feat(mcp): replace briefing tools with journal tools

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>
This commit is contained in:
2026-04-26 16:19:53 -04:00
parent 590a07bc13
commit c5498273c3
4 changed files with 994 additions and 233 deletions
+127 -135
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@@ -1,16 +1,16 @@
"""Fable MCP server — exposes Fable Assistant as MCP tools via stdio transport."""
"""Fable MCP server — exposes Fable Scribe as MCP tools via stdio transport."""
from __future__ import annotations
from mcp.server.fastmcp import FastMCP
from dotenv import load_dotenv
from fable_mcp.client import FableClient
from fable_mcp.tools import notes, tasks, projects, milestones, search, chat, admin, briefing
from fable_mcp.tools import notes, tasks, projects, milestones, search, chat, admin, journal
load_dotenv()
_INSTRUCTIONS = """
Fable Assistant is a self-hosted second-brain and project management system with LLM integration.
Fabled Scribe is a self-hosted second-brain and project management system with LLM integration.
## Data model
@@ -68,10 +68,19 @@ Use the direct CRUD tools when:
Use `fable_add_task_log` to append time-stamped progress notes to a task without overwriting
its main body. Suitable for recording work sessions, decisions, or status updates over time.
## RSS / Briefing
## Journal
Fable runs a daily briefing that summarises tasks, calendar events, and RSS feed items.
Use `fable_add_rss_feed` / `fable_remove_rss_feed` to manage the feeds included in that briefing.
Fable Scribe runs a per-day Journal — a conversational surface where the user narrates
their day. Each day has its own conversation. The first assistant message in a day's
conversation is the **daily prep**: an LLM-generated briefing covering today's tasks,
calendar events, weather, active projects, and recent journal context. Subsequent turns
are user/assistant journaling exchanges; the LLM may emit **Moments** (small structured
extractions) via the `record_moment` tool during the conversation.
Use `fable_get_today_journal` to inspect today's prep + conversation. Use
`fable_get_journal_day` for past days. Use `fable_list_moments` to query the structured
journal extractions across days. Use `fable_trigger_journal_prep` to force-regenerate
today's prep prose.
## Admin logs
@@ -582,148 +591,131 @@ async def fable_get_app_logs(
# ---------------------------------------------------------------------------
# Briefing / RSS
# Journal — daily prep, day payloads, moments
# ---------------------------------------------------------------------------
@mcp.tool()
async def fable_list_rss_feeds() -> dict:
"""List all RSS/Atom feeds configured in Fable for the current user.
async def fable_get_today_journal() -> dict:
"""Fetch today's Journal day payload.
Returns id, title, url, category, and last_fetched_at for each feed.
These feeds are summarised in the user's daily briefing.
Creates today's journal conversation and generates the daily prep
message if neither exists yet. Returns:
{
"day_date": "YYYY-MM-DD",
"conversation": { id, title, conversation_type, day_date, ... },
"messages": [ ... ordered list of messages ... ]
}
The first assistant message is the daily prep — a conversational
opener generated by the LLM from gathered tasks/events/weather/
projects/recent moments/open threads. Its ``msg_metadata.sections``
carries the underlying structured data for inspection.
"""
async with FableClient() as client:
return await briefing.list_rss_feeds(client)
return await journal.get_today_journal(client)
@mcp.tool()
async def fable_add_rss_feed(
url: str,
title: str = "",
category: str = "",
async def fable_get_journal_day(iso_date: str) -> dict:
"""Fetch a specific day's Journal payload by ISO date.
Args:
iso_date: YYYY-MM-DD format date.
Returns the same shape as fable_get_today_journal. If no journal
exists for that day, ``conversation`` and ``messages`` will be
null/empty respectively.
"""
async with FableClient() as client:
return await journal.get_journal_day(client, iso_date=iso_date)
@mcp.tool()
async def fable_list_journal_days() -> dict:
"""List dates that have journal content for the current user, newest first.
Returns ``{"days": ["YYYY-MM-DD", ...]}``. Use these dates to query
specific days via ``fable_get_journal_day``.
"""
async with FableClient() as client:
return await journal.list_journal_days(client)
@mcp.tool()
async def fable_trigger_journal_prep(iso_date: str = "") -> dict:
"""Force-regenerate the daily prep prose for today (or a specific day).
