Local MCP server that turns AI conversations into polished ebooks and delivers them to Kindle or email
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"stewreads-mcp","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# stewreads  StewReads is a local MCP server that transforms AI conversations into clean, well-formatted ebooks. Everything runs on your machine, with no account and no cloud backend required. Generate EPUB files from your chats and send them directly to Kindle or any email address. Works with Claude Desktop and other MCP-compatible clients. ## Website vs Local Package The official StewReads website is [stewreads.com](https://stewreads.com). This PyPI package, `stewreads-mcp`, is the local-first MCP version for people who want to run ebook generation from Claude Desktop on their own machine. Installing this package does not connect to a StewReads cloud backend. ## Features - Local-first MCP server with no login or cloud backend - Local stdio MCP server (no backend calls) - EPUB generation from markdown - Save generated ebooks to a configured local directory - Send generated EPUB files by email via built-in Gmail SMTP (App Password) - Optional MP3 audiobook generation via ElevenLabs TTS ## Use Cases - Learn a new topic with Claude and turn the discussion into a polished ebook for later reading. - Generate a focused ebook before a flight and read offline on your e-reader. - Turn long planning or research chats into one clean document you can revisit anytime. - Create Kindle-ready study notes from tutoring or interview-prep conversations. - Save and share AI-generated explainers with friends or teammates over email. ## Requirements - Python 3.10+ - uv for repo development ## Install From PyPI Install the released package: ```bash pip install stewreads-mcp ``` macOS install: ```bash brew install uv ``` ## Setup From Repo Clone and install from this repository: ```bash git clone git@github.com:ankitvg/stewreads-local.git cd stewreads-local uv sync ``` This includes pandoc via `pypandoc-binary`, so no separate pandoc install is required. ## Update Dependencies ```bash uv sync ``` ## Configuration Create…
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.