diff --git a/.dockerignore b/.dockerignore
new file mode 100644
index 0000000..0f137ba
--- /dev/null
+++ b/.dockerignore
@@ -0,0 +1,28 @@
+.git
+.github
+.venv
+__pycache__
+**/__pycache__
+**/*.pyc
+**/*.pyo
+.pytest_cache
+.mypy_cache
+.ruff_cache
+.lancedb
+*.duckdb
+.env
+.env.*
+.envrc
+chart/
+docs/
+eval/
+tree/
+*.md
+!README.md
+.claude
+.ai
+.cursor
+agent-transcripts
+terminals
+uv.lock
+Makefile
diff --git a/.gitignore b/.gitignore
index 06c74d2..6a538d5 100644
--- a/.gitignore
+++ b/.gitignore
@@ -8,6 +8,7 @@
 *.duckdb
 *.lance
 .lancedb/
+.cache/
 
 __pycache__*
 .venv
diff --git a/Dockerfile b/Dockerfile
new file mode 100644
index 0000000..0201962
--- /dev/null
+++ b/Dockerfile
@@ -0,0 +1,59 @@
+# syntax=docker/dockerfile:1.7
+FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim AS builder
+
+WORKDIR /build
+
+ENV UV_COMPILE_BYTECODE=1 \
+    UV_LINK_MODE=copy \
+    UV_PYTHON_DOWNLOADS=0 \
+    PIP_DISABLE_PIP_VERSION_CHECK=1
+
+RUN uv venv /opt/venv
+ENV PATH="/opt/venv/bin:$PATH"
+
+RUN --mount=type=cache,target=/root/.cache/uv \
+    uv pip install \
+      "mcp[cli]>=1.6" \
+      "qdrant-client>=1.12" \
+      "fastembed>=0.4" \
+      "onnxruntime<1.24"
+
+COPY kb/__init__.py kb/config.py kb/embed.py /build/kb/
+COPY kb/adapters/ /build/kb/adapters/
+COPY kb/mcp_retrieval/ /build/kb/mcp_retrieval/
+
+ENV FASTEMBED_CACHE_PATH=/opt/fastembed \
+    HOME=/tmp \
+    PYTHONPATH=/build
+RUN mkdir -p /opt/fastembed \
+ && python -c "from fastembed import TextEmbedding; TextEmbedding(model_name='BAAI/bge-small-en-v1.5')"
+
+FROM python:3.12-slim-bookworm AS runtime
+
+RUN apt-get update \
+ && apt-get install -y --no-install-recommends libgomp1 \
+ && rm -rf /var/lib/apt/lists/* \
+ && groupadd --gid 1000 mcp \
+ && useradd --uid 1000 --gid mcp --create-home --home-dir /home/mcp mcp
+
+# Ownership via COPY --chown avoids a recursive chown/chmod metadata layer that
+# stalls Colima's containerd unpack on large onnxruntime/fastembed trees.
+# /opt/venv stays root-owned; pip installs are world-readable (a+rX) so uid 1000 works.
+COPY --from=builder /opt/venv /opt/venv
+COPY --from=builder --chown=1000:1000 /build/kb /app/kb
+COPY --from=builder --chown=1000:1000 /opt/fastembed /opt/fastembed
+
+ENV PATH="/opt/venv/bin:$PATH" \
+    PYTHONPATH=/app \
+    PYTHONUNBUFFERED=1 \
+    PYTHONDONTWRITEBYTECODE=1 \
+    HOME=/home/mcp \
+    FASTEMBED_CACHE_PATH=/opt/fastembed \
+    QDRANT_NETWORK=internal
+
+WORKDIR /app
+USER 1000:1000
+
+# stdio by default, override with --transport streamable-http for HTTP.
+ENTRYPOINT ["python", "-m", "kb.mcp_retrieval"]
+CMD []
diff --git a/Makefile b/Makefile
index 1554a9f..b73400e 100644
--- a/Makefile
+++ b/Makefile
@@ -1,12 +1,22 @@
 PY := uv run python
 
+# kb-retrieval MCP image (must match chart/values.yaml image.* unless overridden)
+IMAGE_REPO ?= ghcr.io/teaglebuilt/kb-retrieval
+IMAGE_TAG  ?= 0.1.0
+IMAGE      ?= $(IMAGE_REPO):$(IMAGE_TAG)
+GHCR_HOST  ?= ghcr.io
+GHCR_SCOPES ?= write:packages,read:packages
+DOCKER_BUILDKIT ?= 1
+BUILDKIT_PROGRESS ?= plain
+
 .DEFAULT_GOAL := help
-.PHONY: help install extract ingest reindex index query sync qdrant-forward golden clean \
+.PHONY: help install extract ingest reindex index query sync mcp-retrieval golden clean \
+        docker-build docker-login docker-push helm-deploy mcp-image \
         secrets-status secrets-encrypt secrets-decrypt secrets-check secrets-config secrets-hooks
 
 help:
 	@grep -E '^[a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | \
-		awk 'BEGIN {FS = ":.*?## "}; {printf "  \033[36m%-16s\033[0m %s\n", $$1, $$2}'
+		awk 'BEGIN {FS = ":.*?## "}; {printf "  \033[36m%-18s\033[0m %s\n", $$1, $$2}'
 
 install:
 	uv sync
@@ -28,6 +38,32 @@ query: ## Query the local index: make query Q="ebpf network policy"
 sync: ## Push local LanceDB vectors -> Qdrant on the k8s cluster
 	$(PY) -m kb sync
 
