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    crg

    mcpkey · package
    io.github.n24q02m/crg · v3.30.0
    deploy just this

    Token-efficient code review knowledge graph: semantic search and call-graph resolution.

    run it

    on your own machines, one way per deploy method
    generated from the record, not tested yet
    #!/usr/bin/env bash
    # crg (io.github.n24q02m/crg), recipe baremetal (generated).
    # Generated by Hub for toolset "my-agent"; started by mcp-my-agent-crg.service.
    set -euo pipefail
    export HOST=127.0.0.1 PORT=8101
    exec uvx mcp-proxy --host 127.0.0.1 --port 8101 --pass-environment -- uvx better-code-review-graph==3.30.0
    
    [Unit]
    Description=MCP server crg (toolset my-agent), generated by Hub
    After=network-online.target
    Wants=network-online.target
    
    [Service]
    Type=simple
    User=mcp
    Group=mcp
    EnvironmentFile=/etc/mcp/my-agent.env
    Environment=HOME=/var/lib/mcp/crg
    WorkingDirectory=/var/lib/mcp/crg
    ExecStart=/opt/mcp/my-agent/bin/crg.sh
    Restart=on-failure
    RestartSec=5
    NoNewPrivileges=true
    ProtectSystem=strict
    ProtectHome=true
    PrivateTmp=true
    ReadWritePaths=/var/lib/mcp/crg
    
    [Install]
    WantedBy=multi-user.target
    
    generated from the record, not tested yet
    docker run --rm -p 127.0.0.1:8101:8000 -e EMBEDDING_MODELS -e LOCAL_EMBEDDING_MODEL -e LOCAL_RERANK_MODEL -e LOCAL_EMBEDDING_DIM -e LOCAL_EMBEDDING_MODEL_FILE -e LOCAL_EMBEDDING_POOLING -e LOCAL_EMBEDDING_NORMALIZE -e HULL_EMBED_API_KEY -e HULL_CHAT_API_KEY -e EMBEDDING_BACKEND ghcr.io/astral-sh/uv:python3.12-bookworm-slim sh -c 'uvx mcp-proxy --host 0.0.0.0 --port 8000 --pass-environment -- uvx better-code-review-graph==3.30.0'
    
    generated from the record, not tested yet
    # Generated by Hub for toolset "my-agent" (2026-10-18T12:34:17+00:00).
    # Each package server runs behind a stdio->HTTP bridge and listens on localhost only.
    #   cp .env.example .env    # fill the ${VAR}s
    #   docker compose up -d && bash smoke.sh
    # Remote servers are not here: clients reach them directly (see clients/).
    name: mcp-my-agent
    services:
      crg:
        image: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
        command:
        - sh
        - -c
        - uvx mcp-proxy --host 0.0.0.0 --port 8000 --pass-environment -- uvx better-code-review-graph==3.30.0
        ports:
        - 127.0.0.1:8101:8000
        volumes:
        - uv-cache:/root/.cache/uv
        healthcheck:
          test:
          - CMD
          - python3
          - -c
          - import urllib.request; urllib.request.urlopen('http://127.0.0.1:8000/status')
          interval: 30s
          timeout: 5s
          retries: 5
          start_period: 2m
        restart: unless-stopped
        environment:
          EMBEDDING_MODELS: ${EMBEDDING_MODELS}
          LOCAL_EMBEDDING_MODEL: ${LOCAL_EMBEDDING_MODEL}
          LOCAL_RERANK_MODEL: ${LOCAL_RERANK_MODEL}
          LOCAL_EMBEDDING_DIM: ${LOCAL_EMBEDDING_DIM}
          LOCAL_EMBEDDING_MODEL_FILE: ${LOCAL_EMBEDDING_MODEL_FILE}
          LOCAL_EMBEDDING_POOLING: ${LOCAL_EMBEDDING_POOLING}
          LOCAL_EMBEDDING_NORMALIZE: ${LOCAL_EMBEDDING_NORMALIZE}
          HULL_EMBED_API_KEY: ${HULL_EMBED_API_KEY}
          HULL_CHAT_API_KEY: ${HULL_CHAT_API_KEY}
          EMBEDDING_BACKEND: ${EMBEDDING_BACKEND}
    volumes:
      npm-cache: {}
      uv-cache: {}
    
