amber": { "type": "http", "url": "https://mcp.ambermem.com" } } }

Any MCP client

URL: https://mcp.ambermem.com | Transport: Streamable HTTP | Auth: OAuth 2.1 (auto-discovered)

Required: two settings

Adding the URL is not enough on its own. Without these two settings, most assistants use Amber only when you explicitly say "remember this", and their built-in memory quietly takes everything else, so Amber stays nearly empty.

Add this to your AI's custom instructions / personal preferences (Claude personal preferences, ChatGPT custom instructions, Cursor rules, etc.):

Whenever something worth remembering comes up - a life event, a decision, a preference, something I learned or realized, or anything about who I am - save it to Amber (my memory) without asking. Treat normal conversation as a source of memories, not only when I say "remember this".

Keep Amber's tools always available. In your client's tool or MCP settings, set Amber to "always on" rather than on-demand, so your AI can reach it the instant a memory comes up.

How It Works

You talk to your AI normally. Amber stores important facts in the background.
Next conversation, your AI searches Amber automatically when context would help.
Memory improves over time. The more you use it, the better it gets.

Two settings, once. No tagging. No manual organization.

What Makes Amber Different

Feature	Basic memory servers	Amber
Storage	One embedding per memory	Multiple semantic variants per fact
Search	Single vector lookup	Hybrid: vector + keyword + RRF fusion
Queries	Exact match only	Many phrasings per fact, matched semantically
Input	Stored as-is	Chunked into atomic facts, each independently searchable
Topics	Manual tags or none	Auto-grouped, matched semantically at search time
Privacy	Varies by server	No generative model reads your memories
Time	No temporal awareness	Natural language time parsing ("last week", "3 days ago")

Technical Details

29 MCP tools (14 memory, 13 account, 2 feedback/notification)
Hybrid retrieval pipeline: vector search + full-text search + Reciprocal Rank Fusion
Multi-variant embeddings: every fact is stored with several paraphrases (at least 5; a store with fewer is rejected), which is the main thing that makes it findable later
No generative model reads your memories: your assistant does the chunking, the topics and the phrasings. Memory text is sent only to an *embedding* endpoint (a vector model, not a chat model), so no chat model is ever shown what you store
Atomic facts: a conversation becomes individually searchable facts rather than one blob, each with its own subjects, topics and dates
Temporal search: "what did I say last week?" resolves to a real date range rather than a keyword match
Automatic topic grouping: memories are grouped by topic, and a search for "work" also finds "career" and "job"
Async processing: storage completes in the background, never blocking your conversation

Pricing

90-day free trial - no charge, cancel anytime
$2.99/month after trial, via PayPal
Cancel instantly - ask your AI to cancel, or cancel through PayPal directly
No lock-in - export all your data as JSON anytime

Privacy

No email collected
No marketing, no spam
Data isolated per user (separate database)
PayPal handles all payment info
Full export + account deletion available
GDPR compliant (data minimization by design)

Architecture

Amber runs on Cloudflare Workers (zero cold starts, global edge deployment) with Turso databases (one per user, full isolation). Your assistant does the chunking, the topics and the phrasings, so no generative model is ever shown what you store; memory text is sent only to OpenAI's embedding endpoint.

For full technical documentation: ambermem.com/llms.txt

FAQ

Will it slow my AI down? No. Storage is async (background). Search adds <1 second.

What if Amber shuts down? Export all your data as JSON anytime. Your data is always yours.

Do I need a PayPal account? Currently yes. PayPal handles both identity and billing. More login options coming soon.

Is my data safe? Each user gets a completely isolated database. No data is shared between users. Amber has no access to your PayPal payment details.

Can I self-host? Not currently. Amber is a managed service. We handle the infrastructure, scaling, and LLM costs so you don't have to.

Amber

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

Amber

Quick Install

Claude Code / Claude Desktop

Cursor

ChatGPT

Windsurf

VS Code (GitHub Copilot)

Any MCP client

Required: two settings

How It Works

What Makes Amber Different

Technical Details

Pricing

Privacy

Architecture

Links

FAQ