mcpField
M
memos-mcp-server

memos-mcp-server

Local
github.com/LeslieLeungProductivity23Updated 84w ago

About memos-mcp-server

memos-mcp-server is an MCP server for Memos, aimed at users who want to search and create memos from an AI client. It exposes keyword search and memo creation as tools.

Key features

  1. 01Keyword search over memos
  2. 02Create new memos
  3. 03Runs via uvx
  4. 04Installable to Claude Desktop through Smithery

Use cases

  1. 01Searching existing memos from Claude Desktop
  2. 02Letting an AI assistant record new memos

MCP support

This project is an MCP server that exposes the search_memos and create_memo tools to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"memos": {
"command": "npx",
"args": [
"-y",
"@smithery/cli"
]
}
}
}
Run commandnpx -y @smithery/cli

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@smithery/cli

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

memos-mcp-server

smithery badge

A MCP(Model Context Protocol) server for Memos.

Tools

  • search_memos: Search memos with keyword.
  • create_memo: Create a new memo.

Usage

Installing via Smithery

To install mcp-server-memos for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @LeslieLeung/mcp-server-memos --client claude
{
    "mcpServers": [
        "memos": {
            "command": "uvx",
            "args": [
                "memos-mcp-server"
            ],
            "env": {
                "MEMOS_URL": "https://memos.example.com",
                "MEMOS_API_KEY": "your_api_key",
                "DEFAULT_TAG": "#mcp"
            }
        }
    ]
}

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.