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Sombra — Reader Mode for AI

by @dazld

Persistent reader mode for AI. Save web pages, organise into collections, distil to dense context, and serve it all through MCP.

Versionv1.0.1
⚙️ Configuration

1. Get a Personal Access Token

Sign up at sombra.so and create a token in Settings > Access Tokens.

2. Configure OpenClaw

Add Sombra to your openclaw.json:

{
  "mcpServers": {
    "sombra": {
      "command": "npx",
      "args": ["-y", "sombra-mcp", "--token", "sombra_pat_YOUR_TOKEN_HERE"]
    }
  }
}

Replace sombra_pat_YOUR_TOKEN_HERE with your actual token.

> Check sombra.so/mcp for the latest connection instructions.

Sombra supports OAuth 2.1 for interactive clients and Bearer tokens for headless agents.

Also works with

Sombra is a standard MCP server (Streamable HTTP transport) that works with any MCP client:

  • Claude Desktop / Claude.ai — add as a connector in Settings > Connectors
  • Claude Codeclaude mcp add --transport http sombra https://sombra.so/mcp
  • ChatGPT — add as an app in Settings > Apps (Developer mode)
  • Cursor, VS Code, Windsurf — add as an MCP server in your MCP config
  • Full setup instructions: sombra.so/mcp

    📋 Tips & Best Practices

  • Scope collections tightly. "EU e-invoicing integration" beats "Work stuff". One collection per project or task.
  • Distil aggressively. Forty pages of raw docs in context is noise. Five hundred tokens of distilled context with code examples verbatim is signal.
  • Let context compound. Have your agent save useful discoveries back to the collection. Each session makes the next one better.
  • Use context before code. Always read the collection context before generating code against external APIs or libraries.
  • View on ClawHub
    TERMINAL
    clawhub install sombra-ai-reader-mode

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