Add your description here
Project description
MCP Server Memos 📝
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"
]
}
}
}
Other ways to use this package
📦 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)
🔧 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/-")- 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- 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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file iflow_mcp_mcp_server_memos-0.1.15.tar.gz.
File metadata
- Download URL: iflow_mcp_mcp_server_memos-0.1.15.tar.gz
- Upload date:
- Size: 56.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.9.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2b2784e59c404635755be33962cce7fb5ed4eea08fb4f7f614c83dde35fbf470
|
|
| MD5 |
31679cf6e07dabcfdd144b742ef3deda
|
|
| BLAKE2b-256 |
4c85e3f4ddce805575758c9211cf2e0f747e31a48126edb12d579bda63dc171e
|
File details
Details for the file iflow_mcp_mcp_server_memos-0.1.15-py3-none-any.whl.
File metadata
- Download URL: iflow_mcp_mcp_server_memos-0.1.15-py3-none-any.whl
- Upload date:
- Size: 31.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.9.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8db8a75486005fa90b1fbbb9d163ce026baeea339e4ee925337f101441f4cbda
|
|
| MD5 |
4009709b8a55e85521d6abda5ec02d17
|
|
| BLAKE2b-256 |
0b82bda94b75c9a89b0077c06258d9e31ea258a1137deebdd9876ec9bb6bd960
|