x=hub

your toolset

    build deployment
    sign in

    google-analytics

    mcpother
    io.github.codeChap/google-analytics · v0.1.0
    deploy just this

    MCP server for Google Analytics 4 — reports, realtime data, and admin

    run it

    on your own machines, one way per deploy method
    generated from the record, not tested yet
    CHANGE_ME: built from the repository's Dockerfile, assuming it serves streamable HTTP at :8000/mcp. Nothing has run this yet; the worker replaces it with a tested recipe.
    # once, as root:
docker build -t mcp-local/google-analytics:latest https://github.com/codechap/mcp-server-google-analytics.git

#!/usr/bin/env bash
# google-analytics (io.github.codeChap/google-analytics), recipe docker (generated).
# Generated by Hub for toolset "my-agent"; started by mcp-my-agent-google-analytics.service.
set -euo pipefail
export HOST=127.0.0.1 PORT=8101
exec docker run --rm --name mcp-my-agent-google-analytics -p 127.0.0.1:${PORT}:8000 --env-file /etc/mcp/my-agent.env mcp-local/google-analytics:latest

[Unit]
Description=MCP server google-analytics (toolset my-agent), generated by Hub
After=network-online.target docker.service
Wants=network-online.target

[Service]
Type=simple
User=mcp
Group=mcp
SupplementaryGroups=docker
EnvironmentFile=/etc/mcp/my-agent.env
Environment=HOME=/var/lib/mcp/google-analytics
WorkingDirectory=/var/lib/mcp/google-analytics
ExecStart=/opt/mcp/my-agent/bin/google-analytics.sh
Restart=on-failure
RestartSec=5
NoNewPrivileges=true
ProtectSystem=strict
ProtectHome=true
PrivateTmp=true
ReadWritePaths=/var/lib/mcp/google-analytics

[Install]
WantedBy=multi-user.target
    generated from the record, not tested yet
    CHANGE_ME: built from the repository's Dockerfile, assuming it serves streamable HTTP at :8000/mcp. Nothing has run this yet; the worker replaces it with a tested recipe.
    docker build -t google-analytics https://github.com/codechap/mcp-server-google-analytics.git
docker run --rm -p 127.0.0.1:8101:8000 google-analytics
    generated from the record, not tested yet
    CHANGE_ME: built from the repository's Dockerfile, assuming it serves streamable HTTP at :8000/mcp. Nothing has run this yet; the worker replaces it with a tested recipe.
    # Generated by Hub for toolset "my-agent" (2026-10-17T23:16:37+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:
  google-analytics:
    build:
      context: https://github.com/codechap/mcp-server-google-analytics.git
    ports:
    - 127.0.0.1:8101:8000
    restart: unless-stopped
    x-note: 'CHANGE_ME: built from the repository''s Dockerfile, assuming it serves streamable HTTP at
      :8000/mcp. Nothing has run this yet; the worker replaces it with a tested recipe.'
volumes:
  npm-cache: {}
  uv-cache: {}
    generated from the record, not tested yet
    CHANGE_ME: built from the repository's Dockerfile, assuming it serves streamable HTTP at :8000/mcp. Nothing has run this yet; the worker replaces it with a tested recipe.
    # Generated by Hub for toolset "my-agent" (2026-10-17T23:16:37+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: google-analytics
  namespace: mcp
  labels: &id001
    app: google-analytics
spec:
  replicas: 1
  selector:
    matchLabels: *id001
  template:
    metadata:
      labels: *id001
    spec:
      containers:
      - name: google-analytics
        image: CHANGE_ME
        ports:
        - containerPort: 8000
          name: http
        env: []
---
apiVersion: v1
kind: Service
metadata:
  name: google-analytics
  namespace: mcp
spec:
  selector:
    app: google-analytics
  ports:
  - port: 8000
    targetPort: http
    name: http
    generated from the record, not tested yet
    CHANGE_ME: built from the repository's Dockerfile, assuming it serves streamable HTTP at :8000/mcp. Nothing has run this yet; the worker replaces it with a tested recipe.
    # Generated by Hub for toolset "my-agent" (2026-10-17T23:16:37+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:
  google-analytics:
    enabled: true
    replicas: 1
    port: 8000
    path: /mcp
    container:
      name: google-analytics
      image: CHANGE_ME
      ports:
      - containerPort: 8000
        name: http
      env: []

# 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
    deploy to koyeb

    Koyeb builds the repository's Dockerfile from branch main; change the branch in the form if the default one has another name.

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

    cloud run
    run on google cloud

    Cloud Shell clones the repository, builds its Dockerfile and deploys it to Cloud Run.

    Cloud Run sends requests to $PORT (8080); the recipe expects :8000, so the server has to read PORT, or set the container port on the service afterwards.

    connect to it

    copy what your client needs
    {
  "mcpServers": {
    "google-analytics": {
      "command": "CHANGE_ME",
      "args": []
    }
  }
}
    #!/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 google-analytics -- CHANGE_ME

    {
  "mcpServers": {
    "google-analytics": {
      "command": "CHANGE_ME",
      "args": []
    }
  }
}
    {
  "servers": {
    "google-analytics": {
      "type": "stdio",
      "command": "CHANGE_ME",
      "args": []
    }
  }
}
    name: my-agent
target: local
servers:
- hub: io.github.codeChap/google-analytics
    • not probed yet: tools unpinned, ingest lists them
    • no recipe for target 'local': fill the files by hand

    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.