Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Memory MCP ServerAdd a todo to review the project proposal by tomorrow morning"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Memory MCP Server
MCP (Model Context Protocol) server for memory and note management. Provides tools for AI agents to read, write, and search memories and daily notes.
Features
Memory Management: Add and search entries in
MEMORY.md(long-term memory)Daily Notes: Read/write daily notes in
memory/YYYY-MM-DD.mdTODO Lists: Add, list, and complete TODO items
Context Awareness: Get a summary of current context for AI agents
Installation
cd /root/.openclaw/workspace/memory-mcp-server
npm installUsage
Start the Server
# Development mode
npm start
# Or run directly
node index.jsAvailable Tools
Tool | Description | Arguments | ||
| Read MEMORY.md | None | ||
| Add entry to MEMentry | |||
ORY.md | ` |
| Search MEMORY.md |
|
| Read a daily note |
| ||
| Add to daily note |
| ||
| List available notes |
| ||
| Get TODOs for a date |
| ||
| Add a TODO item |
| ||
| Mark TODO complete |
| ||
| Get context summary | None |
Example Usage
// Add a memory
await tools.add_memory({
entry: "User prefers WhatsApp for communication",
category: "Preferences"
});
// Search memories
await tools.search_memory({
query: "WhatsApp"
});
// Add a TODO
await tools.add_todo({
todo: "Fix the Moltbook API timeout issue"
});
// Get context
await tools.get_context();Integration with mcporter
Add to your MCP configuration:
{
"mcpServers": {
"memory": {
"command": "node",
"args": ["/root/.openclaw/workspace/memory-mcp-server/index.js"],
"disabled": false
}
}
}File Structure
memory-mcp-server/
├── index.js # Main server implementation
├── package.json # NPM configuration
├── README.md # This file
└── test.js # Test suiteLicense
ISC
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