CacheTank
CacheTank MCP server gives every AI tool your personal context so you never start from zero.
What is CacheTank?
CacheTank is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to cachetank mcp server gives every ai tool your personal context so you never start from zero.
CacheTank MCP server gives every AI tool your personal context so you never start from zero.
This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- CacheTank MCP server gives every AI tool your personal conte
Use Cases
Maintainer
Works with
Installation
NPM
npx -y cachetank-mcpManual Installation
npx -y cachetank-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about CacheTank
What is CacheTank?
CacheTank is a Model Context Protocol (MCP) server that cachetank mcp server gives every ai tool your personal context so you never start from zero. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install CacheTank?
Install via npm with the command: npx -y cachetank-mcp. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).
Which AI clients work with CacheTank?
CacheTank works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is CacheTank free to use?
Yes, CacheTank is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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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 CacheTank 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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