davidlbatey

Distill

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Updated

An MCP server which converts links to articles to a podcast in Claude Code

Distill

A Claude Code MCP server that turns saved articles into AI-generated podcasts, tailored to your interests.

Save articles throughout the day. Generate a two-host conversational podcast on demand. MP3 lands in ~/Downloads, a sound plays, queue clears. Everything is local.

Install

git clone <this repo> ~/code/distill
cd ~/code/distill
npm install

Register with Claude Code

Add Distill as an MCP server. The simplest way — from the directory where you want to keep your queue (your "reading project"):

claude mcp add distill -- node /absolute/path/to/distill/index.js

Or manually add to your ~/.claude.json / project .mcp.json:

{
  "mcpServers": {
    "distill": {
      "command": "node",
      "args": ["/absolute/path/to/distill/index.js"]
    }
  }
}

Distill reads and writes files in the current working directory where Claude Code launched, so your queue and transcripts live alongside whatever project you're in. If you want a single global queue, set DISTILL_PROJECT_ROOT:

{
  "mcpServers": {
    "distill": {
      "command": "node",
      "args": ["/absolute/path/to/distill/index.js"],
      "env": { "DISTILL_PROJECT_ROOT": "/Users/you/distill-home" }
    }
  }
}

Restart Claude Code. Confirm with /mcp — you should see distill connected.

Configure

Easy mode: run /distill:setup inside Claude Code. It will walk you through interests, show style, TTS provider, and API key one question at a time.

Manual mode: on first run Distill writes a default .distill file in the project root. Edit it directly:

INTERESTS=entrepreneurship, cybersecurity, AI, startups
SHOW_STYLE=The Briefing
TTS_PROVIDER=openai
OPENAI_API_KEY=sk-...
OUTPUT_DIR=~/Downloads

See .distill.example for a full annotated example.

Note on filesystem layout

The spec describes .distill as both a file and a directory. Since that's not possible, Distill uses:

  • .distill — config file (dotenv format)
  • .distill-data/ — data directory (queue.json, transcripts/)

Slash commands

Claude Code exposes MCP prompts with the prefix /mcp__<server>__<prompt>, so all Distill commands start with /mcp__distill__:

Command What it does
/mcp__distill__setup Interactive first-time configuration (interests, style, TTS, API key)
/mcp__distill__save <url> Fetch and queue an article
/mcp__distill__queue-list Show the current queue
/mcp__distill__queue-clear Empty the queue (no podcast)
/mcp__distill__podcast <url> Generate a podcast from a single article
/mcp__distill__digest Generate a podcast from the queue, then clear
/mcp__distill__interests-add <tag> Add an interest
/mcp__distill__interests-remove <tag> Remove an interest
/mcp__distill__interests-list Show current interests

Tip: you can usually type the first few letters (e.g. /distill-pod) and let autocomplete fill the rest.

All commands also work as natural language:

"Save this to my podcast queue: https://…""Make a Deep Dive from my queue""Skip my usual interests, focus on the technical angle"

Show styles

Style Host dynamic Vibe
The Briefing Anchor + correspondent Clean, newscast
The Debate Skeptic vs optimist Punchy, opinionated
The Deep Dive Expert + curious learner Educational
The Watercooler Two colleagues chatting Casual

Override per session: "Make it a Debate style".

TTS providers

Provider Notes
openai Default recommendation. Requires OPENAI_API_KEY.
elevenlabs Most natural voices. Requires ELEVENLABS_API_KEY.
inworld Character-focused. Requires INWORLD_API_KEY.
system macOS say. Free, robotic. Requires ffmpeg (or sox) to produce MP3: brew install ffmpeg.

How it works

  • Article fetch: @mozilla/readability + jsdom — strips nav/ads/footers and returns clean text.
  • Script generation: the MCP prompt tells Claude Code's own LLM to read the queue, load the show style, and write the dialogue script inline. No separate Claude API key needed.
  • TTS: per-turn synthesis (one API call per dialogue turn, so each host gets its own voice), then concatenated into a single MP3.
  • Transcript: plain-text copy saved to .distill-data/transcripts/ for debugging.
  • Notification: macOS afplay plays a short system sound when the MP3 is ready.

Architecture & costs

Distill is a local, stdio-based MCP server. Everything runs on the user's machine. There is no hosted backend.

 ┌───────────────┐   stdio    ┌───────────────┐    HTTPS     ┌──────────┐
 │ Claude Code   │◀──────────▶│ distill MCP   │────────────▶│ TTS API  │
 │ (your LLM)    │            │ (node process)│              │ (yours)  │
 └───────────────┘            └───────────────┘              └──────────┘
        │                            │
        │                            ▼
        │                   .distill  / .distill-data/
        ▼
  writes script,
  calls tools

Who pays for what:

Cost Paid by
LLM that writes the dialogue The user — it runs inside their Claude Code session, on their Claude subscription / API billing
TTS audio generation The user — they put their own OPENAI_API_KEY / ELEVENLABS_API_KEY / INWORLD_API_KEY in .distill
Hosting Nobody — stdio MCP servers don't need a server

This means anyone forking or installing Distill just clones the repo and points Claude Code at it. No account, no signup, nothing to deploy.

Scope

  • Claude Code only — not a standalone CLI
  • English only
  • macOS assumed for system sound
  • No JS-rendered or paywalled article support
  • No scheduling — generate on demand

Troubleshooting

  • /mcp shows distill as failed — check the absolute path to index.js in your MCP config and that npm install ran in the distill dir.
  • "Could not extract readable content" — the page is probably paywalled or JS-rendered. No retry in v1.
  • TTS fails with "missing API key" — uncomment exactly one TTS_PROVIDER= line in .distill and make sure its matching *_API_KEY is set.
  • system TTS fails with "requires ffmpeg or sox"brew install ffmpeg.

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