+mcp-retrieval: ## Run kb_search MCP (stdio). QDRANT_NETWORK=internal|external
+	$(PY) -m kb.mcp_retrieval --transport stdio
+
+docker-build: ## Build kb-retrieval MCP image (bakes bge-small FastEmbed weights)
+	DOCKER_BUILDKIT=$(DOCKER_BUILDKIT) BUILDKIT_PROGRESS=$(BUILDKIT_PROGRESS) \
+		docker build -t $(IMAGE) -f Dockerfile .
+
+docker-login: ## Login to GHCR using gh auth token (write:packages)
+	@command -v gh >/dev/null || { echo "gh CLI required (https://cli.github.com)"; exit 1; }
+	@gh auth status -h github.com >/dev/null 2>&1 || { echo "run: gh auth login"; exit 1; }
+	@gh auth status -h github.com 2>&1 | grep -q 'write:packages' || \
+		gh auth refresh -h github.com -s $(GHCR_SCOPES)
+	@TOKEN=$$(gh auth token); \
+	echo "$$TOKEN" | docker login $(GHCR_HOST) -u "$$(gh api user --jq .login)" --password-stdin
+
+docker-push: docker-build docker-login ## Push kb-retrieval image to IMAGE_REPO
+	docker push $(IMAGE)
+
+helm-deploy: ## Install/upgrade chart; qdrant.apikey from QDRANT_API_KEY (.envrc)
+	@test -n "$${QDRANT_API_KEY}" || { \
+		echo "QDRANT_API_KEY not set — run: direnv allow  (or export from .envrc)"; \
+		exit 1; \
+	}
+	helm upgrade --install knowledge-tree chart -n ai \
+		--set-string qdrant.apikey="$${QDRANT_API_KEY}"
+
 golden: ## Measure retrieval quality (recall@k / MRR) against eval/golden.yaml
 	$(PY) -m kb eval
 
