Documentation

Learn how to transform your notes into powerful MCP context for AI assistants

Quick Start

1

Upload Files

Drop your notes, documents, or photos into the upload area

2

Add Metadata

Click on files to add descriptions, tags, and categories

3

Copy Config

Use the generated MCP server configuration in your AI assistant

MCP Integration

Add your notes to Claude Desktop, Cursor, or any MCP-compatible AI assistant:

Claude Desktop
Cursor IDE
VS Code
Any MCP Client
claude_desktop_config.json
{
  "mcpServers": {
    "ContxtIng": {
      "command": "npx",
      "args": [
        "-y",
        "supergateway",
        "--streamableHttp",
        "https://v0-contxting-site.vercel.app/api/mcp/your-user-id/http",
        "--header",
        "Authorization: Bearer YOUR_API_KEY_HERE"
      ]
    }
  }
}
i

Pro Tip

Your user ID and API key are automatically generated after uploading files. Replace "YOUR_API_KEY_HERE" with your actual API key from the dashboard.

Configuration Options

File Types

  • Text files (.txt, .md)
  • Documents (.pdf, .doc, .docx)
  • Images (with OCR)

Metadata Fields

  • Title and description
  • Tags and categories
  • Custom properties

API Reference

For developers who want to integrate directly with our MCP transport:

GET /api/mcp/your-user-id/sseSSE

Server-sent events endpoint for real-time MCP communication

POST /api/mcp/your-user-id/httpHTTP

HTTP transport for MCP protocol (recommended)

POST /api/notes/uploadMultipart

File upload endpoint with OCR and metadata extraction