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Mcp Server Memos Py

mcp-ryojerryyu-mcp-server-memos-py · by RyoJerryYu

A Python package enabling LLM models to interact with the Memos server via the MCP interface for searching, creating, retrieving, and managing memos.

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Install

$ agentstack add mcp-ryojerryyu-mcp-server-memos-py

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

[](https://mseep.ai/app/ryojerryyu-mcp-server-memos-py)

MCP Server Memos 📝

[](https://pypi.org/project/mcp-server-memos/) [](https://pypi.org/project/mcp-server-memos/) [](https://github.com/RyoJerryYu/mcp-server-memos-py/blob/master/LICENSE) [](https://smithery.ai/server/@RyoJerryYu/mcp-server-memos-py)

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](LICENSE) file for details.

🙏 Acknowledgments

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.