diff --git a/chart/.helmignore b/chart/.helmignore
new file mode 100644
index 0000000..10f6927
--- /dev/null
+++ b/chart/.helmignore
@@ -0,0 +1,8 @@
+# Patterns to ignore when packaging the chart.
+*.md
+.git
+.gitignore
+.DS_Store
+*.tgz
+*.bak
+*.tmp
diff --git a/chart/Chart.yaml b/chart/Chart.yaml
new file mode 100644
index 0000000..5f7cc10
--- /dev/null
+++ b/chart/Chart.yaml
@@ -0,0 +1,7 @@
+---
+apiVersion: v2
+name: knowledge-tree
+description: Knowledge-tree read plane (kb-retrieval MCP + knowledge-scout agent)
+type: application
+version: '1.0.0'
+appVersion: '0.1.0'
\ No newline at end of file
diff --git a/chart/templates/agent.yaml b/chart/templates/agent.yaml
new file mode 100644
index 0000000..81b3519
--- /dev/null
+++ b/chart/templates/agent.yaml
@@ -0,0 +1,139 @@
+---
+apiVersion: kagent.dev/v1alpha2
+kind: Agent
+metadata:
+  name: knowledge-scout
+  namespace: ai
+  labels:
+    app.kubernetes.io/name: knowledge-scout
+    app.kubernetes.io/part-of: knowledge
+spec:
+  description: >-
+    Research agent that finds gaps in the knowledge tree via kb_search,
+    scouts fresh external sources, and proposes citeable content for tree/
+  declarative:
+    runtime: go
+    modelConfig: llmd-vllm-config
+    promptTemplate:
+      dataSources:
+        - alias: builtin
+          kind: ConfigMap
+          name: kagent-builtin-prompts
+    systemMessage: |
+      # Knowledge Scout
+
+      You research **new content to add to the knowledge tree** (`tree/…`).
+      You are not a general chatbot. Every run ends with structured proposals
+      grounded in (a) what the tree already has and (b) fresh external signals.
+
+      ## Role
+      Ai platform engineer who curates a git-backed knowledge vault
+      for storing content which will be used for context for ai agents.
+      Prefer lab-proven, citeable material over hype.
+
+      ## Tools (use in this order)
+      1. `kb_search` — semantic search over the existing `knowledge` collection
+         (paths under `tree/…`, headings, tags, chunk text). **Always first.**
+      2. `datetime_get_current_time` — freshness window (last 1–2 weeks).
+      3. Firecrawl — web/YouTube/Reddit/HN/blogs; papers; GitHub research.
+      4. `shell` — light local checks only when needed (never cluster mutate).
+      5. `qdrant-find` / `qdrant-store` — optional staging of approved ideas
+         in the content-ideas collection (dedupe before store).
+
+      ## Protocol (every scout run)
+      Follow these steps. Do not skip step 1.
+
+      ### 1. Map the tree (kb_search)
+      Call `kb_search` with 2–4 focused queries that cover the topic area.
+      Example queries:
+      - `"kgateway HTTPRoute internal TLS"`
+      - `"ArgoCD ApplicationSet multi-cluster"`
+      - `"eBPF Cilium NetworkPolicy"`
+      - `monero`
+      - `stablecoin opportunites`
+      - `roblox engineering`
+  
+      From hits, extract:
+      - Covered paths (`tree/…`)
+      - Headings / tags already strong
+      - **Gaps**: missing depth, stale framing, no lab notes, no failure modes
+
+      If `kb_search` fails, say so and continue with external research only —
+      mark confidence lower.
+
+      ### 2. Scout external signals (freshness: last 1–2 weeks)
+      Use Firecrawl tools against YouTube, Reddit, HN, blogs, papers, GitHub.
+      Prefer primary sources and reproducible recipes over opinion threads.
+
+      ### 3. Deduce & propose
+      For each idea, reason briefly:
+      - Gap in tree? (cite `path=` from kb_search)
+      - Evidence? (URLs + dates)
+      - Where it should land? (suggested `tree/…` path)
+
+      Quality bar: **5–10 solid proposals** per full scout. Skip thin ideas.
+
+      ### 4. Output format (always)
+      Emit proposals as a markdown list. Each item MUST use this template:
+
+      ```
+      ### <Title>
+      - **Why**: audience pain + evidence (1–2 sentences)
+      - **Gap**: what kb_search showed is missing (cite tree paths)
+      - **Suggested path**: tree/<branch>/...
+      - **Sources**: URL (date) · URL (date)
+      - **Category**: kubernetes | networking | gitops | secrets | observability | aws | ai | other
+      - **Freshness**: YYYY-MM-DD — why now
+      - **Confidence**: high | medium | low
+      ```
+
+      End with a short **Coverage summary**: topics searched, paths already
+      covered, gaps still open.
+
+      When an idea is approved later: content is converted to markdown and
+      the tree is updated via pull request. You do **not** write files yourself.
+
+      ## Hard guardrails
+      - NEVER modify cluster infrastructure (kubectl apply/delete, CRDs, etc.)
+      - NEVER install system packages
+      - NEVER invent `tree/` paths as if they exist — only cite paths returned
+        by `kb_search`, or clearly label new paths as **proposed**
+      - NEVER expose write tools against the `knowledge` collection
+      - If unsure whether an action is safe, report instead of acting
+      - Answer ONLY with research findings + proposals; no filler
+      - Must be in English
+
+      ## Style
+      Practical, hands-on, honest. Lab notes and failure modes beat theory.
+      English, structured, citeable. Breadth with signal, not link dumps.
+    tools:
+      - type: McpServer
+        mcpServer:
+          kind: MCPServer
+          name: kb-retrieval
+          toolNames:
+            - kb_search
+      - type: McpServer
+        mcpServer:
+          kind: RemoteMCPServer
+          name: kagent-tool-server
+          toolNames:
+            - shell
+            - datetime_get_current_time
+      - type: McpServer
+        mcpServer:
+          kind: RemoteMCPServer
+          name: firecrawl
+          toolNames:
+            - firecrawl_firecrawl_search
+            - firecrawl_firecrawl_agent
+            - firecrawl_firecrawl_agent_status
+            - firecrawl_firecrawl_research_search_github
+            - firecrawl_firecrawl_research_search_papers
+      - type: McpServer
+        mcpServer:
+          kind: RemoteMCPServer
+          name: qdrant-mcp
+          toolNames:
+            - qdrant-find
+            - qdrant-store
diff --git a/chart/templates/mcp_server.yaml b/chart/templates/mcp_server.yaml
new file mode 100644
index 0000000..85fe50e
--- /dev/null
+++ b/chart/templates/mcp_server.yaml
@@ -0,0 +1,73 @@
+apiVersion: {{ .Values.mcpServer.apiVersion }}
+kind: MCPServer
+metadata:
+  name: {{ .Values.mcpServer.name }}
+  namespace: {{ .Values.namespace }}
+  labels:
+    app.kubernetes.io/name: {{ .Values.mcpServer.name }}
+    app.kubernetes.io/part-of: knowledge
+    app.kubernetes.io/component: mcp-retrieval
+spec:
+  transportType: {{ .Values.mcpServer.transportType }}
+  stdioTransport: {}
+  timeout: {{ .Values.mcpServer.timeout | quote }}
+  deployment:
+    image: "{{ .Values.image.repository }}:{{ .Values.image.tag }}"
+    imagePullPolicy: {{ .Values.image.pullPolicy }}
+    {{- with .Values.image.pullSecrets }}
+    imagePullSecrets:
+      {{- toYaml . | nindent 6 }}
+    {{- end }}
+    port: {{ .Values.mcpServer.port }}
+    replicas: {{ .Values.mcpServer.replicas }}
+    cmd: {{ .Values.mcpServer.cmd | quote }}
+    args:
+      {{- toYaml .Values.mcpServer.args | nindent 6 }}
+    env:
+      QDRANT_NETWORK: {{ .Values.qdrant.network | quote }}
+      QDRANT_INTERNAL_URL: {{ .Values.qdrant.internalUrl | quote }}
+      QDRANT_EXTERNAL_URL: {{ .Values.qdrant.externalUrl | quote }}
+      {{- if .Values.qdrant.url }}
+      QDRANT_URL: {{ .Values.qdrant.url | quote }}
+      {{- end }}
+      {{- if .Values.qdrant.verify }}
+      QDRANT_VERIFY: {{ .Values.qdrant.verify | quote }}
+      {{- end }}
+      {{- if .Values.qdrant.apikey }}
+      QDRANT_API_KEY: {{ .Values.qdrant.apikey | quote }}
+      {{- end }}
+      COLLECTION_NAME: {{ .Values.qdrant.collection | quote }}
+      EMBEDDING_MODEL: {{ .Values.embedding.model | quote }}
+      KB_SEARCH_DEFAULT_K: {{ .Values.search.defaultK | quote }}
+      KB_SEARCH_MAX_K: {{ .Values.search.maxK | quote }}
+      HOME: /home/mcp
+      PYTHONUNBUFFERED: "1"
+      PYTHONDONTWRITEBYTECODE: "1"
+      FASTEMBED_CACHE_PATH: {{ .Values.fastembedCachePath | quote }}
+    {{- if and .Values.qdrant.existingSecretEnabled .Values.qdrant.existingSecret }}
+    # Secret keys become env vars (kmcp envFrom). Expect key: QDRANT_API_KEY
+    {{- end }}
+    volumeMounts:
+      {{- if .Values.writableVolumes.home }}
+      - name: home
+        mountPath: /home/mcp
+      {{- end }}
+      {{- if .Values.writableVolumes.tmp }}
+      - name: tmp
+        mountPath: /tmp
+      {{- end }}
+    volumes:
+      {{- if .Values.writableVolumes.home }}
+      - name: home
+        emptyDir: {}
+      {{- end }}
+      {{- if .Values.writableVolumes.tmp }}
+      - name: tmp
+        emptyDir: {}
+      {{- end }}
+    resources:
+      {{- toYaml .Values.resources | nindent 6 }}
+    podSecurityContext:
+      {{- toYaml .Values.podSecurityContext | nindent 6 }}
+    securityContext:
+      {{- toYaml .Values.securityContext | nindent 6 }}
diff --git a/chart/values.yaml b/chart/values.yaml
new file mode 100644
index 0000000..1e30cda
--- /dev/null
+++ b/chart/values.yaml
@@ -0,0 +1,90 @@
+# knowledge-tree chart — kb-retrieval MCPServer + knowledge-scout Agent
+
+# Namespace for MCPServer / Agent CRs (kagent lives in `ai` on mlops).
+namespace: ai
+
+# TODO: publish the image (make docker-push) before cluster deploy.
+# Placeholder registry path — replace if your org uses a different GHCR/name.
+image:
+  repository: ghcr.io/teaglebuilt/kb-retrieval
+  tag: "0.1.0"
+  pullPolicy: IfNotPresent
+  pullSecrets:
+    - name: ghcr-secret
+
+mcpServer:
+  name: kb-retrieval
+  # kagent MCPServer CR apiVersion (stdio stdioTransport).
+  apiVersion: kagent.dev/v1alpha1
+  transportType: stdio
+  timeout: 120s
+  replicas: 1
+  port: 3000
+  # Explicit cmd so the CR does not rely solely on image ENTRYPOINT.
+  cmd: python
+  args:
+    - -m
+    - kb.mcp_retrieval
+
+# Qdrant connection. When url is empty, QDRANT_NETWORK selects internal vs external.
+# Prefer network=internal for in-cluster DNS (pod near Qdrant on application/data).
+qdrant:
+  network: internal
+  internalUrl: http://qdrant.data.svc.cluster.local:6333
+  externalUrl: https://qdrant.homelab.internal
+  # Set via `make helm-deploy` from QDRANT_API_KEY in .envrc — do not commit real keys.
+  apikey: ""
+  # Optional hard override (wins over network mode when set).
+  url: ""
+  # Empty → kb.config defaults (verify=true for internal HTTP, false for external TLS).
+  verify: ""
+  collection: knowledge
+  # Existing Secret in the same namespace; keys are injected as env (envFrom).
+  # Create e.g.: kubectl -n ai create secret generic qdrant-apikey --from-literal=QDRANT_API_KEY=...
+  # Prefer existingSecret over --set for production.
+  # Set false to omit secretRefs (local/dev without auth).
+  existingSecretEnabled: false
+
+embedding:
+  model: BAAI/bge-small-en-v1.5
+
+search:
+  defaultK: "8"
+  maxK: "20"
+
+# Baked FastEmbed cache path inside the image (do not mount emptyDir over this).
+fastembedCachePath: /opt/fastembed
+
+resources:
+  requests:
+    cpu: 100m
+    memory: 512Mi
+  limits:
+    cpu: "1"
+    memory: 2Gi
+
+podSecurityContext:
+  runAsNonRoot: true
+  runAsUser: 1000
+  runAsGroup: 1000
+  fsGroup: 1000
+  seccompProfile:
+    type: RuntimeDefault
+
+securityContext:
+  allowPrivilegeEscalation: false
+  capabilities:
+    drop:
+      - ALL
+  readOnlyRootFilesystem: true
+  runAsNonRoot: true
+
+# emptyDir mounts for writable paths when root FS is read-only.
+# Model weights stay at fastembedCachePath (image layer); HOME is for runtime only.
+writableVolumes:
+  home: true
+  tmp: true
+
+agent:
+  # knowledge-scout Agent template (chart/templates/agent.yaml) — enable when ready.
+  enabled: true
diff --git a/docs/architecture.md b/docs/architecture.md
index 1785d7f..04a3c50 100644
--- a/docs/architecture.md
+++ b/docs/architecture.md
@@ -42,7 +42,15 @@
                    │                    │   make sync    │  (homelab k8s)     │   backup       │                    │
                    │  .lancedb/         │ ─────────────▶ │  collection:       │ ─────────────▶ │  snapshots /       │
                    │  kb.duckdb         │                │  knowledge         │ ◀───────────── │  object storage    │
-                   └────────────────────┘                └────────────────────┘   restore      └────────────────────┘
+                   └────────────────────┘                └─────────┬──────────┘   restore      └────────────────────┘
+                                                                   │
+                                                                   │ kb_search (MCP)
+                                                                   ▼
+                                                         ┌────────────────────┐
+                                                         │  kb-retrieval MCP  │
+                                                         │  QDRANT_NETWORK=   │
+                                                         │  internal|external │
+                                                         └────────────────────┘
 
