textview-mcp

textview-mcp is an MCP server that connects AI assistants (Claude, Cursor, Windsurf, etc.) to TextView — a cloud-based note-taking platform designed for AI agents.

Think of it as persistent memory for your AI: meeting notes, research findings, code snippets, daily journals — anything your AI generates can be saved, searched, and retrieved across sessions.

Why?

AI conversations are ephemeral. You have a great brainstorming session with Claude, close the window, and it's gone. textview-mcp solves this:

• AI writes, you review — Let your AI agent save documents directly. Review them later on textview.cn from any device.

• Cross-session memory — Claude in one conversation can read what Claude in another conversation wrote.

• Cross-tool sync — Save from Cursor, read from Claude Desktop, review on your phone.

• Rich formatting — Documents are stored as rich text (HTML), not plain text.

Related MCP server: CyberMem

Quick Start

1. Get your API token

Sign up at textview.cn, click your avatar → API Token → Generate.

2. Configure your AI tool

Edit claude_desktop_config.json:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

• Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "textview": {
      "command": "npx",
      "args": ["-y", "textview-mcp"],
      "env": {
        "TEXTVIEW_TOKEN": "tv_your_token_here"
      }
    }
  }
}

Restart Claude Desktop after saving.

Create or edit .cursor/mcp.json in your project root:

{
  "mcpServers": {
    "textview": {
      "command": "npx",
      "args": ["-y", "textview-mcp"],
      "env": {
        "TEXTVIEW_TOKEN": "tv_your_token_here"
      }
    }
  }
}

Go to Settings → MCP and add:

{
  "mcpServers": {
    "textview": {
      "command": "npx",
      "args": ["-y", "textview-mcp"],
      "env": {
        "TEXTVIEW_TOKEN": "tv_your_token_here"
      }
    }
  }
}

claude mcp add textview -- npx -y textview-mcp

Then set the environment variable TEXTVIEW_TOKEN=tv_your_token_here.

3. Start using it

Just ask your AI naturally:

"Save this conversation as a document called 'Meeting Notes March 11'"

"Show me my recent documents"

"Find my notes about the API redesign"

Tools

Use Cases

Daily Journal

"Save a journal entry for today: summarize what we discussed and the decisions we made."

Research Assistant

"Save this research summary about MCP protocols to my notes."

Code Documentation

"Document the architecture of this project and save it to TextView."

Meeting Notes

"We just finished our sprint planning. Save the action items as a document."

Cross-Session Context

"Check my notes — did we decide on PostgreSQL or MySQL last week?"

Requirements

• Node.js 18+

• A free TextView account

Environment Variables

How It Works

Your AI Tool (Claude, Cursor, etc.)
    ↕ MCP Protocol (stdio)
textview-mcp (this package)
    ↕ HTTPS
TextView Cloud API
    ↕
Your Documents (accessible from any device)

Development

git clone https://github.com/mrliuzhiyu/textview-mcp.git
cd textview-mcp
npm install
npm run dev

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT