diff --git a/.gitignore b/.gitignore
index 0ddd61c..0226542 100644
--- a/.gitignore
+++ b/.gitignore
@@ -216,4 +216,5 @@ __marimo__/
 
 # Trail MCP deployment artifacts (k3s manifests + trail Dockerfile) belong with the
 # trail project, not this repo. Kept on disk locally for the live deployment, ignored here.
-/deploy/
\ No newline at end of file
+/deploy/trail-snapshot-store/.venv/
+trail-snapshot-source/.venv/
diff --git a/deploy/Dockerfile.trail-mcp b/deploy/Dockerfile.trail-mcp
new file mode 100644
index 0000000..fec7fbd
--- /dev/null
+++ b/deploy/Dockerfile.trail-mcp
@@ -0,0 +1,67 @@
+# trail-mcp: the Trail MCP server WITH live data-source adapters (FMP / GMD / scores / snapshot).
+#
+# Build from the aiofmp workspace root (the COPYs below are relative to it):
+#   docker build -f deploy/Dockerfile.trail-mcp -t <reg>/trail-mcp-full:<tag> .
+#
+# RECONSTRUCTED 2026-08-12, and committed this time. The working version of this file previously
+# existed only as an uncommitted working-tree edit, and was lost when local main was reset to
+# origin/main (upstream untracked deploy/ in 1eb3b06). Reconstruction verified against the running
+# cache-fix-1 image: trail-lang 0.18.0, trail-fmp 0.3.0, trail-gmd 0.3.0, trail-scores 0.1.0,
+# numpy 2.x, and trail-edgar ABSENT.
+#
+# The base is the upstream release image — language + MCP server, published by trail-lang's own
+# release workflow. This file used to vendor trail-py and reinstall the language on every adapter
+# change; pinning a RELEASED version instead is deliberate. An unpinned working tree is what
+# silently moved the language from 0.15 to 0.17 underneath a tracked view and invalidated a
+# 3.5-hour build. The consequence to remember: local trail-py edits no longer reach the cluster
+# until a version is tagged and this pin is bumped.
+FROM ghcr.io/trail-language/trail-lang:0.18.0
+
+# The base finishes as the unprivileged `trail` user; installs need root, and we drop back after.
+USER root
+WORKDIR /app
+
+# aiofmp from the LOCAL tree, not PyPI. It carries fixes ahead of the published version and pip
+# would consider a same-versioned wheel sufficient — silently installing a client whose bool query
+# params never reach the API, and whose period-based cache never actually avoids a request.
+COPY pyproject.toml README.md aiofmp-src/
+COPY aiofmp aiofmp-src/aiofmp
+RUN pip install --no-cache-dir ./aiofmp-src
+
+# Provider adapters. trail-edgar is deliberately ABSENT: EDGAR was removed from trail.yaml after it
+# aborted a full 5,368-name build by raising CompanyNotFoundError on a ticker it did not know, while
+# only ever covering 39 mega-caps that fmp already served. Two days of runs wrote nothing.
+COPY trail-fmp/pyproject.toml trail-fmp/README.md trail-fmp/
+COPY trail-fmp/trail_fmp trail-fmp/trail_fmp
+COPY trail-gmd/pyproject.toml trail-gmd/README.md trail-gmd/
+COPY trail-gmd/trail_gmd trail-gmd/trail_gmd
+COPY trail-scores/pyproject.toml trail-scores/README.md trail-scores/
+COPY trail-scores/trail_scores trail-scores/trail_scores
+RUN pip install --no-cache-dir ./trail-fmp ./trail-gmd ./trail-scores
+
+# Snapshot integration. These register under DIFFERENT entry-point groups and are not
+# interchangeable: the store under `trail.providers` (writeable view stores), the source under
+# `trail.sources` (read side). A store declared in the wrong group resolves to nothing and trail
+# silently falls back to a local-disk store — a deployment that looks healthy while writing views
+# somewhere else entirely.
+COPY trail-snapshot-store/pyproject.toml trail-snapshot-store/
+COPY trail-snapshot-store/trail_snapshot_store trail-snapshot-store/trail_snapshot_store
+COPY trail-snapshot-source/pyproject.toml trail-snapshot-source/
+COPY trail-snapshot-source/trail_snapshot_source trail-snapshot-source/trail_snapshot_source
+RUN pip install --no-cache-dir ./trail-snapshot-store ./trail-snapshot-source
+
+# numpy is NOT optional despite nothing declaring it. Polars' Rust extension reaches for the NumPy
+# C-API capsule on to_numpy paths and, when numpy is missing, raises a PyO3 PanicException that
+# ABORTS the process — the server dies with SIGSEGV seconds into a fetch, not with an ImportError.
+# It used to arrive transitively (edgartools -> pandas -> numpy); removing EDGAR removed it, and
+# nothing failed until runtime. Pinned here explicitly so the coupling is visible.
+RUN pip install --no-cache-dir "numpy>=2,<3"
+
+# Mount points the ConfigMap/PVCs land on. /scores and /views are written at runtime by the server
+# (to_file and the view store), so they must be writable by the runtime user.
+RUN mkdir -p /cache /gmd-cache /config /scores /views \
+    && chown -R trail:trail /cache /gmd-cache /scores /views
+
+USER trail
+
+# EXPOSE 3000, ENTRYPOINT ["trail","mcp"] and the streamable-http CMD are inherited from the base.
diff --git a/trail-snapshot-source/pyproject.toml b/trail-snapshot-source/pyproject.toml
new file mode 100644
index 0000000..98c58c5
--- /dev/null
+++ b/trail-snapshot-source/pyproject.toml
@@ -0,0 +1,21 @@
+[project]
+name = "trail-snapshot-source"
+version = "0.1.0"
+description = "Expose snapshot facts to trail as panel columns, with a published_at changefeed"
+requires-python = ">=3.11"
+dependencies = ["trail-lang>=0.18.0", "polars>=1.0", "psycopg[binary]>=3.1"]
+
+# trail.sources is the READ-side group - the one trail-fmp uses. View stores go
+# under trail.providers instead; the two are not interchangeable.
+[project.entry-points."trail.sources"]
+snapshot = "trail_snapshot_source:SnapshotSource"
+
+[dependency-groups]
+dev = ["pytest>=8.0"]
+
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[tool.hatch.build.targets.wheel]
+packages = ["trail_snapshot_source"]
diff --git a/trail-snapshot-source/tests/conftest.py b/trail-snapshot-source/tests/conftest.py
new file mode 100644
index 0000000..51bf856
--- /dev/null
+++ b/trail-snapshot-source/tests/conftest.py
@@ -0,0 +1,33 @@
+import os
+import pathlib
+
+import psycopg
+import pytest
+from psycopg.rows import dict_row
+
+# Reuse the harness migrations: this source reads the same schema.
+MIGRATIONS = pathlib.Path(
+    "/home/usmanshahid/Documents/claude/workspaces/harness/snapshot/migrations"
+)
+
+
+@pytest.fixture
+def conn():
+    c = psycopg.connect(
+        os.environ["SNAPSHOT_TEST_DSN"], autocommit=True, row_factory=dict_row
+    )
+    c.execute("DROP SCHEMA IF EXISTS snapshot CASCADE")
+    c.execute("LOAD 'age'")
+    c.execute('SET search_path = ag_catalog, "$user", public')
+    if c.execute(
+        "SELECT 1 FROM ag_catalog.ag_graph WHERE name='snapshot_graph'"
+    ).fetchone():
+        c.execute("SELECT ag_catalog.drop_graph('snapshot_graph', true)")
+    for f in sorted(MIGRATIONS.glob("*.sql")):
+        c.execute(f.read_text())
+    c.execute(
+        "INSERT INTO snapshot.sources (source_id, name) VALUES (1,'test') "
+        "ON CONFLICT DO NOTHING"
+    )
+    yield c
+    c.close()
diff --git a/trail-snapshot-source/tests/test_source.py b/trail-snapshot-source/tests/test_source.py
new file mode 100644
index 0000000..a24b35f
--- /dev/null
+++ b/trail-snapshot-source/tests/test_source.py
@@ -0,0 +1,66 @@
+"""Facts as trail panel columns, plus the changefeed that drives incremental recompute."""
+
+import os
+
+import pytest
+from trail_snapshot_source import SnapshotSource
+
+
+@pytest.fixture
+def src(conn):
+    return SnapshotSource({"dsn": os.environ["SNAPSHOT_TEST_DSN"]})
+
+
+def _fact(conn, subj, pred, val, valid_from, published_at):
+    conn.execute(
+        """INSERT INTO snapshot.facts
+             (subject, predicate, value, kind, valid_from, published_at, fidelity, source_id)
+           VALUES (%s, %s, %s, 'observation', %s, %s, 'vintage', 1)""",
+        (subj, pred, val, valid_from, published_at),
+    )
+
+
+def test_freshness_token_is_none_when_empty(conn, src):
+    assert src.freshness_token() is None
+
+
+def test_freshness_token_moves_when_a_fact_arrives(conn, src):
+    before = src.freshness_token()
+    _fact(conn, "AAPL", "revenue", 1.0, "2025-12-31", "2026-02-01Z")
+    assert src.freshness_token() != before
+
+
+def test_changed_since_returns_only_newer_cells(conn, src):
+    _fact(conn, "AAPL", "revenue", 1.0, "2024-12-31", "2025-02-01Z")
+    _fact(conn, "MSFT", "revenue", 2.0, "2025-12-31", "2026-02-01Z")
+    changed = src.changed_since("2025-06-01T00:00:00+00:00")
+    assert {e for e, _ in changed} == {"MSFT"}
+
+
+def test_changed_since_none_cursor_returns_everything(conn, src):
+    _fact(conn, "AAPL", "revenue", 1.0, "2024-12-31", "2025-02-01Z")
+    assert len(src.changed_since(None)) == 1
+
+
+def test_restatement_dirties_the_cell_again(conn, src):
+    """A restatement arrives as a NEW row with a later published_at, so the same
+    (entity, period) cell must reappear in the changefeed - otherwise the view
+    would never pick the correction up."""
+    _fact(conn, "AAPL", "revenue", 1.0, "2024-12-31", "2025-02-01Z")
+    _fact(conn, "AAPL", "revenue", 0.9, "2024-12-31", "2026-03-01Z")
+    changed = src.changed_since("2025-06-01T00:00:00+00:00")
+    assert ("AAPL", __import__("datetime").date(2024, 12, 31)) in changed
+
+
+def test_load_pivots_predicates_into_columns(conn, src):
+    _fact(conn, "AAPL", "revenue", 100.0, "2025-12-31", "2026-02-01Z")
+    _fact(conn, "AAPL", "net_income", 20.0, "2025-12-31", "2026-02-01Z")
+    df = src.load()
+    assert set(df.columns) >= {"entity", "time", "revenue", "net_income"}
+    assert df.height == 1
+
+
+def test_load_takes_the_latest_published_value(conn, src):
+    _fact(conn, "AAPL", "revenue", 100.0, "2025-12-31", "2026-02-01Z")
+    _fact(conn, "AAPL", "revenue", 90.0, "2025-12-31", "2026-05-01Z")
+    assert src.load()["revenue"].to_list() == [90.0]
diff --git a/trail-snapshot-source/trail_snapshot_source/__init__.py b/trail-snapshot-source/trail_snapshot_source/__init__.py
new file mode 100644
index 0000000..3e69953
--- /dev/null
+++ b/trail-snapshot-source/trail_snapshot_source/__init__.py
@@ -0,0 +1,3 @@
+from .source import SnapshotSource
+
+__all__ = ["SnapshotSource"]
diff --git a/trail-snapshot-source/trail_snapshot_source/source.py b/trail-snapshot-source/trail_snapshot_source/source.py
new file mode 100644
index 0000000..95a912f
--- /dev/null
+++ b/trail-snapshot-source/trail_snapshot_source/source.py
@@ -0,0 +1,98 @@
+"""Expose snapshot facts to trail as panel columns, with a changefeed.
+
+This is the load-bearing half of the trail integration. trail already has the
+incremental update engine the snapshot design needs — per ``trail/views.py``,
+staleness is a declaration hash plus a panel-config fingerprint plus per-source
+freshness, and a source exposing ``changed_since`` gets footprint-scoped
+recompute instead of a whole-view rebuild. We are not building an update engine;
+we are feeding one that works.
+
+``changed_since`` keys on ``published_at`` — the point-in-time clock — so a
+restatement, which arrives as a NEW row with a later ``published_at``, dirties
+exactly the cells it should. ``trail-fmp`` does the same thing keyed on filing
+date (``trail_fmp/source.py:172``), noting that an amendment carries a newer
+acceptedDate; this is the same idea for a different backend.
+"""
+
+from __future__ import annotations
+
+import datetime as dt
+import os
+
+import polars as pl
+import psycopg
+from psycopg.rows import dict_row
+
+# One row per (entity, period), latest publication winning. The DISTINCT ON
+# ordering mirrors snapshot.facts.as_of: published_at DESC picks the newest
+# vintage, and source_id breaks ties deterministically so two sources publishing
+# at the same instant cannot make the panel non-reproducible.