    generated from the record, not tested yet
    # Generated by Hub for toolset "my-agent" (2026-10-18T12:34:17+00:00).
    #   kubectl create namespace mcp
    #   kubectl -n mcp create secret generic mcp-credentials --from-env-file=.env
    #   kubectl apply -f kubernetes.yaml
    # Services are cluster-internal: <name>.mcp.svc.cluster.local:8000/mcp. Put an ingress
    # with auth in front before exposing any of them.
    apiVersion: v1
    kind: Namespace
    metadata:
      name: mcp
    ---
    apiVersion: apps/v1
    kind: Deployment
    metadata:
      name: crg
      namespace: mcp
      labels: &id001
        app: crg
    spec:
      replicas: 1
      selector:
        matchLabels: *id001
      template:
        metadata:
          labels: *id001
        spec:
          containers:
          - name: crg
            image: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
            ports:
            - containerPort: 8000
              name: http
            env:
            - name: EMBEDDING_MODELS
              valueFrom:
                secretKeyRef:
                  name: mcp-credentials
                  key: EMBEDDING_MODELS
            - name: LOCAL_EMBEDDING_MODEL
              valueFrom:
                secretKeyRef:
                  name: mcp-credentials
                  key: LOCAL_EMBEDDING_MODEL
            - name: LOCAL_RERANK_MODEL
              valueFrom:
                secretKeyRef:
                  name: mcp-credentials
                  key: LOCAL_RERANK_MODEL
            - name: LOCAL_EMBEDDING_DIM
              valueFrom:
                secretKeyRef:
                  name: mcp-credentials
                  key: LOCAL_EMBEDDING_DIM
            - name: LOCAL_EMBEDDING_MODEL_FILE
              valueFrom:
                secretKeyRef:
                  name: mcp-credentials
                  key: LOCAL_EMBEDDING_MODEL_FILE
            - name: LOCAL_EMBEDDING_POOLING
              valueFrom:
                secretKeyRef:
                  name: mcp-credentials
                  key: LOCAL_EMBEDDING_POOLING
            - name: LOCAL_EMBEDDING_NORMALIZE
              valueFrom:
                secretKeyRef:
                  name: mcp-credentials
                  key: LOCAL_EMBEDDING_NORMALIZE
            - name: HULL_EMBED_API_KEY
              valueFrom:
                secretKeyRef:
                  name: mcp-credentials
                  key: HULL_EMBED_API_KEY
            - name: HULL_CHAT_API_KEY
              valueFrom:
                secretKeyRef:
                  name: mcp-credentials
                  key: HULL_CHAT_API_KEY
            - name: EMBEDDING_BACKEND
              valueFrom:
                secretKeyRef:
                  name: mcp-credentials
                  key: EMBEDDING_BACKEND
            command:
            - sh
            - -c
            - uvx mcp-proxy --host 0.0.0.0 --port 8000 --pass-environment -- uvx better-code-review-graph==3.30.0
            readinessProbe:
              httpGet:
                path: /status
                port: http
              initialDelaySeconds: 10
    ---
    apiVersion: v1
    kind: Service
    metadata:
      name: crg
      namespace: mcp
    spec:
      selector:
        app: crg
      ports:
      - port: 8000
        targetPort: http
        name: http
    