The prep is the first assistant message in a day's journal — a
conversational LLM-generated briefing built from tasks/events/weather/
projects/recent moments/open threads. Use this to iterate on the prep
prompt or refresh after data changes.
Args:
iso_date: Optional YYYY-MM-DD. If empty, regenerates today.
Returns ``{"ok": true, "message_id": ...}``.
"""
async with FableClient() as client:
return await journal.trigger_journal_prep(
client, iso_date=iso_date or None,
)
@mcp.tool()
async def fable_get_journal_config() -> dict:
"""Fetch the user's journal config.
Includes prep schedule (prep_enabled / prep_hour / prep_minute),
day rollover hour, phase boundaries, and any locations / temp_unit
used for the prep's weather section.
"""
async with FableClient() as client:
return await journal.get_journal_config(client)
@mcp.tool()
async def fable_list_moments(
query: str = "",
person_id: int = 0,
place_id: int = 0,
tag: str = "",
date_from: str = "",
date_to: str = "",
pinned_only: bool = False,
limit: int = 50,
) -> dict:
"""Add an RSS or Atom feed to Fable's daily briefing.
"""Search/list journal Moments — small structured extractions the LLM emits during journaling.
All filters are optional and combinable. Without a query, returns
moments ordered by occurred_at DESC. With a query, returns
semantically-ranked moments above the similarity threshold.
Args:
url: The RSS/Atom feed URL (required).
title: Optional display name. If omitted, auto-populated from feed metadata.
category: Optional category label to group feeds (e.g. "news", "tech", "finance").
query: Optional semantic query string.
person_id: Filter to moments mentioning this person (0 = no filter).
place_id: Filter to moments mentioning this place (0 = no filter).
tag: Filter to moments with this tag.
date_from: ISO YYYY-MM-DD lower bound (inclusive).
date_to: ISO YYYY-MM-DD upper bound (inclusive).
pinned_only: If True, only return pinned moments.
limit: Max results, default 50.
Returns the created feed object including its assigned id.
Returns ``{"moments": [...]}`` where each moment has id, day_date,
occurred_at, content, raw_excerpt, tags, people, places, task_ids,
note_ids, pinned, and (when query set) score.
"""
async with FableClient() as client:
return await briefing.add_rss_feed(
return await journal.list_moments(
client,
url=url,
title=title or None,
category=category or None,
)
@mcp.tool()
async def fable_remove_rss_feed(feed_id: int) -> dict:
"""Remove an RSS feed from Fable by its ID."""
async with FableClient() as client:
return await briefing.remove_rss_feed(client, feed_id=feed_id)
# ---------------------------------------------------------------------------
# Briefing introspection & control
# ---------------------------------------------------------------------------
@mcp.tool()
async def fable_list_briefings() -> dict:
"""List the user's briefing conversations, newest first.
Each briefing has an associated date and conversation id. Use
``fable_get_briefing_messages`` or ``fable_get_conversation`` with
the id to pull the actual briefing text and tool-call receipts.
Returns a dict with a ``conversations`` list.
"""
async with FableClient() as client:
return await briefing.list_briefing_conversations(client)
@mcp.tool()
async def fable_get_today_briefing() -> dict:
"""Fetch today's briefing conversation, creating it if needed.
Returns the full conversation object including all messages — the
scheduled briefing assistant turns, any tool calls the agentic path
made, and any chat replies the user has sent in the briefing thread.
Use this to inspect what a briefing actually said (and what tool
results grounded it) without having to query by id.
"""
async with FableClient() as client:
return await briefing.get_today_briefing(client)
@mcp.tool()
async def fable_get_briefing_messages(conversation_id: int) -> dict:
"""Fetch all messages for a specific briefing conversation.
Args:
conversation_id: The briefing conversation id from fable_list_briefings.
Returns a dict with a ``messages`` list. Each message includes
role, content, tool_calls (with results), and metadata — the
metadata carries ``briefing_slot`` tags on agentic briefing turns.