+_LOAD = """
+SELECT DISTINCT ON (subject, predicate, valid_from)
+       subject AS entity, valid_from AS time, predicate, value
+  FROM {schema}.facts
+ WHERE value IS NOT NULL
+ ORDER BY subject, predicate, valid_from, published_at DESC, source_id
+"""
+
+
+class SnapshotSource:
+    """A trail source over ``snapshot.facts``."""
+
+    name = "snapshot"
+
+    def __init__(self, options: dict | None = None) -> None:
+        options = options or {}
+        # Option first, environment second - the precedence trail-fmp uses for
+        # its API key. trail.yaml is a ConfigMap, so a password-bearing DSN has
+        # to arrive through the environment from a secret.
+        self._dsn = options.get("dsn") or os.environ.get("SNAPSHOT_DSN")
+        if not self._dsn:
+            raise ValueError(
+                "E-SNAPSHOT-DSN snapshot source requires a connection string; "
+                "set options.dsn or the SNAPSHOT_DSN environment variable"
+            )
+        self._schema = options.get("schema", "snapshot")
+
+    def _connect(self):
+        return psycopg.connect(self._dsn, autocommit=True, row_factory=dict_row)
+
+    def load(self, *args, **kwargs) -> pl.DataFrame:
+        """The panel: entity x time, one column per predicate."""
+        with self._connect() as c:
+            rows = c.execute(_LOAD.format(schema=self._schema)).fetchall()
+        if not rows:
+            return pl.DataFrame({"entity": [], "time": []})
+        return (
+            pl.DataFrame(rows)
+            .pivot(values="value", index=["entity", "time"], on="predicate")
+            .sort(["entity", "time"])
+        )
+
+    def freshness_token(self) -> str | None:
+        """Max published_at — cheap, and moves whenever anything new lands.
+
+        None means "no freshness signal", which tells trail to serve the stored
+        view until the program changes. That is the correct answer for an empty
+        store: there is nothing to be stale about yet.
+        """
+        with self._connect() as c:
+            row = c.execute(
+                f"SELECT max(published_at) AS m FROM {self._schema}.facts"
+            ).fetchone()
+        return row["m"].isoformat() if row and row["m"] else None
+
+    def changed_since(self, cursor: str | None):
+        """The ``(entity, period-end)`` cells published after ``cursor``.
+
+        ``cursor`` is a token previously returned by :meth:`freshness_token`.
+        None means "everything", which is what a first build wants.
+        """
+        sql = f"SELECT DISTINCT subject, valid_from FROM {self._schema}.facts"
+        params: tuple = ()
+        if cursor is not None:
+            sql += " WHERE published_at > %s"
+            params = (dt.datetime.fromisoformat(cursor),)
+        with self._connect() as c:
+            rows = c.execute(sql, params).fetchall()
+        return {(r["subject"], r["valid_from"]) for r in rows}
diff --git a/trail-snapshot-source/uv.lock b/trail-snapshot-source/uv.lock
new file mode 100644
index 0000000..53fa047
--- /dev/null
+++ b/trail-snapshot-source/uv.lock
@@ -0,0 +1,295 @@
+version = 1
+revision = 3
+requires-python = ">=3.11"
+
+[[package]]
+name = "click"
+version = "8.4.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "colorama", marker = "sys_platform == 'win32'" },
+]
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diff --git a/trail-snapshot-store/pyproject.toml b/trail-snapshot-store/pyproject.toml
new file mode 100644
index 0000000..12d0cc7
--- /dev/null
+++ b/trail-snapshot-store/pyproject.toml
@@ -0,0 +1,23 @@
+[project]
+name = "trail-snapshot-store"
+version = "0.1.0"
+description = "Postgres-backed trail ViewStore: tracked views persisted into the snapshot store"
+requires-python = ">=3.11"
+dependencies = ["trail-lang>=0.18.0", "polars>=1.0", "psycopg[binary]>=3.1"]
+
+# trail.providers is the WRITEABLE VIEW-STORE group (trail/providers.py:17).
+# Sources use trail.sources. Declaring a store under the wrong group resolves to
+# nothing and trail silently falls back to a local-disk store - a deployment
+# that looks healthy while writing views somewhere else entirely.
