mcp-memos

MCP-Memos is designed to help developers efficiently save and retrieve information during their workflow without the need to switch applications. It leverages the power of large language models (LLMs) to provide advanced search capabilities, allowing users to find content based on semantic understanding rather than just keywords. This tool is particularly useful for developers who need to quickly access information using natural language queries. MCP-Memos stands out by offering context-aware and conceptual matching, making it a highly effective information retrieval tool.

Features

• 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.

MCP Tools

• {'store_memo': 'Save important text information and add tags for easy retrieval later.'}
• {'retrieve_memo': 'Retrieve previously saved text content based on keywords.'}

Usage with Different Platforms

Installation

Download the mcp-memos binary file according to your computer's architecture from [releases](https://github.com/huhu415/mcp-memos/releases)

Configuration

Add MCP-Memos to the macPilotCli configuration file

Configuration Script

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

Record information

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

Record Script

markdown
record this memo. its {description}

{content}

Retrieve information

When you need to find previously saved information:

Retrieve Script

markdown
Find this memo about {description}