RAG Context
A lightweight server that provides persistent memory and context management for AI assistants using local vector storage and database, enabling efficient storage and retrieval of contextual information through semantic search and indexed retrieval.
What is RAG Context?
RAG Context is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to lightweight server that provides persistent memory and context management for ai assistants using local vector storage and database, enabling efficient storage and retrieval of contextual information ...
A lightweight server that provides persistent memory and context management for AI assistants using local vector storage and database, enabling efficient storage and retrieval of contextual information through semantic search and indexed retrieval.
This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A lightweight server that provides persistent memory and con
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx rag-context-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about RAG Context
What is RAG Context?
RAG Context is a Model Context Protocol (MCP) server that lightweight server that provides persistent memory and context management for ai assistants using local vector storage and database, enabling efficient storage and retrieval of contextual information through semantic search and indexed retrieval. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install RAG Context?
Follow the installation instructions on the RAG Context GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with RAG Context?
RAG Context works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is RAG Context free to use?
Yes, RAG Context is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
RAG Context Alternatives — Similar Knowledge & Memory Servers
Looking for alternatives to RAG Context? Here are other popular knowledge & memory servers you can use with Claude, Cursor, and VS Code.
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Kratos
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Context Mode
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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 RAG Context 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
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