+[project.entry-points."trail.providers"]
+views_pg = "trail_snapshot_store:PgViewStore"
+
+[dependency-groups]
+dev = ["pytest>=8.0"]
+
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[tool.hatch.build.targets.wheel]
+packages = ["trail_snapshot_store"]
diff --git a/trail-snapshot-store/tests/test_store.py b/trail-snapshot-store/tests/test_store.py
new file mode 100644
index 0000000..b6d75ad
--- /dev/null
+++ b/trail-snapshot-store/tests/test_store.py
@@ -0,0 +1,90 @@
+"""The Postgres ViewStore: trail's 5-method ViewStore ABC, backed by the snapshot DB."""
+
+import os
+
+import polars as pl
+import pytest
+from trail.store import Manifest
+from trail_snapshot_store import PgViewStore
+
+
+@pytest.fixture
+def store():
+    s = PgViewStore({"dsn": os.environ["SNAPSHOT_TEST_DSN"], "schema": "snapshot"})
+    for n in s.list():
+        s.delete(n)
+    return s
+
+
+def _mf(name="rating", expr_hash="h1"):
+    return Manifest(
+        name=name,
+        kind="model",
+        exports=("score",),
+        expr_hash=expr_hash,
+        sources=("fmp",),
+        freshness={"fmp": "t1"},
+        built_at="2026-01-01T00:00:00Z",
+        columns=("views.rating.score",),
+    )
+
+
+def test_write_then_read_roundtrips(store):
+    df = pl.DataFrame(
+        {
+            "entity": ["AAPL", "MSFT"],
+            "time": ["2025-12-31"] * 2,
+            "views.rating.score": [0.8, 0.6],
+        }
+    )
+    store.write("rating", df, _mf())
+    got = store.read("rating")
+    assert got.shape == df.shape
+    assert got["views.rating.score"].to_list() == [0.8, 0.6]
+
+
+def test_manifest_roundtrips(store):
+    store.write("rating", pl.DataFrame({"entity": ["A"]}), _mf())
+    mf = store.manifest("rating")
+    assert mf.expr_hash == "h1" and mf.sources == ("fmp",)
+
+
+def test_rewrite_replaces_rather_than_appends(store):
+    """A rebuild REPLACES a view. Accumulating would silently double every
+    tracked frame on the second build - and the row count would still look
+    plausible."""
+    store.write("rating", pl.DataFrame({"entity": ["A", "B"]}), _mf())
+    store.write("rating", pl.DataFrame({"entity": ["C"]}), _mf(expr_hash="h2"))
+    assert store.read("rating").height == 1
+    assert store.manifest("rating").expr_hash == "h2"
+
+
+def test_missing_view_reads_none(store):
+    assert store.read("nope") is None
+    assert store.manifest("nope") is None
+
+
+def test_delete_and_list(store):
+    store.write("rating", pl.DataFrame({"entity": ["A"]}), _mf())
+    assert "rating" in store.list()
+    assert store.delete("rating") is True
+    assert store.delete("rating") is False
+    assert store.list() == []
+
+
+def test_schema_and_dtypes_survive_the_roundtrip(store):
+    """Parquet round-trip must not silently coerce types - a float score coming
+    back as a string would break every downstream comparison."""
+    df = pl.DataFrame(
+        {
+            "entity": ["AAPL"],
+            "time": ["2025-12-31"],
+            "views.rating.score": [0.8],
+            "views.rating.grade": ["A"],
+            "views.rating.gate_ok": [True],
+        }
+    )
+    store.write("rating", df, _mf())
+    got = store.read("rating")
+    assert got.dtypes == df.dtypes
+    assert got.columns == df.columns
diff --git a/trail-snapshot-store/trail_snapshot_store/__init__.py b/trail-snapshot-store/trail_snapshot_store/__init__.py
new file mode 100644
index 0000000..d92d7a1
--- /dev/null
+++ b/trail-snapshot-store/trail_snapshot_store/__init__.py
@@ -0,0 +1,3 @@
+from .store import PgViewStore
+
+__all__ = ["PgViewStore"]
diff --git a/trail-snapshot-store/trail_snapshot_store/store.py b/trail-snapshot-store/trail_snapshot_store/store.py
new file mode 100644
index 0000000..e857fdf
--- /dev/null
+++ b/trail-snapshot-store/trail_snapshot_store/store.py
@@ -0,0 +1,109 @@
+"""A trail ViewStore backed by the snapshot database.
+
+trail keeps its view-persistence machinery; what changes is where the frames
+land. Instead of parquet files on a local disk, tracked views become rows in the
+snapshot store — so a view sits alongside the facts it was computed from rather
+than in a parallel artifact beside them.
