FabledScribe/src/scribe/mcp/server.py

"""FastMCP instance + Quart mount-point. Tools are registered in mcp/tools/."""
from __future__ import annotations

from mcp.server.fastmcp import FastMCP
from mcp.server.transport_security import TransportSecuritySettings
from quart import Quart

_INSTRUCTIONS = """
Scribe is the user's self-hosted second-brain and project-management data
store, and your own system of record for their work. You (Claude) are the
assistant: record what you do here — tasks, work-logs, decisions, notes — and
recall from here before acting. Do not keep the user's project work in local
files (CLAUDE.md, scratch/auto memory) in parallel; Scribe holds the single copy.

Hierarchy: Project -> Milestone -> Task/Note.

What each part is for, and when to reach for it:
- Project: the top-level container for a body of work.
- Milestone: groups related tasks within a project toward a goal (status
  active/done). A milestone is ALSO the home of a plan — its `body` holds the
  design/intent (Goal/Approach/Verification) and its child tasks are the steps.
  Use one when a chunk of work needs its own arc.
- Task: a unit of actionable work with a lifecycle (status
  todo/in_progress/done/cancelled, optional priority). A task is a note with a
  status — reach for one when there is something to DO. Record progress over
  time with work-logs (add_task_log) rather than rewriting the body.
- Issue: a task whose kind is corrective — a problem you fixed or are fixing, as
  opposed to productive `work`. Create it with create_task(kind="issue"); the
  body carries symptom → root cause → fix. It has the full task lifecycle, and
  can link the originating task it arose from (arose_from_id) and the System(s)
  it touches (system_ids). Reach for one whenever you fix something — even in
  passing — instead of burying the fix in another task's work-log.
- Plan: a MILESTONE acting as a plan container — HOW you'll execute a chunk of
  work. The design/intent lives in the milestone `body`; each step is its own
  child task (create_task(milestone_id=...)), tracked with status + work-logs —
  NOT a checkbox buried in the body. Start one with start_planning when
  beginning non-trivial work, before you dive in; read it back with
  get_milestone (body + steps). (The old kind=plan task is retired — some
  historical plan-tasks still exist and remain readable, but don't create new
  ones.)
- Note: durable free-form knowledge — reference material, decisions, logs of
  what happened.
  No lifecycle, not actionable. Reach for one to CAPTURE something worth keeping.
- System: a per-project, reusable, self-describing subsystem/area. Associate any
  record (note, task, issue) with it via system_ids so research, build-work, and
  fixes for the same area line up, and recurring problem-spots surface. Manage
  with create_system / list_systems / get_system.

Mechanics:
- Notes and Tasks share a model; tasks are notes with is_task=True.
- Use the *_note tools for notes, the *_task tools for tasks. Don't mix them.
- Tags are plain strings (no `#` prefix). Empty list clears tags; omit to leave
  unchanged on updates.
- For optional integer FKs (project_id, milestone_id, parent_id), use 0 to mean
  "not set". On update_task, -1 clears an existing FK (e.g. milestone_id=-1
  removes the task from its milestone); 0 leaves it unchanged.

Reach for Scribe to RECALL, not just to record. Scribe is a second brain —
its value is mostly in what it already holds, so make searching it a reflex,
not something you wait to be asked for:
- Before you answer a question about the user's work, or start a task, search
  Scribe first (search / list_tasks / list_notes). Assume relevant prior work
  already exists — a related task, an earlier decision, a prior note — and look
  before you re-derive it or open a duplicate.
- Before creating a task, search for an existing one (search content_type=
  'task') — don't open a second task for work already tracked.
- create_note / create_task enforce this: if a title- or meaning-similar record
  already exists in the same project, the call is BLOCKED and returns
  {"duplicate": true, "existing_id": ...} instead of creating. UPDATE that
  record (update_note / update_task / add_task_log) rather than duplicating.
  Only pass force=true when it's genuinely a distinct record — a duplicate both
  bloats the store and surfaces as a stale competing copy in later searches.
- Scope to the project in scope. When a project is active (you called
  enter_project), pass its project_id to search / list_tasks / list_notes so
  results stay inside that project. Querying with no project_id pulls in every
  project and bleeds unrelated work into the session — only do it for a
  deliberate cross-project sweep. get_recent takes no project filter and spans
  every project; when one is active, prefer the scoped list_* tools over it.
  And this is not only about reads: once a project is in scope, only reference
  or offer work on THAT project — don't surface or propose work from other
  projects unless the operator widens scope. If something clearly belongs to a
  different project, say so and ask before switching; never silently operate
  cross-project. The active project does not stick on the server (each call is
  self-contained); carrying its id forward is on you.

