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/sseSSEServer-sent events endpoint for real-time MCP communication
POST /api/mcp/your-user-id/httpHTTPHTTP transport for MCP protocol (recommended)
POST /api/notes/uploadMultipartFile upload endpoint with OCR and metadata extraction