bvandeusen
97c22941a8
Settings → MCP Access now lets you tune the generated snippet:
- Server name input (default: 'scribe', stored per browser in
localStorage). The name appears both in the claude mcp add
command and as the JSON key in claude_desktop_config.json's
mcpServers map.
- Scope dropdown: user / project / local. Drives the --scope
flag in the claude mcp add snippet. Picks 'project' to commit
the server into the current repo's .mcp.json.
User-visible 'Fable' → 'Scribe' in MCP Access tab copy (lead text,
Claude Desktop step). Branding pivot in the rest of the app
(assistant_name placeholder, SMTP defaults, version line, etc.) is
deferred — chat/journal copy is going away in Phase 7 anyway.
Deliberately NOT touched:
- Tool names (fable_*) — protocol-level identifiers; renaming
breaks any Claude session, agent, or automation that referenced
them. Warrants its own phase.
- mcp/server.py: FastMCP('fable', ...) server name — same reason.
- Internal package name fabledassistant — per the project's
naming convention (CLAUDE.md memory), internal stays.
Co-Authored-By: Claude Opus 4.7 (1M context) <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.