 
 ┌──────────────────────────────────────────────────────────────────────────────┐
diff --git a/kb/adapters/__init__.py b/kb/adapters/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/kb/adapters/qdrant.py b/kb/adapters/qdrant.py
new file mode 100644
index 0000000..2d33eb4
--- /dev/null
+++ b/kb/adapters/qdrant.py
@@ -0,0 +1,53 @@
+"""Shared Qdrant client factory (sync + MCP read plane)."""
+from __future__ import annotations
+
+from urllib.parse import urlparse
+
+from .. import config
+
+
+def client():
+    """Build a QdrantClient using URL port/scheme defaults correctly.
+
+    qdrant-client defaults port=6333 even for https://host with no port,
+    which breaks ingress on 443. Prefer the URL's port, else scheme default.
+    """
+    from qdrant_client import QdrantClient
+
+    parsed = urlparse(config.QDRANT_URL)
+    if parsed.port is not None:
+        port = parsed.port
+    else:
+        port = 443 if parsed.scheme == "https" else 6333
+
+    return QdrantClient(
+        url=config.QDRANT_URL,
+        port=port,
+        api_key=config.QDRANT_API_KEY,
+        check_compatibility=False,
+        verify=config.QDRANT_VERIFY,
+    )
+
+
+def unnamed_vector_size(collection_info) -> int:
+    """Return size of the unnamed/default vector, or raise if named-only."""
+    vectors = collection_info.config.params.vectors
+    if hasattr(vectors, "size"):
+        return int(vectors.size)
+    raise RuntimeError(
+        "Collection uses named vectors; knowledge expects the unnamed default vector"
+    )
+
+
+def assert_collection_compatible(qdrant, collection: str, expected_dim: int) -> None:
+    """Fail fast if the collection is missing or wrong dimensionality."""
+    existing = {c.name for c in qdrant.get_collections().collections}
+    if collection not in existing:
+        raise RuntimeError(
+            f"Qdrant collection {collection!r} not found at {config.QDRANT_URL}"
+        )
+    size = unnamed_vector_size(qdrant.get_collection(collection))
+    if size != expected_dim:
+        raise RuntimeError(
+            f"Collection {collection!r} vector size is {size}, expected {expected_dim}"
+        )
diff --git a/kb/config.py b/kb/config.py
index 2256e66..e0aff71 100644
--- a/kb/config.py
+++ b/kb/config.py
@@ -10,6 +10,11 @@
 _vol = os.environ.get("KNOWLEDGE_VOLUME_PATH", "").strip()
 SOURCE_VOLUME = Path(_vol).expanduser() if _vol else None
 
