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Mcp Memos

@huhu415on 10 months ago
1 MIT
FreeCommunity
AI Systems
#llm#mcp-server#memo#note-taking#productivity-tool
A memo tool based on MCP protocol that helps developers quickly save and retrieve text information without interrupting their workflow.

Overview

What is Mcp Memos

MCP-Memos is a memo tool based on the MCP protocol that enables developers to quickly save and retrieve text information without disrupting their workflow.

Use cases

Use cases for MCP-Memos include saving code snippets, recording important notes during development, retrieving documentation references, and managing project-related information seamlessly.

How to use

To use MCP-Memos, download the binary file for your system architecture from the releases page. Configure it in the macPilotCli configuration file and use the store_memo and retrieve_memo commands to save and retrieve information.

Key features

Key features of MCP-Memos include advanced LLM-powered search capabilities, semantic understanding for meaning-based retrieval, context-aware searching, natural language queries, and conceptual matching for effective information retrieval.

Where to use

MCP-Memos is primarily used in software development environments where quick access to information is crucial. It is suitable for developers, researchers, and anyone needing efficient text management.

Content

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}

[!NOTE]
Descriptions can vary as MCP-Memo’s LLM understands concepts, not just keywords, matching similar content regardless of wording.

LLM_BASE_URL optional, default is https://api.anthropic.com

ANTHROPIC_MODEL optional, default is claude-3-7-sonnet-20250219

Will accelerate the implementation of the sampling feature, which will eliminate the need to configure all environment parameters

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