MCP Server Memos 📝
About
A Python package enabling LLM models to interact with the Memos server via the MCP interface for searching, creating, retrieving, and managing memos.
Details
- License
- MIT
Explore
- 🔍 Search memos with keywords
- ✨ Create new memos with customizable visibility
- 📖 Retrieve memo content by ID
- 🏷️ List and manage memo tags
- 🔐 Secure authentication using access tokens
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
MCP Server Memos 📝Command (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
You can include this package in your config file as bellow, just as you use other Python MCP plugins.
{
...,
"mcpServers": {
"fetch": { // other mcp servers
"command": "uvx",
"args": ["mcp-server-fetch"]
},
"memos": { // add this to your config
"command": "uvx",
"args": [
"--prerelease=allow",
"mcp-server-memos",
"--host",
"localhost",
"--port",
"5230",
"--token",
"your-access-token-here"
]
}
}
}
<details>
<summary>Other ways to use this package</summary>
To install mcp-server-memos-py for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @RyoJerryYu/mcp-server-memos-py --client claude
pip install mcp-server-memos
| Parameter | Description | Default |
|-----------|-------------|---------|
| host | Memos server hostname | localhost |
| port | Memos server port | 8080 |
| token | Access token for authentication | "" |
list_memo_tags
List all existing memo tags
search_memo
Search for memos using keywords
create_memo
Create a new memo
get_memo
Get a specific memo by ID
This MCP server provides the following tools for interacting with Memos:
| Tool Name | Description | Parameters |
|-----------|-------------|------------|
| list_memo_tags | List all existing memo tags | - parent: The parent who owns the tags (format: memos/{id}, default: "memos/-")<br>- visibility: Tag visibility (PUBLIC/PROTECTED/PRIVATE, default: PRIVATE) |
| search_memo | Search for memos using keywords | - key_word: The keywords to search for in memo content |
| create_memo | Create a new memo | - content: The content of the memo<br>- visibility: Memo visibility (PUBLIC/PROTECTED/PRIVATE, default: PRIVATE) |
| get_memo | Get a specific memo by ID | - name: The name/ID of the memo (format: memos/{id}) |
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"mcp server memos \ud83d\udcdd": {
"mcp-server-memos-py": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@RyoJerryYu/mcp-server-memos-py",
"--client",
"claude"
]
}
}
}
}McpServers
{
"mcp-server-memos-py": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@RyoJerryYu/mcp-server-memos-py",
"--client",
"claude"
]
}
}
A Python package that provides LLM models with the ability to interact with Memos server through the MCP (Model Context Protocol) interface.
🚀 Features
- 🔍 Search memos with keywords
- ✨ Create new memos with customizable visibility
- 📖 Retrieve memo content by ID
- 🏷️ List and manage memo tags
- 🔐 Secure authentication using access tokens
🛠️ Usage
You can include this package in your config file as bellow, just as you use other Python MCP plugins.
{
...,
"mcpServers": {
"fetch": { // other mcp servers
"command": "uvx",
"args": ["mcp-server-fetch"]
},
"memos": { // add this to your config
"command": "uvx",
"args": [
"--prerelease=allow",
"mcp-server-memos",
"--host",
"localhost",
"--port",
"5230",
"--token",
"your-access-token-here"
]
}
}
}
<details>
<summary>Other ways to use this package</summary>
📦 Installation
Installing via Smithery
To install mcp-server-memos-py for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @RyoJerryYu/mcp-server-memos-py --client claude
Installing Manually
pip install mcp-server-memos
Command Line
mcp-server-memos --host localhost --port 8080 --token YOUR_ACCESS_TOKEN
As a Library
from mcp_server_memos import Config, serve_stdio
config = Config(
host="localhost",
port=8080,
token="YOUR_ACCESS_TOKEN"
)
await serve_stdio(config=config)
</details>
🔧 Configuration
| Parameter | Description | Default |
|-----------|-------------|---------|
| host | Memos server hostname | localhost |
| port | Memos server port | 8080 |
| token | Access token for authentication | "" |
🤝 Available Tools
This MCP server provides the following tools for interacting with Memos:
| Tool Name | Description | Parameters |
|-----------|-------------|------------|
| list_memo_tags | List all existing memo tags | - parent: The parent who owns the tags (format: memos/{id}, default: "memos/-")<br>- visibility: Tag visibility (PUBLIC/PROTECTED/PRIVATE, default: PRIVATE) |
| search_memo | Search for memos using keywords | - key_word: The keywords to search for in memo content |
| create_memo | Create a new memo | - content: The content of the memo<br>- visibility: Memo visibility (PUBLIC/PROTECTED/PRIVATE, default: PRIVATE) |
| get_memo | Get a specific memo by ID | - name: The name/ID of the memo (format: memos/{id}) |
🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
🙏 Acknowledgments
- Memos - A lightweight, self-hosted memo hub
- MCP (Model Context Protocol) - Protocol for LLM model applications
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