    generated from the record, not tested yet
    # Generated by Hub for toolset "my-agent" (2026-10-18T12:34:17+00:00).
    # Credentials come from the Secret 'mcp-credentials' (kubectl create secret generic ... --from-env-file=.env).
    # Each server under `servers` is one Deployment + Service; the keys after it configure
    # upstream charts a worker verified.
    servers:
      crg:
        enabled: true
        replicas: 1
        port: 8000
        path: /mcp
        container:
          name: crg
          image: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
          ports:
          - containerPort: 8000
            name: http
          env:
          - name: EMBEDDING_MODELS
            valueFrom:
              secretKeyRef:
                name: mcp-credentials
                key: EMBEDDING_MODELS
          - name: LOCAL_EMBEDDING_MODEL
            valueFrom:
              secretKeyRef:
                name: mcp-credentials
                key: LOCAL_EMBEDDING_MODEL
          - name: LOCAL_RERANK_MODEL
            valueFrom:
              secretKeyRef:
                name: mcp-credentials
                key: LOCAL_RERANK_MODEL
          - name: LOCAL_EMBEDDING_DIM
            valueFrom:
              secretKeyRef:
                name: mcp-credentials
                key: LOCAL_EMBEDDING_DIM
          - name: LOCAL_EMBEDDING_MODEL_FILE
            valueFrom:
              secretKeyRef:
                name: mcp-credentials
                key: LOCAL_EMBEDDING_MODEL_FILE
          - name: LOCAL_EMBEDDING_POOLING
            valueFrom:
              secretKeyRef:
                name: mcp-credentials
                key: LOCAL_EMBEDDING_POOLING
          - name: LOCAL_EMBEDDING_NORMALIZE
            valueFrom:
              secretKeyRef:
                name: mcp-credentials
                key: LOCAL_EMBEDDING_NORMALIZE
          - name: HULL_EMBED_API_KEY
            valueFrom:
              secretKeyRef:
                name: mcp-credentials
                key: HULL_EMBED_API_KEY
          - name: HULL_CHAT_API_KEY
            valueFrom:
              secretKeyRef:
                name: mcp-credentials
                key: HULL_CHAT_API_KEY
          - name: EMBEDDING_BACKEND
            valueFrom:
              secretKeyRef:
                name: mcp-credentials
                key: EMBEDDING_BACKEND
          command:
          - sh
          - -c
          - uvx mcp-proxy --host 0.0.0.0 --port 8000 --pass-environment -- uvx better-code-review-graph==3.30.0
          readinessProbe:
            httpGet:
              path: /status
              port: http
            initialDelaySeconds: 10
    
    # helm install my-agent helm/my-agent -n mcp
    

    in the cloud

    one click: the provider's deploy form opens filled in, in your own account
    koyeb

    The form opens with CHANGE_ME for each value you supply: EMBEDDING_MODELS, LOCAL_EMBEDDING_MODEL, LOCAL_RERANK_MODEL, LOCAL_EMBEDDING_DIM, LOCAL_EMBEDDING_MODEL_FILE, LOCAL_EMBEDDING_POOLING, LOCAL_EMBEDDING_NORMALIZE, HULL_EMBED_API_KEY, HULL_CHAT_API_KEY, EMBEDDING_BACKEND. Fill them in before you deploy.

    Clients connect to the service's https://…koyeb.app address plus /mcp.

    azure

    A Container Apps environment with one app per server, each with HTTPS ingress and one replica. The portal asks for each value you supply as a secure parameter; the deployment's outputs list the endpoints.

    connect to it

    copy what your client needs
    uvx better-code-review-graph==3.30.0
    # env: EMBEDDING_MODELS, LOCAL_EMBEDDING_MODEL, LOCAL_RERANK_MODEL, LOCAL_EMBEDDING_DIM, LOCAL_EMBEDDING_MODEL_FILE, LOCAL_EMBEDDING_POOLING, LOCAL_EMBEDDING_NORMALIZE, HULL_EMBED_API_KEY, HULL_CHAT_API_KEY, EMBEDDING_BACKEND
    {
      "mcpServers": {
        "crg": {
          "command": "uvx",
          "args": [
            "better-code-review-graph==3.30.0"
          ],
          "env": {
            "EMBEDDING_MODELS": "${EMBEDDING_MODELS}",
            "LOCAL_EMBEDDING_MODEL": "${LOCAL_EMBEDDING_MODEL}",
            "LOCAL_RERANK_MODEL": "${LOCAL_RERANK_MODEL}",
            "LOCAL_EMBEDDING_DIM": "${LOCAL_EMBEDDING_DIM}",
            "LOCAL_EMBEDDING_MODEL_FILE": "${LOCAL_EMBEDDING_MODEL_FILE}",
            "LOCAL_EMBEDDING_POOLING": "${LOCAL_EMBEDDING_POOLING}",
            "LOCAL_EMBEDDING_NORMALIZE": "${LOCAL_EMBEDDING_NORMALIZE}",
            "HULL_EMBED_API_KEY": "${HULL_EMBED_API_KEY}",
            "HULL_CHAT_API_KEY": "${HULL_CHAT_API_KEY}",
            "EMBEDDING_BACKEND": "${EMBEDDING_BACKEND}"
          }
        }
      }
    }
    #!/usr/bin/env bash
    # Registers every server with Claude Code (run once; `claude mcp list` to check).
    set -euo pipefail
    set -a; [ -f .env ] && source .env; set +a
    claude mcp add crg -e "EMBEDDING_MODELS=${EMBEDDING_MODELS}" -e "LOCAL_EMBEDDING_MODEL=${LOCAL_EMBEDDING_MODEL}" -e "LOCAL_RERANK_MODEL=${LOCAL_RERANK_MODEL}" -e "LOCAL_EMBEDDING_DIM=${LOCAL_EMBEDDING_DIM}" -e "LOCAL_EMBEDDING_MODEL_FILE=${LOCAL_EMBEDDING_MODEL_FILE}" -e "LOCAL_EMBEDDING_POOLING=${LOCAL_EMBEDDING_POOLING}" -e "LOCAL_EMBEDDING_NORMALIZE=${LOCAL_EMBEDDING_NORMALIZE}" -e "HULL_EMBED_API_KEY=${HULL_EMBED_API_KEY}" -e "HULL_CHAT_API_KEY=${HULL_CHAT_API_KEY}" -e "EMBEDDING_BACKEND=${EMBEDDING_BACKEND}" -- uvx better-code-review-graph==3.30.0
    
