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    metabase-ai-assistant

    mcpkey · package
    io.github.enessari/metabase-ai-assistant · v3.2.0
    deploy just this

    MCP Server for Metabase - 111 tools for SQL generation, dashboards & PostgreSQL

    run it

    on your own machines, one way per deploy method
    generated from the record, not tested yet
    #!/usr/bin/env bash
# metabase-ai-assistant (io.github.enessari/metabase-ai-assistant), recipe baremetal (generated).
# Generated by Hub for toolset "my-agent"; started by mcp-my-agent-metabase-ai-assistant.service.
set -euo pipefail
export HOST=127.0.0.1 PORT=8101
exec npx -y supergateway@4 --stdio 'npx -y [email protected]' --outputTransport streamableHttp --stateful --host 127.0.0.1 --port 8101 --streamableHttpPath /mcp --healthEndpoint /healthz

[Unit]
Description=MCP server metabase-ai-assistant (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/metabase-ai-assistant
WorkingDirectory=/var/lib/mcp/metabase-ai-assistant
ExecStart=/opt/mcp/my-agent/bin/metabase-ai-assistant.sh
Restart=on-failure
RestartSec=5
NoNewPrivileges=true
ProtectSystem=strict
ProtectHome=true
PrivateTmp=true
ReadWritePaths=/var/lib/mcp/metabase-ai-assistant

[Install]
WantedBy=multi-user.target
    generated from the record, not tested yet
    docker run --rm -p 127.0.0.1:8101:8000 -e METABASE_URL -e METABASE_USERNAME -e METABASE_PASSWORD -e METABASE_API_KEY -e DATABASE_HOST -e DATABASE_PORT -e DATABASE_NAME -e DATABASE_USER -e DATABASE_PASSWORD node:22-alpine sh -c 'npx -y supergateway@4 --stdio '"'"'npx -y [email protected]'"'"' --outputTransport streamableHttp --stateful --host 0.0.0.0 --port 8000 --streamableHttpPath /mcp --healthEndpoint /healthz'
    generated from the record, not tested yet
    # Generated by Hub for toolset "my-agent" (2026-10-18T05:47:20+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:
  metabase-ai-assistant:
    image: node:22-alpine
    command:
    - sh
    - -c
    - npx -y supergateway@4 --stdio 'npx -y [email protected]' --outputTransport streamableHttp
      --stateful --host 0.0.0.0 --port 8000 --streamableHttpPath /mcp --healthEndpoint /healthz
    ports:
    - 127.0.0.1:8101:8000
    volumes:
    - npm-cache:/root/.npm
    healthcheck:
      test:
      - CMD-SHELL
      - wget -qO- http://127.0.0.1:8000/healthz || exit 1
      interval: 30s
      timeout: 5s
      retries: 5
      start_period: 2m
    restart: unless-stopped
    environment:
      METABASE_URL: ${METABASE_URL}
      METABASE_USERNAME: ${METABASE_USERNAME}
      METABASE_PASSWORD: ${METABASE_PASSWORD}
      METABASE_API_KEY: ${METABASE_API_KEY}
      DATABASE_HOST: ${DATABASE_HOST}
      DATABASE_PORT: ${DATABASE_PORT}
      DATABASE_NAME: ${DATABASE_NAME}
      DATABASE_USER: ${DATABASE_USER}
      DATABASE_PASSWORD: ${DATABASE_PASSWORD}
volumes:
  npm-cache: {}
  uv-cache: {}
    generated from the record, not tested yet
    # Generated by Hub for toolset "my-agent" (2026-10-18T05:47:20+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: metabase-ai-assistant
  namespace: mcp
  labels: &id001
    app: metabase-ai-assistant
spec:
  replicas: 1
  selector:
    matchLabels: *id001
  template:
    metadata:
      labels: *id001
    spec:
      containers:
      - name: metabase-ai-assistant
        image: node:22-alpine
        ports:
        - containerPort: 8000
          name: http
        env:
        - name: METABASE_URL
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: METABASE_URL
        - name: METABASE_USERNAME
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: METABASE_USERNAME
        - name: METABASE_PASSWORD
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: METABASE_PASSWORD
        - name: METABASE_API_KEY
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: METABASE_API_KEY
        - name: DATABASE_HOST
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: DATABASE_HOST
        - name: DATABASE_PORT
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: DATABASE_PORT
        - name: DATABASE_NAME
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: DATABASE_NAME
        - name: DATABASE_USER
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: DATABASE_USER
        - name: DATABASE_PASSWORD
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: DATABASE_PASSWORD
        command:
        - sh
        - -c
        - npx -y supergateway@4 --stdio 'npx -y [email protected]' --outputTransport streamableHttp
          --stateful --host 0.0.0.0 --port 8000 --streamableHttpPath /mcp --healthEndpoint /healthz
        readinessProbe:
          httpGet:
            path: /healthz
            port: http
          initialDelaySeconds: 10
---
apiVersion: v1
kind: Service
metadata:
  name: metabase-ai-assistant
  namespace: mcp
spec:
  selector:
    app: metabase-ai-assistant
  ports:
  - port: 8000
    targetPort: http
    name: http
    generated from the record, not tested yet
    # Generated by Hub for toolset "my-agent" (2026-10-18T05:47:20+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:
  metabase-ai-assistant:
    enabled: true
    replicas: 1
    port: 8000
    path: /mcp
    container:
      name: metabase-ai-assistant
      image: node:22-alpine
      ports:
      - containerPort: 8000
        name: http
      env:
      - name: METABASE_URL
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: METABASE_URL
      - name: METABASE_USERNAME
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: METABASE_USERNAME
      - name: METABASE_PASSWORD
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: METABASE_PASSWORD
      - name: METABASE_API_KEY
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: METABASE_API_KEY
      - name: DATABASE_HOST
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: DATABASE_HOST
      - name: DATABASE_PORT
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: DATABASE_PORT
      - name: DATABASE_NAME
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: DATABASE_NAME
      - name: DATABASE_USER
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: DATABASE_USER
      - name: DATABASE_PASSWORD
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: DATABASE_PASSWORD
      command:
      - sh
      - -c
      - npx -y supergateway@4 --stdio 'npx -y [email protected]' --outputTransport streamableHttp
        --stateful --host 0.0.0.0 --port 8000 --streamableHttpPath /mcp --healthEndpoint /healthz
      readinessProbe:
        httpGet:
          path: /healthz
          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
    deploy to koyeb