Keep task state honest — this is what makes the project a trustworthy record:
- When you begin working a task, set it to in_progress (update_task
  status=in_progress).
- Log progress as you go with add_task_log — at meaningful steps, not saved up
  for the end.
- The moment a task's work is complete, set it done. Never leave finished work
  at todo/in_progress — an out-of-date status makes Scribe misrepresent what's
  left to do.
- At a meaningful point — finishing a task, or hitting or discovering a problem
  that changes direction — write a short dated note on the project (create_note)
  capturing what happened (the pivots, not just the wins), and set the finished
  task to done.
- When you fix a problem — even one solved in passing — record it as its own
  issue (create_task(kind="issue")) with symptom → root cause → fix in the body,
  NOT as a work-log line on whatever task happened to be open. An issue is
  corrective work with its own lifecycle; recording it discretely (optionally
  linked via arose_from_id to the task it came from, and system_ids to the
  subsystem it touches) is what makes it findable so it isn't diagnosed from
  scratch next time.

Compaction hygiene — recommend compacting at clean seams. Because you record
progress as you go, a context compaction is SAFE: the durable state lives in
Scribe (task status, work-logs, decision notes), not the transcript, so it
survives the summary. Use this rather than letting auto-compaction fire mid-task:
- At the end of a coherent block of work (a task closed, a plan phase finished)
  in a long session, first make sure in-flight state is actually in Scribe —
  update task status, add a work-log, capture any decision as a note. Surface
  the few things worth logging before suggesting the compact.
- Then tell the operator it's a good, safe moment to /compact, naming what you
  logged ("logged to #X/#Y — safe to /compact, nothing will be lost"). You
  cannot run /compact yourself; surface the recommendation and let them decide.
- Recommend it at genuine seams, not every turn. The next session's start will
  prompt you to reload your bearings from Scribe — so a clean-seam compact plus
  that reload loses nothing.

Scribe maintains a Rulebook system (Rulebook -> Topic -> Rule). Rules carry
an actionable statement plus optional Why and How-to-apply context. At the
start of any session that touches Scribe, call list_always_on_rules() to
load the standing rules — treat them as binding. When you also have a project
in scope, get_project(id) returns applicable_rules (rules from rulebooks the
project subscribes to) and subscribed_rulebooks; consult those too. Full text
(Why / How-to-apply) is available via get_rule(id).

Workflow and standards rules live in Scribe. When you notice a pattern
worth codifying, call create_rule (cross-project, lands in a rulebook+topic)
or create_project_rule (one project only, no rulebook ceremony). Do NOT add
new engineering rules to CLAUDE.md or to ~/.claude/.../memory/feedback_*.md
— those stores are reserved for facts about the user (preferences, role,
communication style) and codebase onboarding pointers, respectively. Before
creating a rule, call list_always_on_rules and list_rules(project_id=...) to
avoid duplicates.

Choose a rule's home by WHO it should bind, and keep each home's rules at the
right altitude:
  - Always-on rulebook (a rulebook flagged always_on) — universal norms that
    bind EVERY one of your projects. Reserve for cross-project standards.
  - Subscribed rulebook (always_on off; projects opt in via
    subscribe_project_to_rulebook) — a reusable, THEMED module of general
    rules that binds only the projects which subscribe. Its rules must make
    sense for every project that could subscribe, never one specific project
    (e.g. a design-system rulebook: design-specific but project-agnostic — no
    rule names a single app).
  - Project rule (create_project_rule) — anything specific to ONE project.
Both rulebook tiers are SHARED, so their rules stay general; the difference
between them is REACH (all projects vs opt-in by theme), not generality. Rule
of thumb: names a specific project's files/paths/quirks -> project rule; a
standard a CATEGORY of projects shares -> subscribed rulebook; a universal
norm -> always-on rulebook. Coordinate with the operator on which home fits.

One thing NOT to do: don't bridge Scribe into a session by writing to the
host's native memory. Rules are pull-only, so a fresh session won't reach for
them unless its always-loaded context says to — but the bridge for that is the
Scribe plugin's SessionStart hook, which pushes the always-on rules +
active-project context into each session directly. So do NOT create or refresh
a "rules live in Scribe" pointer in CLAUDE.md / AGENTS.md / ~/.claude memory,
and do NOT keep rules, recall, or plans in those stores in parallel with Scribe
— Scribe holds the single copy. Native auto-memory stays for facts about the
user; CLAUDE.md for codebase onboarding. Never make Scribe's correctness depend
on the operator disabling a native function (e.g. autoMemoryEnabled): the
plugin must work with auto-memory at its default. If the plugin is ever removed
the session loses this push and rebuilds context over time — an acceptable cost,
and far better than a silent settings change the operator may not know about.

