RAGandLLM
A simple MCP server that implements a note storage system with RAG capabilities, allowing users to store notes and generate summaries of stored content.
What is RAGandLLM?
RAGandLLM is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to simple mcp server that implements a note storage system with rag capabilities, allowing users to store notes and generate summaries of stored content.
A simple MCP server that implements a note storage system with RAG capabilities, allowing users to store notes and generate summaries of stored content.
This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A simple MCP server that implements a note storage system wi
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx ragandllm-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about RAGandLLM
What is RAGandLLM?
RAGandLLM is a Model Context Protocol (MCP) server that simple mcp server that implements a note storage system with rag capabilities, allowing users to store notes and generate summaries of stored content. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install RAGandLLM?
Follow the installation instructions on the RAGandLLM GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with RAGandLLM?
RAGandLLM works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is RAGandLLM free to use?
Yes, RAGandLLM is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
RAGandLLM Alternatives — Similar Knowledge & Memory Servers
Looking for alternatives to RAGandLLM? Here are other popular knowledge & memory servers you can use with Claude, Cursor, and VS Code.
MemPalace
★ 52.6kA local AI memory system that stores all conversations verbatim and organizes them into navigable structures. It provides 19 MCP tools for AI assistants to search and retrieve past decisions, debugging sessions, and architecture debates automatically
Kratos
★ 25.7k🏛️ Memory System for AI Coding Tools - Never explain your codebase again. MCP server with perfect project isolation, 95.8% context accuracy, and the Four Pillars Framework.
Context Mode
★ 15.4kAn MCP server that preserves LLM context by intercepting large data outputs and returning only concise summaries or relevant sections. It enables efficient sandboxed code execution, file processing, and documentation indexing across multiple programm
Memu
★ 13.7kMemory for 24/7 proactive agents like OpenClaw.
MemOS
★ 9.3kMemOS (Memory Operating System) is a memory management operating system designed for AI applications. Its goal is: to enable your AI system to have long-term memory like a human, not only remembering what users have said but also actively invoking, u
Everos
★ 5.4kBuild, evaluate, and integrate long-term memory for self-evolving agents.
Browse More Knowledge & Memory MCP Servers
Explore all knowledge & memory servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up RAGandLLM in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use RAGandLLM?
Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.