114 lines
3.8 KiB
YAML
114 lines
3.8 KiB
YAML
# Hosting stack for a docs MCP server.
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#
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# Replace hvm below with your product name on first deploy.
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# Volumes: usage logs are mounted to a host path so they survive
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# Watchtower-driven container recreates.
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#
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# This template assumes a reverse proxy / Cloudflare Tunnel terminates
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# TLS in front of port 8000. Adjust if your infra differs.
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services:
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# The MCP server. Watchtower auto-pulls on :latest changes.
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morpheus-docs-mcp:
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image: git.jpaul.io/justin/morpheus-docs:latest
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container_name: morpheus-docs-mcp
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restart: unless-stopped
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ports:
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- "8000:8000"
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environment:
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PRODUCT_NAME: "morpheus"
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PRODUCT_DOCS_URL: "https://support.hpe.com/hpesc/public/docDisplay?docId=sd00007732en_us"
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# Streamable-HTTP transport. Stateless mode is required for
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# production: clients don't lose sessions when Watchtower
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# recreates the container.
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MCP_TRANSPORT: streamable-http
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MCP_HOST: 0.0.0.0
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MCP_PORT: "8000"
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# If you run MetaMCP or another gateway in front and reach
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# this container via its compose DNS name (e.g. morpheus-docs-mcp:8000),
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# add that hostname here. "*" disables the rebind check entirely.
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MCP_ALLOWED_HOSTS: "morpheus-docs-mcp,localhost,127.0.0.1"
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# Phase 6 — reranker sidecar (jina-reranker-v2-base via llama.cpp).
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RERANK_URL: http://hvm-rerank:8080
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RERANK_POOL: "200"
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RERANK_TIMEOUT: "30"
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# Phase 8 — hybrid retrieval (BM25 + dense + RRF).
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# Eval on the HVM corpus (eval/results/baseline.md, 2026-05-22) shows
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# BM25-default + reranker beats hybrid on every metric (MRR 0.920 vs
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# 0.875). Leaving HYBRID_SEARCH off so search_docs runs BM25-first +
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# reranker; dense is the fallback when BM25 finds nothing.
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HYBRID_SEARCH: "false"
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# Phase 10 — usage telemetry.
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USAGE_LOG_DIR: /app/var/logs
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USAGE_LOG_KEEP_DAYS: "90"
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volumes:
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# Usage logs persist across container recreates.
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- ./morpheus-docs-mcp-logs:/app/var/logs
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depends_on:
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- hvm-rerank
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labels:
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# Watchtower polls *only* containers with this label set true.
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com.centurylinklabs.watchtower.enable: "true"
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networks:
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- mcp
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# Reranker sidecar — llama.cpp serving jina-reranker-v2-base.
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# Requires GPU access; adjust runtime/devices for your hardware.
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#
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# For dev / CPU-only hosts, swap this service for scripts/rerank_server.py
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# (sentence-transformers ms-marco-MiniLM-L-6-v2). Same /v1/rerank shape,
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# ~500ms/batch on CPU vs ~50ms on GPU with the jina GGUF.
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hvm-rerank:
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image: ghcr.io/ggml-org/llama.cpp:server-cuda
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container_name: hvm-rerank
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restart: unless-stopped
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# Mount the GGUF model from the host. Download from huggingface
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# (gguf-org/jina-reranker-v2-base-multilingual-GGUF) first.
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volumes:
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- /path/to/models:/models:ro
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command: >
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--model /models/jina-reranker-v2-base.Q8_0.gguf
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--reranking
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--host 0.0.0.0
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--port 8080
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--n-gpu-layers 99
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--ctx-size 4096
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: 1
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capabilities: [gpu]
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networks:
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- mcp
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# Watchtower — auto-pulls :latest on push.
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# Only watches containers labeled `com.centurylinklabs.watchtower.enable=true`.
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watchtower:
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image: containrrr/watchtower:latest
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container_name: watchtower
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restart: unless-stopped
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volumes:
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- /var/run/docker.sock:/var/run/docker.sock
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environment:
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WATCHTOWER_POLL_INTERVAL: "300" # 5 min
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WATCHTOWER_LABEL_ENABLE: "true"
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WATCHTOWER_CLEANUP: "true" # remove old images after pull
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# If your registry requires auth, mount a docker config:
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# volumes:
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# - ./registry-auth.json:/config.json:ro
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networks:
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- mcp
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networks:
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mcp:
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driver: bridge
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