+# Local staging dir when the volume is TCC-blocked for Python (macOS /Volumes).
+# Finder can still copy; extract stages there then reads.
+_cache = os.environ.get("KB_SOURCE_CACHE", "").strip()
+SOURCE_CACHE = Path(_cache).expanduser() if _cache else ROOT / ".cache" / "sources"
+
 TREE_DIR = os.environ.get("KB_TREE_DIR", "tree")
 BRANCHES_PATH = Path(os.environ.get("KB_BRANCHES", ROOT / TREE_DIR / "branches.yaml"))
 SOPS_CONFIG_PATH = Path(os.environ.get("KB_SOPS_CONFIG", ROOT / ".sops.yaml"))
@@ -19,7 +24,12 @@
 
 LANCE_TABLE = os.environ.get("KB_LANCE_TABLE", "chunks")
 
-EMBED_MODEL = os.environ.get("KB_EMBED_MODEL", "BAAI/bge-small-en-v1.5")
+# Story / chart aliases: EMBEDDING_MODEL, COLLECTION_NAME
+EMBED_MODEL = (
+    os.environ.get("EMBEDDING_MODEL")
+    or os.environ.get("KB_EMBED_MODEL")
+    or "BAAI/bge-small-en-v1.5"
+)
 EMBED_DIM = int(os.environ.get("KB_EMBED_DIM", "384"))
 
 CHILD_TOKENS = int(os.environ.get("KB_CHILD_TOKENS", "450"))
@@ -27,14 +37,49 @@
 
 GOLDEN_PATH = Path(os.environ.get("KB_GOLDEN", ROOT / "eval" / "golden.yaml"))
 
-QDRANT_URL = os.environ.get("QDRANT_URL", "https://qdrant.homelab.internal")
+# Qdrant network mode selects cluster DNS vs gateway when QDRANT_URL is unset.
+#   internal — in-cluster Service DNS (application/data next to Qdrant)
+#   external — cross-cluster / laptop via ingress gateway
+_qdrant_network = os.environ.get("QDRANT_NETWORK", "external").strip().lower()
+if _qdrant_network in {"internal", "incluster", "cluster", "in-cluster"}:
+    QDRANT_NETWORK = "internal"
+elif _qdrant_network in {"external", "gateway", "outcluster", "out-of-cluster"}:
+    QDRANT_NETWORK = "external"
+else:
+    raise ValueError(
+        f"QDRANT_NETWORK={_qdrant_network!r}; expected 'internal' or 'external'"
+    )
+
+QDRANT_INTERNAL_URL = os.environ.get(
+    "QDRANT_INTERNAL_URL", "http://qdrant.data.svc.cluster.local:6333"
+)
+QDRANT_EXTERNAL_URL = os.environ.get(
+    "QDRANT_EXTERNAL_URL", "https://qdrant.homelab.internal"
+)
+
+if os.environ.get("QDRANT_URL"):
+    QDRANT_URL = os.environ["QDRANT_URL"]
+elif QDRANT_NETWORK == "internal":
+    QDRANT_URL = QDRANT_INTERNAL_URL
+else:
+    QDRANT_URL = QDRANT_EXTERNAL_URL
+
 QDRANT_API_KEY = os.environ.get("QDRANT_API_KEY")  # optional
-QDRANT_COLLECTION = os.environ.get("QDRANT_COLLECTION", "knowledge")
+QDRANT_COLLECTION = (
+    os.environ.get("COLLECTION_NAME")
+    or os.environ.get("QDRANT_COLLECTION")
+    or "knowledge"
+)
 
-_qdrant_verify = os.environ.get("QDRANT_VERIFY", "true").strip()
+# TLS verify: default off for external gateway (homelab CA); on for in-cluster HTTP.
+_default_verify = "true" if QDRANT_NETWORK == "internal" else "false"
+_qdrant_verify = os.environ.get("QDRANT_VERIFY", _default_verify).strip()
 if _qdrant_verify.lower() in {"0", "false", "no", "off"}:
     QDRANT_VERIFY: bool | str = False
 elif _qdrant_verify.lower() in {"1", "true", "yes", "on"}:
     QDRANT_VERIFY = True
 else:
     QDRANT_VERIFY = _qdrant_verify  # path to CA bundle
+
+KB_SEARCH_DEFAULT_K = int(os.environ.get("KB_SEARCH_DEFAULT_K", "8"))
+KB_SEARCH_MAX_K = int(os.environ.get("KB_SEARCH_MAX_K", "20"))
diff --git a/kb/embed.py b/kb/embed.py
index 00f5251..fd0373e 100644
--- a/kb/embed.py
+++ b/kb/embed.py
@@ -20,4 +20,6 @@ def embed(texts: list[str]) -> list[list[float]]:
 
 
 def embed_query(text: str) -> list[float]:
-    return embed([text])[0]
+    """Query-space embedding (FastEmbed query_embed, not passage embed)."""
+    vector = next(_model().query_embed(text))
+    return vector.tolist()
diff --git a/kb/extract.py b/kb/extract.py
index f11b7d1..a21d2fd 100644
--- a/kb/extract.py
+++ b/kb/extract.py
@@ -3,6 +3,7 @@
 import datetime as _dt
 import hashlib
 import re
+import subprocess
 import xml.etree.ElementTree as ET
 from pathlib import Path
 from typing import NamedTuple
@@ -70,6 +71,78 @@ def _sha256(p: Path) -> str:
     return h.hexdigest()
 