+
+Frames are stored as parquet bytes rather than shredded into columns. trail
+reads and writes whole frames, so a column-per-export schema would buy nothing
+and would need a migration every time a model's exports changed — and this
+project has already had exports change twice.
+
+Registered as ``views_pg`` under the ``trail.providers`` entry-point group. Note
+that trail resolves the store from ``config.providers["views"]`` — a hardcoded
+key — so the trail.yaml stanza must be named ``views`` whatever the driver is.
+"""
+
+from __future__ import annotations
+
+import io
+import json
+import os
+
+import polars as pl
+import psycopg
+from psycopg.rows import dict_row
+from trail.store import Manifest, ViewStore
+
+_DDL = """
+CREATE TABLE IF NOT EXISTS {schema}.views (
+  name       text PRIMARY KEY,
+  frame      bytea NOT NULL,
+  manifest   jsonb NOT NULL,
+  written_at timestamptz NOT NULL DEFAULT now()
+)
+"""
+
+
+class PgViewStore(ViewStore):
+    """Implements trail's five-method ViewStore ABC against Postgres."""
+
+    def __init__(self, options: dict | None = None) -> None:
+        options = options or {}
+        # Option first, environment second — the same precedence trail-fmp uses
+        # for its API key. trail.yaml is a ConfigMap, so the DSN carrying a
+        # password must come from the environment (secret-backed) rather than be
+        # written into config that ends up in version control.
+        self._dsn = options.get("dsn") or os.environ.get("SNAPSHOT_DSN")
+        if not self._dsn:
+            raise ValueError(
+                "E-SNAPSHOT-DSN views_pg requires a connection string; "
+                "set options.dsn or the SNAPSHOT_DSN environment variable"
+            )
+        self._schema = options.get("schema", "snapshot")
+        with self._connect() as c:
+            c.execute(f"CREATE SCHEMA IF NOT EXISTS {self._schema}")
+            c.execute(_DDL.format(schema=self._schema))
+
+    def _connect(self):
+        return psycopg.connect(self._dsn, autocommit=True, row_factory=dict_row)
+
+    def read(self, name: str) -> pl.DataFrame | None:
+        with self._connect() as c:
+            row = c.execute(
+                f"SELECT frame FROM {self._schema}.views WHERE name = %s", (name,)
+            ).fetchone()
+        return pl.read_parquet(io.BytesIO(row["frame"])) if row else None
+
+    def manifest(self, name: str) -> Manifest | None:
+        with self._connect() as c:
+            row = c.execute(
+                f"SELECT manifest FROM {self._schema}.views WHERE name = %s", (name,)
+            ).fetchone()
+        return Manifest.from_dict(row["manifest"]) if row else None
+
+    def write(self, name: str, frame: pl.DataFrame, manifest: Manifest) -> None:
+        buf = io.BytesIO()
+        frame.write_parquet(buf)
+        # UPSERT, not INSERT. A rebuild REPLACES a view; appending would silently
+        # double every tracked frame on the second build, and a doubled row count
+        # still looks plausible enough to go unnoticed.
+        with self._connect() as c:
+            c.execute(
+                f"""
+                INSERT INTO {self._schema}.views (name, frame, manifest)
+                VALUES (%s, %s, %s)
+                ON CONFLICT (name) DO UPDATE
+                   SET frame      = EXCLUDED.frame,
+                       manifest   = EXCLUDED.manifest,
+                       written_at = now()
+                """,
+                (name, buf.getvalue(), json.dumps(manifest.to_dict())),
+            )
+
+    def delete(self, name: str) -> bool:
+        with self._connect() as c:
+            return (
+                c.execute(
+                    f"DELETE FROM {self._schema}.views WHERE name = %s", (name,)
+                ).rowcount
+                > 0
+            )
+
+    def list(self) -> list[str]:
+        with self._connect() as c:
+            rows = c.execute(
+                f"SELECT name FROM {self._schema}.views ORDER BY name"
+            ).fetchall()
+        return [r["name"] for r in rows]
diff --git a/trail-snapshot-store/uv.lock b/trail-snapshot-store/uv.lock
new file mode 100644
index 0000000..849ada2
--- /dev/null
+++ b/trail-snapshot-store/uv.lock
@@ -0,0 +1,295 @@
+version = 1
+revision = 3
+requires-python = ">=3.11"
+
+[[package]]
+name = "click"
+version = "8.4.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
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