MCP-Memos

MCP-Memos is an memo tool based on MCP that allows users to record and retrieve text information.

It's perfect for developers to quickly save and find information in their workflow(may be cursor, etc) without switching to other applications.

🔍 Advanced LLM-Powered Search

MCP-Memos uses large language models for retrieval, providing the most powerful fuzzy search capability available:

• Semantic understanding: Find content based on meaning, not just keywords
• Context-aware: Understands what you're looking for even with incomplete descriptions
• Natural language queries: Search as you would ask a human, no special syntax needed
• Conceptual matching: Retrieves information by understanding concepts, not just text matching

Unlike traditional vector or text-based fuzzy search, MCP-Memos leverages the full power of LLMs to truly understand your retrieval intent, making it the most effective information retrieval approach available today.

Tool Documentation

Tool Name	Description	Input Parameters
store_memo	Save important text information and add tags for easy retrieval later	tag:keyword or tag or description content: that you want to save
retrieve_memo	Retrieve previously saved text content based on keywords	text keyword or tag or description

How to Use

Installation

Download the mcp-memos binary file according to your computer's architecture from releases

Configuration

Add MCP-Memos to the macPilotCli configuration file

{
    "mcpServers": {
      "MCP-Memos":{
        "command": "path/to/mcp-memos",
        "env": {
          "LLM_TOKEN": "xxxxxx",
          "LLM_BASE_URL": "xxxxxxxx/v1",
          "ANTHROPIC_MODEL": "xxxxx"
        }
      }
    }
}

Basic Usage

Record information

When you need to save information during development without switching to another app:

record this memo. its {description}

{content}

Retrieve information

When you need to find previously saved information:

Find this memo about {description}