 
+def _can_read(p: Path) -> bool:
+    """True if Python can open bytes (stat can succeed while open is TCC-blocked)."""
+    try:
+        if _is_bundle(p):
+            for f in p.rglob("*"):
+                if f.is_file():
+                    with f.open("rb") as fh:
+                        fh.read(1)
+                    return True
+            return p.is_dir()
+        with p.open("rb") as fh:
+            fh.read(1)
+        return True
+    except OSError:
+        return False
+
+
+def _applescript_quote(s: str) -> str:
+    return s.replace("\\", "\\\\").replace('"', '\\"')
+
+
+def _finder_stage(src: Path, dest: Path) -> Path:
+    """Copy src → dest via Finder (bypasses macOS TCC that blocks Python on /Volumes)."""
+    dest.parent.mkdir(parents=True, exist_ok=True)
+    src_q = _applescript_quote(str(src))
+    dest_dir_q = _applescript_quote(str(dest.parent) + "/")
+    script = f'''
+tell application "Finder"
+  set srcItem to POSIX file "{src_q}" as alias
+  set destFolder to POSIX file "{dest_dir_q}" as alias
+  duplicate srcItem to destFolder with replacing
+end tell
+'''
+    proc = subprocess.run(
+        ["osascript", "-e", script],
+        capture_output=True,
+        text=True,
+    )
+    if proc.returncode != 0:
+        err = (proc.stderr or proc.stdout or "Finder duplicate failed").strip()
+        raise OSError(err)
+
+    staged = dest.parent / src.name
+    if staged.resolve() != dest.resolve():
+        if dest.exists():
+            if dest.is_dir():
+                import shutil
+                shutil.rmtree(dest)
+            else:
+                dest.unlink()
+        staged.rename(dest)
+    return dest
+
+
+def _ensure_readable(src: Path, declared: str) -> Path:
+    """Return a path Python can read; stage via Finder into SOURCE_CACHE if needed."""
+    if _can_read(src):
+        return src
+
+    cache = config.SOURCE_CACHE / declared
+    if cache.exists() and _can_read(cache):
+        # Refresh when volume file looks newer (mtime/size via stat still works under TCC).
+        try:
+            src_stat, cache_stat = src.stat(), cache.stat()
+            if src_stat.st_size == cache_stat.st_size and src_stat.st_mtime <= cache_stat.st_mtime:
+                return cache
+        except OSError:
+            return cache
+
+    print(f"  ~ staging (TCC): {declared} -> {cache.relative_to(config.ROOT) if cache.is_relative_to(config.ROOT) else cache}")
+    return _finder_stage(src, cache)
+
 def _clean_title(stem: str) -> str:
     s = _ZLIB_NOISE.sub("", stem)
     s = re.sub(r"\(\s*\)", "", s)            # drop parens emptied by noise removal
@@ -169,7 +242,7 @@ def _pdf_to_md(path: Path) -> str:
         pymupdf4llm.use_layout(False)
     except Exception:
         pass
-    return _collapse_blank(pymupdf4llm.to_markdown(str(path), show_progress=False))
+    return _collapse_blank(pymupdf4llm.to_markdown(str(path), show_progress=True))
 
 
 def _convert(path: Path) -> str:
@@ -225,11 +298,17 @@ def _frontmatter(decl: Decl, source: Path, source_hash: str) -> str:
 
 def run(force: bool = False) -> dict:
     extracted = skipped = failed = missing = 0
+    print("extraced", extracted)
+    print("skipped", skipped)
+    print("failed", failed)
+    print("missing", missing)
 
     for decl in declarations():
         label = "/".join((*decl.domain, decl.bucket, decl.slug))
+        print("label", label)
         try:
             src = decl.resolve()
+            print("source", src)
         except ValueError as e:
             print(f"  ! {label}: {e}")
             failed += 1
@@ -241,10 +320,13 @@ def run(force: bool = False) -> dict:
             continue
 
         target = decl.target
+        print("target", target)
         try:
-            src_hash = _sha256(src)
+            readable = _ensure_readable(src, decl.declared)
+            src_hash = _sha256(readable)
         except OSError as e:  # unreadable mount, permissions, vanished file
-            print(f"  ! {label}: cannot read source ({e.strerror})")
+            detail = e.strerror or str(e)
+            print(f"  ! {label}: cannot read source ({detail})")
             failed += 1
             continue
 
