Add npm README and bump version to 1.0.1 for mcp-server package

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

Author: Skiipy11

mcp-server/README.md

@@ -0,0 +1,105 @@
+# @zensystemai/multi-agent-memory-mcp
+
+MCP server for [Multi-Agent Memory](https://github.com/ZenSystemAI/multi-agent-memory) — gives Claude Code, Cursor, and other MCP-compatible AI tools access to a shared memory system that works across agents and machines.
+
+## Prerequisites
+
+This package connects to the Multi-Agent Memory API. You need to run that first:
+
+```bash
+git clone https://github.com/ZenSystemAI/multi-agent-memory.git
+cd multi-agent-memory
+cp .env.example .env  # Set BRAIN_API_KEY, QDRANT_URL, QDRANT_API_KEY
+docker compose up -d
+```
+
+## Installation
+
+```bash
+npm install -g @zensystemai/multi-agent-memory-mcp
+```
+
+## Configuration
+
+### Claude Code (`~/.claude.json`)
+
+```json
+{
+  "mcpServers": {
+    "shared-brain": {
+      "command": "multi-agent-memory-mcp",
+      "env": {
+        "BRAIN_API_URL": "http://localhost:8084",
+        "BRAIN_API_KEY": "your-api-key"
+      }
+    }
+  }
+}
+```
+
+### Cursor / Windsurf (`mcp.json`)
+
+```json
+{
+  "mcpServers": {
+    "shared-brain": {
+      "command": "multi-agent-memory-mcp",
+      "env": {
+        "BRAIN_API_URL": "http://your-server:8084",
+        "BRAIN_API_KEY": "your-api-key"
+      }
+    }
+  }
+}
+```
+
+### Environment Variables
+
+| Variable | Required | Description |
+|----------|:--------:|-------------|
+| `BRAIN_API_KEY` | Yes | API key set in your `.env` |
+| `BRAIN_API_URL` | No | API URL. Default: `http://localhost:8084` |
+
+## Tools
+
+| Tool | Description |
+|------|-------------|
+| `brain_store` | Store a memory (event, fact, decision, or status) |
+| `brain_search` | Semantic search across all memories from all agents |
+| `brain_briefing` | Get a session briefing — what happened since a given time |
+| `brain_query` | Structured query by type, key, subject, or time range |
+| `brain_stats` | Memory health stats (totals, active, decayed, by type) |
+| `brain_consolidate` | Trigger or check LLM consolidation |
+
+## Usage Example
+
+Once configured, your AI tool can call these tools directly. For example in Claude Code:
+
+```
+brain_briefing since="2026-03-11T00:00:00Z" agent="claude-code"
+```
+
+Returns categorized updates from all other agents since yesterday — events, facts, decisions, and status changes.
+
+```
+brain_store type="fact" content="Client prefers dark mode UI" source_agent="claude-code" client_id="acme-corp" key="acme-ui-preference"
+```
+
+Stores a fact that any other agent (n8n, OpenClaw, Cursor) can retrieve later.
+
+## Memory Types
+
+| Type | Behavior | When to Use |
+|------|----------|-------------|
+| `event` | Append-only, immutable | "Deployment completed", "Workflow failed" |
+| `fact` | Upsert by `key` | Persistent knowledge that gets updated |
+| `status` | Update-in-place by `subject` | Current state of a system or workflow |
+| `decision` | Append-only | Choices made and why |
+
+## Full Documentation
+
+See the [main repository](https://github.com/ZenSystemAI/multi-agent-memory) for the complete API reference, adapter docs (Bash CLI, n8n, OpenClaw), deployment guide, and architecture overview.
+
+## License
+
+MIT

mcp-server/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@zensystemai/multi-agent-memory-mcp",
-  "version": "1.0.0",
+  "version": "1.0.1",
   "type": "module",
   "description": "MCP server for Multi-Agent Memory - cross-agent persistent memory system",
   "main": "src/index.js",