"""
async with FableClient() as client:
return await briefing.get_briefing_messages(
client, conversation_id=conversation_id,
)
@mcp.tool()
async def fable_trigger_briefing(slot: str = "compilation") -> dict:
"""Manually run a briefing slot for the current user.
Fires the same data refresh the scheduler does (RSS, weather),
runs the agentic briefing pipeline, and writes the result into
today's briefing conversation. Use this to test prompt changes
without waiting for the next scheduled slot.
Args:
slot: One of ``compilation`` (full morning, default), ``morning``,
``midday``, or ``afternoon``.
Returns a dict with ``conversation_id``, ``message_id``, and ``slot``.
"""
async with FableClient() as client:
return await briefing.trigger_briefing(client, slot=slot)
@mcp.tool()
async def fable_reset_today_briefing(run_compilation: bool = True) -> dict:
"""Wipe today's briefing and (optionally) regenerate from scratch.
Deletes every message in today's briefing conversation — the
conversation row itself is kept so its id stays stable for any
open UI sessions. If ``run_compilation`` is True (the default),
immediately fires the compilation slot afterward so a fresh
briefing lands in place of the deleted content.
Use this when iterating on briefing prompts or tools and you want
to start from a clean slate rather than append another slot update
on top of stale output.
Args:
run_compilation: When True, fire ``POST /api/briefing/trigger``
for the ``compilation`` slot immediately after wiping.
Set False to only wipe without regenerating.
Returns a dict with ``reset`` (the delete result: deleted count +
conversation id) and ``triggered`` (the new message payload, or
null if regeneration was skipped).
"""
async with FableClient() as client:
return await briefing.reset_today_briefing(
client, run_compilation=run_compilation,
query=query or None,
person_id=person_id if person_id else None,
place_id=place_id if place_id else None,
tag=tag or None,
date_from=date_from or None,
date_to=date_to or None,
pinned_only=pinned_only,
limit=limit,
)
@@ -734,18 +726,18 @@ async def fable_reset_today_briefing(run_compilation: bool = True) -> dict:
@mcp.tool()
async def fable_get_conversation(conversation_id: int) -> dict:
"""Fetch any conversation (chat or briefing) with its full message list.
"""Fetch any conversation (chat or journal) with its full message list.
Returns conversation metadata plus an ordered ``messages`` array.
Each message includes role, content, tool_calls (with results),
context_note_id, and msg_metadata. Tool calls are in the stored
flat format: ``[{"function": name, "arguments": {...}, "result": {...}}]``.
Useful for debugging agentic briefings, inspecting chat history,
or verifying that a tool actually ran with the expected arguments.
Useful for inspecting journal preps, chat history, or verifying
that a tool actually ran with the expected arguments.
"""
async with FableClient() as client:
return await briefing.get_conversation(
return await journal.get_conversation(
client, conversation_id=conversation_id,
)
-98
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@@ -1,98 +0,0 @@
"""MCP tools for Fable briefings and RSS feed management."""
from __future__ import annotations
from typing import Any
from fable_mcp.client import FableClient
# ── RSS feeds ────────────────────────────────────────────────────────────────
async def list_rss_feeds(client: FableClient) -> dict[str, Any]:
"""List the user's RSS feeds."""
return await client.get("/api/briefing/feeds")
async def add_rss_feed(
client: FableClient,
*,
url: str,
title: str | None = None,
category: str | None = None,
) -> dict[str, Any]:
"""Add a new RSS feed. Title is optional — auto-populated from feed metadata."""
payload: dict[str, Any] = {"url": url}
if title:
payload["title"] = title
if category:
payload["category"] = category
return await client.post("/api/briefing/feeds", json=payload)
async def remove_rss_feed(client: FableClient, *, feed_id: int) -> dict[str, Any]:
"""Remove an RSS feed by ID."""
return await client.delete(f"/api/briefing/feeds/{feed_id}")
# ── Briefings ────────────────────────────────────────────────────────────────
async def list_briefing_conversations(client: FableClient) -> dict[str, Any]:
"""List the user's briefing conversations, newest first."""
return await client.get("/api/briefing/conversations")
async def get_today_briefing(client: FableClient) -> dict[str, Any]:
"""Fetch today's briefing conversation with all messages."""
return await client.get("/api/briefing/conversations/today")
async def get_briefing_messages(
client: FableClient,
*,
conversation_id: int,
) -> dict[str, Any]:
"""Fetch messages for a specific briefing conversation."""
return await client.get(f"/api/briefing/conversations/{conversation_id}/messages")
async def trigger_briefing(
client: FableClient,
*,
slot: str = "compilation",
) -> dict[str, Any]:
"""Manually trigger a briefing slot — fires data refresh and runs the pipeline.