@@ -253,7 +335,8 @@ def run(force: bool = False) -> dict:
             continue
 
         try:
-            body = _convert(src)
+            body = _convert(readable)
+            print("body", body)
         except Exception as e:  # a bad file shouldn't sink the whole run
             print(f"  ! {label}: {type(e).__name__}: {e}")
             failed += 1
diff --git a/kb/mcp_retrieval/__init__.py b/kb/mcp_retrieval/__init__.py
new file mode 100644
index 0000000..a706aa4
--- /dev/null
+++ b/kb/mcp_retrieval/__init__.py
@@ -0,0 +1,5 @@
+"""Knowledge-tree read plane: MCP tools over Qdrant `knowledge`."""
+
+from .server import create_server, mcp
+
+__all__ = ["create_server", "mcp"]
diff --git a/kb/mcp_retrieval/__main__.py b/kb/mcp_retrieval/__main__.py
new file mode 100644
index 0000000..2032c87
--- /dev/null
+++ b/kb/mcp_retrieval/__main__.py
@@ -0,0 +1,45 @@
+"""Entry: python -m kb.mcp_retrieval [--transport stdio|streamable-http]."""
+from __future__ import annotations
+
+import argparse
+import os
+import sys
+
+from .. import config
+from .server import mcp
+
+
+def main(argv: list[str] | None = None) -> int:
+    parser = argparse.ArgumentParser(
+        prog="kb.mcp_retrieval",
+        description="Knowledge-tree MCP read plane (kb_search → Qdrant)",
+    )
+    parser.add_argument(
+        "--transport",
+        choices=("stdio", "sse", "streamable-http"),
+        default=os.environ.get("MCP_TRANSPORT", "stdio"),
+    )
+    parser.add_argument("--host", default=os.environ.get("MCP_HOST", "0.0.0.0"))
+    parser.add_argument(
+        "--port",
+        type=int,
+        default=int(os.environ.get("MCP_PORT", "3000")),
+    )
+    args = parser.parse_args(argv)
+
+    print(
+        f"kb-retrieval: network={config.QDRANT_NETWORK} "
+        f"url={config.QDRANT_URL} collection={config.QDRANT_COLLECTION} "
+        f"transport={args.transport}",
+        file=sys.stderr,
+    )
+
+    if args.transport == "stdio":
+        mcp.run(transport="stdio")
+    else:
+        mcp.run(transport=args.transport, host=args.host, port=args.port)
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/kb/mcp_retrieval/server.py b/kb/mcp_retrieval/server.py
new file mode 100644
index 0000000..aed7bd9
--- /dev/null
+++ b/kb/mcp_retrieval/server.py
@@ -0,0 +1,44 @@
+"""MCP API layer: expose kb_search only (read-only)."""
+from __future__ import annotations
+
+import asyncio
+
+from mcp.server.mcpserver import MCPServer
+
+from .. import config
+from .service import KnowledgeSearch
+
+mcp = MCPServer(
+    name="kb-retrieval",
+    instructions=(
+        "Read-only knowledge-tree retrieval over Qdrant collection "
+        f"{config.QDRANT_COLLECTION}. Use kb_search to find citeable chunks."
+    ),
+)
+
+_search: KnowledgeSearch | None = None
+
+
+def _service() -> KnowledgeSearch:
+    global _search
+    if _search is None:
+        _search = KnowledgeSearch()
+    return _search
+
+
+@mcp.tool()
+async def kb_search(query: str, k: int = config.KB_SEARCH_DEFAULT_K) -> str:
+    """Semantic search over the knowledge collection.
+
+    Returns ranked chunks with path, heading, tags, score, and text for citations.
+    """
+    service = _service()
+    return await asyncio.to_thread(service.search_formatted, query, k)
+
+
+def create_server(search: KnowledgeSearch | None = None) -> MCPServer:
+    """Build the MCP server; optionally inject a search service (tests)."""
+    global _search
+    if search is not None:
+        _search = search
+    return mcp
diff --git a/kb/mcp_retrieval/service.py b/kb/mcp_retrieval/service.py
new file mode 100644
index 0000000..d9d5b3f
--- /dev/null
+++ b/kb/mcp_retrieval/service.py
@@ -0,0 +1,47 @@
+"""Service: embed query → ANN search → citation-friendly text."""
+from __future__ import annotations
+
+from .. import config, embed
+from .store import QdrantChunkStore, SearchHit
+
+
+class KnowledgeSearch:
+    """Read-only knowledge search (no writes)."""
+
+    def __init__(self, store: QdrantChunkStore | None = None) -> None:
+        self._store = store or QdrantChunkStore()
+
+    def search(self, query: str, k: int | None = None) -> list[SearchHit]:
+        question = query.strip()
+        if not question:
+            raise ValueError("query must be a non-empty string")
+        limit = _clamp_k(k)
+        vector = embed.embed_query(question)
+        return self._store.search(vector, limit)
+
+    def search_formatted(self, query: str, k: int | None = None) -> str:
+        hits = self.search(query, k)
+        return format_hits(hits)
+
+
+def _clamp_k(k: int | None) -> int:
+    if k is None:
+        return config.KB_SEARCH_DEFAULT_K
+    if k < 1:
+        raise ValueError("k must be >= 1")
+    return min(k, config.KB_SEARCH_MAX_K)
+
+
+def format_hits(hits: list[SearchHit]) -> str:
+    if not hits:
+        return "No results."
+    blocks = []
+    for hit in hits:
+        tags = ",".join(hit.tags)
+        blocks.append(
+            f'<chunk path="{hit.path}" heading="{hit.heading}" '
+            f'score="{hit.score:.4f}" tags="{tags}">\n'
+            f"{hit.text.strip()}\n"
+            f"</chunk>"
+        )
+    return "\n\n".join(blocks)
diff --git a/kb/mcp_retrieval/store.py b/kb/mcp_retrieval/store.py
new file mode 100644
index 0000000..7f0ef76
--- /dev/null
+++ b/kb/mcp_retrieval/store.py
@@ -0,0 +1,52 @@
+"""Repository: read-only ANN search against Qdrant."""
+from __future__ import annotations
+
+from dataclasses import dataclass
+from typing import Any
+
+from .. import config
+from ..adapters import qdrant
+
+
+@dataclass(frozen=True)
+class SearchHit:
+    score: float
+    path: str
+    heading: str
+    tags: list[str]
+    text: str
+    chunk_id: str
+
+
+class QdrantChunkStore:
+    """Thin wrapper around Qdrant query_points (unnamed default vector)."""
+
+    def __init__(self, client: Any | None = None) -> None:
+        self._client = client or qdrant.client()
+        qdrant.assert_collection_compatible(
+            self._client, config.QDRANT_COLLECTION, config.EMBED_DIM
+        )
+
+    def search(self, vector: list[float], limit: int) -> list[SearchHit]:
+        response = self._client.query_points(
+            collection_name=config.QDRANT_COLLECTION,
+            query=vector,
+            limit=limit,
+            with_payload=True,
+        )
+        return [_to_hit(point) for point in response.points]
+
+
+def _to_hit(point: Any) -> SearchHit:
+    payload = point.payload or {}
+    tags = payload.get("tags") or []
+    if not isinstance(tags, list):
+        tags = [str(tags)]
+    return SearchHit(
+        score=float(point.score or 0.0),
+        path=str(payload.get("path") or ""),
+        heading=str(payload.get("heading") or ""),
+        tags=[str(t) for t in tags],
+        text=str(payload.get("text") or ""),
+        chunk_id=str(payload.get("chunk_id") or ""),
+    )
diff --git a/kb/sync.py b/kb/sync.py
index f3f000a..106e680 100644
--- a/kb/sync.py
+++ b/kb/sync.py
@@ -3,27 +3,7 @@
 import json
 
