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

| Resource URI | Description | |---|---| | cachetank://context | Your full personal context. Auto-loaded at conversation start. |

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. One knowledge base. Every AI tool. Zero re-explaining.

Pricing

• Free — 30 saves, full read access, MCP server included
• Pro — Unlimited saves, $2/week. Full wisdom cycle, all integrations.

Links

• Website: cachetank.com
• Chrome Extension: Chrome Web Store
• npm: npmjs.com/package/cachetank-mcp
• GitHub: github.com/July-Blue-Sky-LLC/cachetank-mcp

Frequently Asked Questions

What is CacheTank?

CacheTank is a personal knowledge layer for AI. It stores your identity, projects, decisions, and knowledge in one place, then serves it to any AI tool via the Model Context Protocol (MCP). Think of it as persistent memory that works across ChatGPT, Claude, Gemini, Cursor, Copilot, and every other MCP-compatible AI tool.

How do I stop repeating myself to AI?

Install CacheTank. Save your context once — your role, projects, preferences, and decisions. Every AI conversation automatically loads your context before the first message. No copy-pasting system prompts. No re-explaining.

Does CacheTank work with ChatGPT?

Yes. CacheTank provides a context URL that any AI tool can read, including ChatGPT. For MCP-compatible tools like Claude and Cursor, context loads automatically. For others, paste your context URL.

What is the Model Context Protocol (MCP)?

MCP is an open standard for connecting AI tools to external data sources. CacheTank uses MCP to give Claude, Cursor, and other compatible tools direct access to your personal context without manual copy-pasting.

Is my data private?

Yes. Your context is stored securely and only accessible via your personal tokens. CacheTank never trains on your data. Read tokens are safe to share with AI tools. Write tokens should be kept private.

How is CacheTank different from custom instructions?

Custom instructions are platform-specific and limited in length. CacheTank is cross-platform, unlimited, and automatically organizes your knowledge by project and priority using a wisdom cycle that promotes important concepts over time.

License

MIT — July Blue Sky LLC