I craft unique cereal names, stories, and ridiculously cute Cereal Baby images.

MCP-Memos
Ein Memo -Tool, das auf MCP -Protokoll basiert, mit dem Entwicklern Textinformationen schnell speichern und abrufen können, ohne ihren Workflow zu unterbrechen.
3 years
Works with Finder
1
Github Watches
2
Github Forks
1
Github Stars
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
相关推荐
Confidential guide on numerology and astrology, based of GG33 Public information
Converts Figma frames into front-end code for various mobile frameworks.
Advanced software engineer GPT that excels through nailing the basics.
Entdecken Sie die umfassendste und aktuellste Sammlung von MCP-Servern auf dem Markt. Dieses Repository dient als zentraler Hub und bietet einen umfangreichen Katalog von Open-Source- und Proprietary MCP-Servern mit Funktionen, Dokumentationslinks und Mitwirkenden.
Ein einheitliches API-Gateway zur Integration mehrerer Ethercan-ähnlicher Blockchain-Explorer-APIs mit Modellkontextprotokoll (MCP) für AI-Assistenten.
Mirror ofhttps: //github.com/suhail-ak-s/mcp-typense-server
本项目是一个钉钉 MCP (Message Connector Protocol )服务 , 提供了与钉钉企业应用交互的 api 接口。项目基于 Go 语言开发 , 支持员工信息查询和消息发送等功能。
Reviews

user_V5rurO7A
As a devoted user of mcp-memos, I must say this tool has revolutionized my note-taking process. Created by the talented huhu415, it offers a seamless and efficient experience for organizing and accessing my memos. Its intuitive interface and thoughtful design make it a pleasure to use. I highly recommend checking out this fantastic product at https://github.com/huhu415/mcp-memos.