Server data from the Official MCP Registry
Long-term memory for AI assistants. Hybrid retrieval, query expansion, auto-topics.
About
Long-term memory for AI assistants. Hybrid retrieval, query expansion, auto-topics.
Remote endpoints: streamable-http: https://mcp.ambermem.com
Security Report
Valid MCP server (2 strong, 4 medium validity signals). 3 known CVEs in dependencies (0 critical, 3 high severity) Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 4 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"com-ambermem-amber": {
"url": "https://mcp.ambermem.com"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
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 - without you doing anything special.
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)
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.
No configuration. 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
- 25 MCP tools (14 memory, 9 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, and a store is rejected below that — 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
- 60-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). LLM processing uses Gemini Flash for chunking/expansion and OpenAI for embeddings.
For full technical documentation: ambermem.com/llms.txt
Links
- Website: ambermem.com
- MCP endpoint:
https://mcp.ambermem.com - Privacy policy: ambermem.com/privacy
- Terms of service: ambermem.com/terms
- Technical docs (for AI): ambermem.com/llms.txt
- Report a problem: ambermem.com/report — no account needed, and it works even when your client cannot connect. In-session, an assistant can also call the
amber_send_feedback_to_developertool directly.
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.
Reviews
No reviews yet
Be the first to review this server!
More Developer Tools MCP Servers
Fetch
Freeby Modelcontextprotocol · Developer Tools
Web content fetching and conversion for efficient LLM usage
Git
Freeby Modelcontextprotocol · Developer Tools
Read, search, and manipulate Git repositories programmatically
Toleno
Freeby Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
mcp-creator-python
Freeby mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.
MCP Marketplace
Freeby mcp-marketplace · Developer Tools
Search and install MCP servers from inside your AI client.
MarkItDown
Freeby Microsoft · Content & Media
Convert files (PDF, Word, Excel, images, audio) to Markdown for LLM consumption
