The MCP was still calling /api/briefing/* endpoints I deleted in the
journal hard-cut. Replaced the briefing tool surface with a journal
equivalent so external MCP clients can inspect and control the journal
the same way they could the briefing.
Changes:
- New fable_mcp/tools/journal.py — helpers for /api/journal/* endpoints
- Delete fable_mcp/tools/briefing.py — RSS endpoints are gone too
- server.py: drop fable_list_rss_feeds, fable_add_rss_feed, fable_remove_rss_feed,
fable_list_briefings, fable_get_today_briefing, fable_get_briefing_messages,
fable_trigger_briefing, fable_reset_today_briefing
- server.py: add fable_get_today_journal, fable_get_journal_day,
fable_list_journal_days, fable_trigger_journal_prep, fable_get_journal_config,
fable_list_moments
- server.py: fable_get_conversation now points at journal.get_conversation
(same /api/chat/conversations/{id} endpoint, just lives under journal helpers)
- Update _INSTRUCTIONS to describe the journal model (replacing the RSS/briefing
section) — explains the daily prep, moments, day payloads
- Update top-line docstring: "Fable Assistant" → "Fable Scribe"
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Fabled Scribe
A self-hosted second brain and project management application with integrated LLM capabilities. Write, organise, and act on your notes and tasks with the help of a local AI assistant — all running on your own hardware.
Features
Notes and tasks with a Markdown editor, sub-tasks, milestones, and kanban project workspaces. AI chat with streaming responses, RAG over your notes, and tool use (web search, calendar, weather). A daily briefing that digests your tasks, RSS feeds, and weather on a schedule. Knowledge graph, per-user/group sharing, PWA with push notifications, an MCP server for external AI clients, and an Android companion app.
Quick Start
Prerequisites: Docker and Docker Compose. 8 GB+ RAM recommended for LLM inference.
Download docker-compose.quickstart.yml from this repo, then:
# Optional but recommended — set a secret key
export SECRET_KEY=your-random-secret-here
docker compose -f docker-compose.quickstart.yml up -d
Open http://localhost:5000. The first user to register becomes admin. Go to Settings → General to pull an LLM model — qwen3:8b or llama3.1:8b are good starting points.
GPU: Ollama runs CPU-only by default. See the comments in
docker-compose.quickstart.ymlto enable NVIDIA GPU passthrough.
Development: To build from source, see Development.
Documentation
| Doc | Contents |
|---|---|
| Architecture | Stack, design decisions, data models, key services |
| Configuration | Environment variables, Docker Compose, production setup, security |
| Features | Detailed feature breakdown and keyboard shortcuts |
| Development | Dev workflow, CI/CD, migrations, release process |
| API Keys & MCP | API key management and Fable MCP install guide |
| SSO / OAuth | OIDC setup for Authentik, Keycloak, and other providers |
| API Reference | All REST API endpoints |
| Android App | Flutter companion app architecture and feature status |
License
This project is privately maintained.