When you are working on a specific project, call enter_project(project_id)
ONCE at session start (or whenever the active project changes). It returns the
project, its applicable_rules + project_rules + subscribed_rulebooks, milestone
summary, open tasks, and recent notes — everything you need to know the lay of
the land before mutating. Don't call get_project + get_applicable_rules + a
search separately when enter_project already composes them.

Don't wait to be told which project you're in. At the start of a session that
touches Scribe — or the moment work clearly belongs to a project but none is in
scope — bootstrap project context proactively: search for a related existing
project (search / list_projects, matching on the work's subject, the repo or
directory name, and recent activity). If you find a confident match, propose it
and call enter_project once the operator confirms. If nothing matches, offer to
create a project, confirming its name and goal first. Always confirm before
adopting or creating — never do either silently, and never guess a project into
existence. Once a project is in scope, the enter_project handshake and the
host-memory pointer step above both apply.

A plan is a MILESTONE, and Scribe is the canonical home for it. When you begin
non-trivial work, call start_planning(project_id, title) FIRST — before any
brainstorming, design, or plan-writing skill runs. start_planning creates the
milestone, seeds its `body` with the design template, returns the project's
applicable_rules, and gives you the milestone id you'll write into. Put the
design/intent in the milestone body via update_milestone(milestone_id, body=...);
create each step as a child task with create_task(milestone_id=...) and track it
with status + add_task_log — do NOT list steps as checkboxes in the body. Read
the plan back with get_milestone (body + steps). If a habit tells you to save a
plan or spec to a local `.md` file, that's superseded here: the milestone is the
record, not a local file.

Deletes are recoverable: every delete_* tool moves the entity (and its
descendants) to the trash and returns a deleted_batch_id. Use list_trash() to
see trashed batches, restore(deleted_batch_id) to undo a deletion, and
purge_trash(deleted_batch_id, confirmed=True) for a permanent delete. Trash
auto-purges after the operator's retention window.

Scribe stores reusable Processes — saved prompts/workflows (note_type
"process"), e.g. a drift audit or a DRY pass. When the operator says "run the
X process" or otherwise references a saved process, call list_processes() /
get_process(name) and follow the returned prompt verbatim, including any
"clarify first" steps it contains. Author a new one with create_process(title,
body); edit with update_process.

When developing Scribe itself, honor its multi-user sharing ACL: scope every
read and mutation of user data by owner + shares — never assume a single
operator. "Works for one user" is not done.
"""


# Tools a read-only API key may call. Anything not listed is treated as a
# write for read keys (default-deny), so a newly-added tool is locked down
# until explicitly classified here.
_READ_ONLY_TOOLS = frozenset({
    "get_note", "get_project", "get_rule", "get_rulebook",
    "get_task", "get_milestone", "get_recent", "enter_project",
    "list_milestones", "list_notes", "list_projects", "list_rulebooks",
    "list_rules", "list_tags", "list_tasks", "list_topics", "list_trash",
    "list_always_on_rules", "search",
    "get_system", "list_systems", "list_system_records",
})


async def _buffer_request_body(receive):
    """Drain the ASGI request body and return (body_bytes, replay_receive).

    The MCP sub-app still needs to read the body, so we return a fresh
    `receive` that replays the buffered bytes.
    """
    chunks: list[bytes] = []
    more = True
    while more:
        message = await receive()
        if message["type"] == "http.request":
            chunks.append(message.get("body", b""))
            more = message.get("more_body", False)
        else:  # http.disconnect
            more = False
    body = b"".join(chunks)

    sent = False

    async def replay():
        nonlocal sent
        if not sent:
            sent = True
            return {"type": "http.request", "body": body, "more_body": False}
        return {"type": "http.disconnect"}

    return body, replay


def _body_calls_write_tool(body: bytes) -> bool:
    """True if the JSON-RPC body invokes a tool outside the read all-list."""
    import json
    try:
        payload = json.loads(body)
    except Exception:
        return False
    items = payload if isinstance(payload, list) else [payload]
    for item in items:
        if not isinstance(item, dict):
            continue
        if item.get("method") == "tools/call":
            name = (item.get("params") or {}).get("name", "")
            if name and name not in _READ_ONLY_TOOLS:
                return True
    return False


def build_mcp_server() -> FastMCP:
    """Build the FastMCP instance with all tools registered.

