CacheTank MCP Server

Stop re-explaining yourself to AI.

CacheTank is your AI memory layer. Save your identity, projects, decisions, and knowledge once — every AI tool gets it automatically.

Every time you open ChatGPT, Claude, Cursor, Copilot, or Gemini you start from zero. You re-explain who you are, what you are working on, what you have already decided. CacheTank fixes this. Save context once, and every AI-powered tool that supports MCP loads it before your first message.

What CacheTank Does

CacheTank solves the number one frustration of working with AI: repeating yourself. Whether you use one AI tool or ten, CacheTank gives each one your full context without you typing a word.

• Your identity and role — who you are, what you do, how you think
• Your active projects — goals, status, decisions, open questions
• Your accumulated knowledge — things you have learned, patterns you have spotted
• Your outputs — work you have produced that future conversations should reference
• Works with every AI — Claude, ChatGPT, Gemini, Cursor, Copilot, Perplexity, and any MCP-compatible tool

How It Works

1. Install the CacheTank browser extension (Chrome) or connect via MCP
2. Save important context as you work — decisions, research, project details
3. Every AI conversation starts with your full context already loaded
4. The wisdom cycle promotes repeated concepts automatically

No copy-pasting. No system prompts. No re-explaining. Your context follows you everywhere.

Installation

Claude Desktop (Local)

Add to your Claude Desktop config (claude_desktop_config.json):

{
  "mcpServers": {
    "cachetank": {
      "command": "npx",
      "args": ["-y", "cachetank-mcp"],
      "env": {
        "CACHETANK_READ_TOKEN": "your-read-token",
        "CACHETANK_WRITE_TOKEN": "your-write-token"
      }
    }
  }
}

Claude Code (CLI)

claude mcp add cachetank -- npx -y cachetank-mcp

Then set your tokens:

export CACHETANK_READ_TOKEN=your-read-token
export CACHETANK_WRITE_TOKEN=your-write-token

Cursor

Add to Cursor settings (Settings > MCP Servers):

{
  "cachetank": {
    "command": "npx",
    "args": ["-y", "cachetank-mcp"],
    "env": {
      "CACHETANK_READ_TOKEN": "your-read-token",
      "CACHETANK_WRITE_TOKEN": "your-write-token"
    }
  }
}

Windsurf / Cline / Any MCP Client

Use the same npx command:

npx -y cachetank-mcp

Required environment variables:

• CACHETANK_READ_TOKEN — Your CacheTank read token (get it from the extension or cachetank.com)
• CACHETANK_WRITE_TOKEN — Optional. Enables saving back to your tank.

Remote Mode (Claude Connectors)

CacheTank also runs as a remote MCP server for browser-based AI tools:

https://cachetank-mcp-77926794635.us-central1.run.app/mcp

MCP Tools

fill_tank

Fetch your personal context for a specific project. Returns your identity, project knowledge, and recent outputs formatted as markdown.

fill_tank({ project: "My Startup" })

cache_it

Save a piece of knowledge, decision, or output to your tank. Saved items become part of your context automatically in future conversations.

cache_it({
  title: "Q1 pricing decision",
  markdown: "Decided on \$29/mo for pro tier based on competitor analysis...",
  project: "My Startup",
  layer: "PROJECTS"
})

MCP Resources

Why CacheTank Exists

Every knowledge worker using AI tools faces the same problem: context loss. You explain your role, your project, your constraints, your preferences — and then the conversation ends. Next conversation, you start over.

This is not just annoying. It is expensive. Studies show knowledge workers spend 23 minutes re-establishing context every time they switch tools or start a new conversation.

CacheTank is the fix. O

... View full README on GitHub