 from . import config, store
-
-
-def _client():
-    from urllib.parse import urlparse
-
-    from qdrant_client import QdrantClient
-    # qdrant-client defaults port=6333 even for https://host (no port in URL),
-    # which breaks ingress on 443. Use the URL's port, else scheme default.
-    parsed = urlparse(config.QDRANT_URL)
-    if parsed.port is not None:
-        port = parsed.port
-    else:
-        port = 443 if parsed.scheme == "https" else 6333
-
-    return QdrantClient(
-        url=config.QDRANT_URL,
-        port=port,
-        api_key=config.QDRANT_API_KEY,
-        check_compatibility=False,
-        verify=config.QDRANT_VERIFY,
-    )
+from .adapters.qdrant import client as _client
 
 
 def _point_id(chunk_id: str) -> str:
diff --git a/pyproject.toml b/pyproject.toml
index 74d9097..bd8717f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -8,6 +8,7 @@ dependencies = [
     "duckdb>=1.1",
     "fastembed>=0.4",
     "qdrant-client>=1.12",
+    "mcp[cli]>=1.6",
     "pyyaml>=6.0",
     "tantivy>=0.22",       # enables LanceDB full-text (BM25) index for hybrid search
     "ebooklib>=0.18",      # epub reader (spine -> XHTML) for source extraction
diff --git a/uv.lock b/uv.lock
index 8f8a822..cf00816 100644
--- a/uv.lock
+++ b/uv.lock
@@ -8,6 +8,15 @@ resolution-markers = [
     "python_full_version < '3.12'",
 ]
 
+[[package]]
+name = "annotated-doc"
+version = "0.0.5"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/5a/8e/38aa427ed5402449e226975b649c5dc73ccadfefeb95e6aecb8f8ea4b6b6/annotated_doc-0.0.5.tar.gz", hash = "sha256:c7e58ce09192557605d8bbd92836d7e1d520ac9580096042c0bfd197efacf1bb", size = 10758 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/3e/30/e900b21425a860e195f32e37657aa1f7c7f2b1bfb26f03ca209b90933c06/annotated_doc-0.0.5-py3-none-any.whl", hash = "sha256:117bac03a25ede5df5440e855b32d556049ca169ead221505badf432fed4b101", size = 5302 },
+]
+
 [[package]]
 name = "annotated-types"
 version = "0.8.0"
@@ -30,6 +39,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/da/35/f2287558c17e29fafc8ef3daf819bb9834061cfa43bff8014f7df7f63bdc/anyio-4.14.2-py3-none-any.whl", hash = "sha256:9f505dda5ac9f0c8309b5e8bd445a8c2bf7246f3ce950121e45ea15bc41d1494", size = 125813 },
 ]
 
+[[package]]
+name = "attrs"
+version = "26.1.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/9a/8e/82a0fe20a541c03148528be8cac2408564a6c9a0cc7e9171802bc1d26985/attrs-26.1.0.tar.gz", hash = "sha256:d03ceb89cb322a8fd706d4fb91940737b6642aa36998fe130a9bc96c985eff32", size = 952055 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/64/b4/17d4b0b2a2dc85a6df63d1157e028ed19f90d4cd97c36717afef2bc2f395/attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309", size = 67548 },
+]
+
 [[package]]
 name = "beautifulsoup4"
 version = "4.15.0"
@@ -52,6 +70,104 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/0b/a7/71ac2cff56fec219ed242bb11b8efb69fcc4bec75db06fb7bfe35de520e6/certifi-2026.7.22-py3-none-any.whl", hash = "sha256:62f22742b58a1a33014a2b6b706588a8d7e2a88ae7bd1a6ebe8c992928483775", size = 136983 },
 ]
 
+[[package]]
+name = "cffi"
+version = "2.1.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "pycparser", marker = "implementation_name != 'PyPy'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/9e/ef/008a1939e372c06329a3fce4279c02f328488f3526744906eeec3da7ad5f/cffi-2.1.1.tar.gz", hash = "sha256:dd31f52ea1086513bb9df30f8fcee9b8918323ae067a3d5b78bc826a000712be", size = 530807 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/70/d2/16d99a0c4948febc0ebd133a13b2f688ff7f8cb04da971e1128872ce0c03/cffi-2.1.1-cp311-cp311-macosx_10_15_x86_64.whl", hash = "sha256:c8d2c9fd1f2d16f780d15127abb050d13d1a76c03a4bd87d7e4980e45e511e12", size = 183838 },
+    { url = "https://files.pythonhosted.org/packages/cd/95/31b535a9f0220ae9f357de4a08d57ce89cb417653c2fd9f075f50822a388/cffi-2.1.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:398aff33cee2767e3e781d2554c54bd0dff386bb437581e0d8011fde1a942ec1", size = 184168 },
+    { url = "https://files.pythonhosted.org/packages/ad/5a/4707a0dc1f203f5dde5a907b0d4e3c25d71120241048bd5bc6f1bb9d4e71/cffi-2.1.1-cp311-cp311-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:154852545011f779917b11c78db2358d095da62a9a172b78ad0a583ee5adc0d0", size = 211805 },
+    { url = "https://files.pythonhosted.org/packages/ad/66/c19feabb28485b6e0bbaaafa90837a1ef5d302e90f2178bd33f17a49879b/cffi-2.1.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:3311ed60d36f83378794e1009ac6258bafbf81f7888b4caa7b35a521e3f95813", size = 218716 },
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