David Deutsch

Explore David Deutsch’s ideas through decades of interviews, with quoted answers and source transcripts.

Skills, CLI & MCP

Use the Deutsch corpus from an AI agent or the command line with the QRAG toolkit.

Skills

Download four ready-to-use agent skills for searching, asking questions, reading transcripts, and managing your account. Each folder includes a SKILL.md entry point and setup instructions.

Download agent skills ZIP

Extract the four folders into your agent’s skills directory, such as ~/.claude/skills for Claude Code or ~/.codex/skills for Codex. The skills use the CLI below. If it is already installed, you can also run:

fof-qrag skills install --target ~/.claude/skills
Skills ZIP checksum (SHA256)d115c1ba5b3a38a4e62da8c3ef00e752df72286031f6fbad71420a31ada6e617

CLI

Download the QRAG toolkit 0.1.0 with the command-line tool, Python library, MCP server, and bundled agent skills. Python 3.10 or later is required.

Download toolkit ZIP

With pipx installed, open a terminal in the folder where you saved the ZIP and run:

pipx install "./fof-qrag-0.1.0-501716d9a4b6.zip"

Then review the privacy notice and search the Deutsch corpus:

fof-qrag init
fof-qrag search "Why are good explanations hard to vary?"

Use fof-qrag ask for an AI answer, or fof-qrag --help for all commands. Public search and excerpts work without an account; full transcripts and restricted models require appropriate access.

Toolkit ZIP checksum (SHA256)501716d9a4b64f80cbb0ca922e32fbde9bbdc64e321626aeb1e0152b23a116d3

MCP

The MCP server is included in the toolkit download. After installing the CLI with pipx, add its MCP dependency:

pipx inject fof-qrag "mcp>=1.10,<2"

Run fof-qrag init in a terminal to review the privacy notice before connecting your assistant. For Claude Code:

claude mcp add fof-qrag -- fof-qrag-mcp

For another MCP client, configure fof-qrag-mcp as its server command with stdio transport. The server provides search, AI Q&A, transcript, and conversation tools, using Deutsch by default.