    {
      "mcpServers": {
        "crg": {
          "command": "uvx",
          "args": [
            "better-code-review-graph==3.30.0"
          ],
          "env": {
            "EMBEDDING_MODELS": "${EMBEDDING_MODELS}",
            "LOCAL_EMBEDDING_MODEL": "${LOCAL_EMBEDDING_MODEL}",
            "LOCAL_RERANK_MODEL": "${LOCAL_RERANK_MODEL}",
            "LOCAL_EMBEDDING_DIM": "${LOCAL_EMBEDDING_DIM}",
            "LOCAL_EMBEDDING_MODEL_FILE": "${LOCAL_EMBEDDING_MODEL_FILE}",
            "LOCAL_EMBEDDING_POOLING": "${LOCAL_EMBEDDING_POOLING}",
            "LOCAL_EMBEDDING_NORMALIZE": "${LOCAL_EMBEDDING_NORMALIZE}",
            "HULL_EMBED_API_KEY": "${HULL_EMBED_API_KEY}",
            "HULL_CHAT_API_KEY": "${HULL_CHAT_API_KEY}",
            "EMBEDDING_BACKEND": "${EMBEDDING_BACKEND}"
          }
        }
      }
    }
    {
      "servers": {
        "crg": {
          "type": "stdio",
          "command": "uvx",
          "args": [
            "better-code-review-graph==3.30.0"
          ],
          "env": {
            "EMBEDDING_MODELS": "${EMBEDDING_MODELS}",
            "LOCAL_EMBEDDING_MODEL": "${LOCAL_EMBEDDING_MODEL}",
            "LOCAL_RERANK_MODEL": "${LOCAL_RERANK_MODEL}",
            "LOCAL_EMBEDDING_DIM": "${LOCAL_EMBEDDING_DIM}",
            "LOCAL_EMBEDDING_MODEL_FILE": "${LOCAL_EMBEDDING_MODEL_FILE}",
            "LOCAL_EMBEDDING_POOLING": "${LOCAL_EMBEDDING_POOLING}",
            "LOCAL_EMBEDDING_NORMALIZE": "${LOCAL_EMBEDDING_NORMALIZE}",
            "HULL_EMBED_API_KEY": "${HULL_EMBED_API_KEY}",
            "HULL_CHAT_API_KEY": "${HULL_CHAT_API_KEY}",
            "EMBEDDING_BACKEND": "${EMBEDDING_BACKEND}"
          }
        }
      }
    }
    name: my-agent
    target: local
    servers:
    - hub: io.github.n24q02m/crg
    
    • not probed yet: tools unpinned, ingest lists them

    tools

    Not probed yetThe tools appear once the hub or its worker has listed this entry. Running it still works: your client lists them on first start.