Slot is one of: compilation (full morning), morning, midday, afternoon.
"""
return await client.post("/api/briefing/trigger", json={"slot": slot})
async def reset_today_briefing(
client: FableClient,
*,
run_compilation: bool = True,
) -> dict[str, Any]:
"""Delete all messages in today's briefing and optionally regenerate.
Wipes the messages in today's briefing conversation (keeping the
conversation row), then, if ``run_compilation`` is True, fires the
compilation slot so a fresh briefing lands in its place.
"""
reset = await client.post("/api/briefing/reset-today")
if not run_compilation:
return {"reset": reset, "triggered": None}
triggered = await client.post(
"/api/briefing/trigger", json={"slot": "compilation"}
)
return {"reset": reset, "triggered": triggered}
# ── Generic conversations ───────────────────────────────────────────────────
async def get_conversation(
client: FableClient,
*,
conversation_id: int,
) -> dict[str, Any]:
"""Fetch any conversation (chat or briefing) with all messages and tool calls."""
return await client.get(f"/api/chat/conversations/{conversation_id}")
+96
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@@ -0,0 +1,96 @@
"""MCP tools for inspecting and controlling the Fable Scribe Journal."""
from __future__ import annotations
from typing import Any
from fable_mcp.client import FableClient
# ── Day payloads ─────────────────────────────────────────────────────────────
async def get_today_journal(client: FableClient) -> dict[str, Any]:
"""Fetch today's journal day payload (creates today's conversation + prep if needed)."""
return await client.get("/api/journal/today")
async def get_journal_day(client: FableClient, *, iso_date: str) -> dict[str, Any]:
"""Fetch a specific day's journal payload by ISO date (YYYY-MM-DD)."""
return await client.get(f"/api/journal/day/{iso_date}")
async def list_journal_days(client: FableClient) -> dict[str, Any]:
"""List dates that have journal content for the current user."""
return await client.get("/api/journal/days")
# ── Daily prep ───────────────────────────────────────────────────────────────
async def trigger_journal_prep(
client: FableClient,
*,
iso_date: str | None = None,
) -> dict[str, Any]:
"""Force-regenerate the daily prep for today (or a specific day)."""
payload: dict[str, Any] = {}
if iso_date:
payload["date"] = iso_date
return await client.post("/api/journal/trigger-prep", json=payload)
# ── Config ───────────────────────────────────────────────────────────────────
async def get_journal_config(client: FableClient) -> dict[str, Any]:
"""Fetch the user's journal config (prep schedule, day rollover, locations, etc.)."""
return await client.get("/api/journal/config")
# ── Moments ──────────────────────────────────────────────────────────────────
async def list_moments(
client: FableClient,
*,
query: str | None = None,
person_id: int | None = None,
place_id: int | None = None,
tag: str | None = None,
date_from: str | None = None,
date_to: str | None = None,
pinned_only: bool = False,
limit: int = 50,
) -> dict[str, Any]:
"""List/search journal moments with optional filters.
All params are optional. Returns a dict with a ``moments`` array.
"""
params: dict[str, str] = {"limit": str(limit)}
if query:
params["query"] = query
if person_id is not None:
params["person_id"] = str(person_id)
if place_id is not None:
params["place_id"] = str(place_id)
if tag:
params["tag"] = tag
if date_from:
params["date_from"] = date_from
if date_to:
params["date_to"] = date_to
if pinned_only:
params["pinned_only"] = "true"
return await client.get("/api/journal/moments", params=params)
# ── Generic conversation access (still works for journal conversations) ───────
async def get_conversation(
client: FableClient,
*,
conversation_id: int,
) -> dict[str, Any]:
"""Fetch any conversation (chat or journal) with its full message list."""
return await client.get(f"/api/chat/conversations/{conversation_id}")