    DNS-rebinding protection is disabled: FastMCP's default allow-list is
    just localhost variants, which means any deployment behind a reverse
    proxy (Traefik with a hostname like devassistant.traefik.internal,
    Cloudflare, nginx, etc.) gets 421 Misdirected Request. The threat
    model that protection addresses — a malicious browser page rebinding
    DNS to hit a localhost MCP — doesn't apply here: this is HTTP transport
    behind a reverse proxy with bearer-token auth as the real security
    boundary.
    """
    # stateless_http=True: don't hand the client a persistent Mcp-Session-Id.
    # The stateful default strands Claude Code after a container redeploy —
    # it reconnects with the now-unknown session id, the server returns 404,
    # and the client won't re-initialize on a 404 (Claude Code issue #60949),
    # so the connection stays dead until a manual /mcp retry. Stateless makes
    # every request self-contained (bearer-auth only), so a post-deploy
    # reconnect just works. Trade-off: no server-pushed list_changed stream,
    # which we don't use — tools are re-fetched on reconnect anyway.
    mcp = FastMCP(
        "scribe",
        instructions=_INSTRUCTIONS.strip(),
        stateless_http=True,
        transport_security=TransportSecuritySettings(
            enable_dns_rebinding_protection=False,
        ),
    )
    from scribe.mcp.tools import register_all
    register_all(mcp)
    return mcp


def mount_mcp(app: Quart) -> None:
    """Mount the FastMCP streamable-HTTP ASGI sub-app at /mcp on the Quart app.

    A small ASGI middleware between Quart and the FastMCP sub-app validates the
    Bearer token against the api_keys table. Authenticated requests have their
    user_id attached to the ASGI scope under "scribe_user_id" for tool handlers
    to read.

    FastMCP's streamable_http session manager owns a task group that must be
    running before it can serve requests. In a stand-alone Starlette deployment
    that would happen via the Starlette `lifespan` parameter. Since we're hosted
    inside Quart, we hook the session manager's `run()` async context manager
    into Quart's serving lifecycle (before_serving / after_serving).
    """
    from scribe.mcp.auth import resolve_bearer

    mcp = build_mcp_server()
    mcp_asgi = mcp.streamable_http_app()
    app.mcp_instance = mcp

    @app.before_serving
    async def _start_mcp_session() -> None:
        cm = mcp.session_manager.run()
        await cm.__aenter__()
        app._mcp_session_cm = cm

    @app.after_serving
    async def _stop_mcp_session() -> None:
        cm = getattr(app, "_mcp_session_cm", None)
        if cm is not None:
            await cm.__aexit__(None, None, None)

    async def auth_wrapped(scope, receive, send):
        if scope["type"] != "http":
            return await mcp_asgi(scope, receive, send)
        # ASGI headers are lowercase bytes per spec; lowercase explicitly to be safe.
        headers = {k.decode().lower(): v.decode() for k, v in scope.get("headers", [])}
        resolved = await resolve_bearer(headers.get("authorization"))
        if resolved is None:
            await send({
                "type": "http.response.start",
                "status": 401,
                "headers": [
                    (b"content-type", b"application/json"),
                    (b"www-authenticate", b'Bearer realm="scribe-mcp"'),
                ],
            })
            await send({
                "type": "http.response.body",
                "body": b'{"error":"unauthorized"}',
            })
            return
        user_id, key_scope = resolved

        # Enforce read-only keys: REST blocks non-GET for scope='read', and the
        # MCP surface must match or the read-only guarantee is void. A tool call
        # arrives as a JSON-RPC POST; buffer the body, and if it invokes a tool
        # outside the read all-list, reject before dispatch. (default-deny: any
        # unknown/new tool is treated as a write for read keys.)
        if key_scope == "read" and scope.get("method") == "POST":
            body, receive = await _buffer_request_body(receive)
            if _body_calls_write_tool(body):
                await send({
                    "type": "http.response.start",
                    "status": 403,
                    "headers": [(b"content-type", b"application/json")],
                })
                await send({
                    "type": "http.response.body",
                    "body": b'{"error":"read-only API key cannot call write tools"}',
                })
                return

        scope["scribe_user_id"] = user_id
        from scribe.mcp._context import _user_id_ctx
        token = _user_id_ctx.set(user_id)
        try:
            await mcp_asgi(scope, receive, send)
        finally:
            _user_id_ctx.reset(token)

    original_asgi = app.asgi_app

    async def dispatch(scope, receive, send):
        if scope["type"] == "http":
            path = scope.get("path", "")
            if path == "/mcp" or path.startswith("/mcp/"):
                # Don't rewrite the path: FastMCP's streamable_http_app mounts
                # its handler at /mcp by default. If we strip the prefix to "/",
                # FastMCP's internal routing returns 404 because there's no
                # handler at "/" — only at "/mcp". Pass the scope through
                # untouched and let FastMCP's own routing match.
                return await auth_wrapped(scope, receive, send)
        return await original_asgi(scope, receive, send)

    app.asgi_app = dispatch