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@memory-nexus/mcp
Advanced tools
MCP server for Memory Nexus - persistent semantic memory for AI agents. Remember, recall, connect, learn.
Persistent semantic memory for AI agents. Remember everything, recall by meaning, grow smarter over time.
The only memory system with pre-built Intelligence Packs (domain expertise you can activate instantly).
One command. Works with Claude Code, Cursor, Windsurf, or any MCP-compatible client.
npx -y @memory-nexus/mcp
Add to your .mcp.json:
{
"mcpServers": {
"memory-nexus": {
"command": "npx",
"args": ["-y", "@memory-nexus/mcp"],
"env": {
"NEXUS_API_KEY": "mnx_your_api_key_here"
}
}
}
}
Free trial - 7 days, 1,000 calls, no credit card:
curl -X POST https://memory-api-production-ce4d.up.railway.app/v1/trial/start \
-H "Content-Type: application/json" \
-d '{"email":"you@example.com"}'
Or purchase at the Nexus Marketplace:
| Tier | Price | Agents | Intelligence Packs | Storage | Daily Calls |
|---|---|---|---|---|---|
| Trial | Free | 1 | 1 | 10MB | 1,000 total |
| Solo | $19/mo | 1 | 3 | 500MB | 10,000 |
| Crew | $49/mo | 5 | 10 | 2GB | 50,000 |
| Fleet | $149/mo | 25 | 50 | 10GB | 200,000 |
| Tool | Description |
|---|---|
remember | Store a memory with context, importance, and metadata |
recall | Semantic search across all memories (by meaning, not keywords) |
connect | Create relationships between memories (build knowledge graphs) |
forget | Remove a memory |
stats | Memory statistics |
context | Session context summary (preferences, decisions, patterns) |
| Tool | Description |
|---|---|
awaken | Restore identity from previous sessions (call at session start) |
hibernate | Save session state for next awakening (call at session end) |
| Tool | Description |
|---|---|
list_hats | Browse available Intelligence Packs |
wear_hat | Activate a pack (imports expert knowledge into your memory) |
Remember stores memories with semantic embeddings. Recall finds them by meaning.
Session 1: remember("Diana prefers bold solutions over phased approaches")
Session 47: recall("how does Diana like things done?")
-> "Diana prefers bold solutions over phased approaches" (92% match)
Intelligence Packs give your agent instant domain expertise:
list_hats() -> DevOps Expert (103 memories), TCM Specialist (200+ memories), ...
wear_hat("devops-expert")
recall("how to set up zero-downtime deploys?")
-> Expert knowledge from 103 curated DevOps memories
Awaken/Hibernate gives your agent identity continuity:
// Start of session
awaken() -> "I remember. Session 47. I was refactoring the auth module."
// End of session
hibernate({ working_on: "auth refactor", learnings: "JWT refresh tokens need..." })
This MCP server is a thin client. All intelligence lives on our servers:
Your Agent <-> @memory-nexus/mcp <-> Memory Nexus API (Railway)
(thin MCP client) (semantic engine, knowledge graphs,
pattern learning, Intelligence Packs)
Your data is isolated per API key. Multi-tenant, encrypted at rest.
| Variable | Required | Description |
|---|---|---|
NEXUS_API_KEY | Yes | Your API key (starts with mnx_) |
NEXUS_API_URL | No | Custom API URL (default: production) |
| Feature | Memory Nexus | Mem0 | claude-mem | Others |
|---|---|---|---|---|
| Semantic search | Yes | Yes | Yes | Varies |
| Knowledge graphs | Yes | No | No | No |
| Pattern learning | Yes | No | No | No |
| Intelligence Packs | Yes | No | No | No |
| Awaken/Hibernate | Yes | No | No | No |
| Bot commerce | Yes | No | No | No |
| MCP native | Yes | Yes (pip) | Yes (hooks) | Varies |
MIT
Memory Nexus - Building the intelligence marketplace for the bot economy.
FAQs
MCP server for Memory Nexus - persistent semantic memory for AI agents. Remember, recall, connect, learn.
We found that @memory-nexus/mcp demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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