Which integrations are available for this server?

Supports installing the MCP server directly from Git repositories Allows fetching the MCP server code directly from GitHub repository for installation

How do I use AI Context Memory?

1. Click on "Deploy Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@AI Context Memory save that I prefer dark mode for all my coding projects" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Memory

AI记忆管理服务 - 让AI记住重要信息

🚀 一键使用

# MCP服务器（用于VSCode/Kiro）
uvx --from git+https://github.com/rdone4425/mcp.git memory mcp

# HTTP API服务器
uvx --from git+https://github.com/rdone4425/mcp.git memory http

# 交互式命令行
uvx --from git+https://github.com/rdone4425/mcp.git memory interactive

Related MCP server: MCP Memory

🔧 VSCode集成

# 自动配置
uvx --from git+https://github.com/rdone4425/mcp.git memory config

📚 功能

存储和检索AI对话记忆
支持标签分类
全文搜索
数据加密
HTTP API接口

💾 数据存储

默认存储在 ~/.ai-context-memory/memories.db

🛠️ 自定义

# 自定义数据库路径
uvx --from git+https://github.com/rdone4425/mcp.git memory mcp --db-path ./my_db.db

# 自定义端口
uvx --from git+https://github.com/rdone4425/mcp.git memory http --port 9000

就这么简单！

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Resources

GitHub Repository

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