    The form opens with CHANGE_ME for each value you supply: METABASE_URL, METABASE_USERNAME, METABASE_PASSWORD, METABASE_API_KEY, DATABASE_HOST, DATABASE_PORT, DATABASE_NAME, DATABASE_USER, DATABASE_PASSWORD. Fill them in before you deploy.

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

    azure
    deploy to azuretemplate

    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
    npx -y [email protected]
# env: METABASE_URL, METABASE_USERNAME, METABASE_PASSWORD, METABASE_API_KEY, DATABASE_HOST, DATABASE_PORT, DATABASE_NAME, DATABASE_USER, DATABASE_PASSWORD
    {
  "mcpServers": {
    "metabase-ai-assistant": {
      "command": "npx",
      "args": [
        "-y",
        "[email protected]"
      ],
      "env": {
        "METABASE_URL": "${METABASE_URL}",
        "METABASE_USERNAME": "${METABASE_USERNAME}",
        "METABASE_PASSWORD": "${METABASE_PASSWORD}",
        "METABASE_API_KEY": "${METABASE_API_KEY}",
        "DATABASE_HOST": "${DATABASE_HOST}",
        "DATABASE_PORT": "${DATABASE_PORT}",
        "DATABASE_NAME": "${DATABASE_NAME}",
        "DATABASE_USER": "${DATABASE_USER}",
        "DATABASE_PASSWORD": "${DATABASE_PASSWORD}"
      }
    }
  }
}
    #!/usr/bin/env bash
# Registers every server with Claude Code (run once; `claude mcp list` to check).
set -euo pipefail
set -a; [ -f .env ] && source .env; set +a
claude mcp add metabase-ai-assistant -e "METABASE_URL=${METABASE_URL}" -e "METABASE_USERNAME=${METABASE_USERNAME}" -e "METABASE_PASSWORD=${METABASE_PASSWORD}" -e "METABASE_API_KEY=${METABASE_API_KEY}" -e "DATABASE_HOST=${DATABASE_HOST}" -e "DATABASE_PORT=${DATABASE_PORT}" -e "DATABASE_NAME=${DATABASE_NAME}" -e "DATABASE_USER=${DATABASE_USER}" -e "DATABASE_PASSWORD=${DATABASE_PASSWORD}" -- npx -y [email protected]

    {
  "mcpServers": {
    "metabase-ai-assistant": {
      "command": "npx",
      "args": [
        "-y",
        "[email protected]"
      ],
      "env": {
        "METABASE_URL": "${METABASE_URL}",
        "METABASE_USERNAME": "${METABASE_USERNAME}",
        "METABASE_PASSWORD": "${METABASE_PASSWORD}",
        "METABASE_API_KEY": "${METABASE_API_KEY}",
        "DATABASE_HOST": "${DATABASE_HOST}",
        "DATABASE_PORT": "${DATABASE_PORT}",
        "DATABASE_NAME": "${DATABASE_NAME}",
        "DATABASE_USER": "${DATABASE_USER}",
        "DATABASE_PASSWORD": "${DATABASE_PASSWORD}"
      }
    }
  }
}
    {
  "servers": {
    "metabase-ai-assistant": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "[email protected]"
      ],
      "env": {
        "METABASE_URL": "${METABASE_URL}",
        "METABASE_USERNAME": "${METABASE_USERNAME}",
        "METABASE_PASSWORD": "${METABASE_PASSWORD}",
        "METABASE_API_KEY": "${METABASE_API_KEY}",
        "DATABASE_HOST": "${DATABASE_HOST}",
        "DATABASE_PORT": "${DATABASE_PORT}",
        "DATABASE_NAME": "${DATABASE_NAME}",
        "DATABASE_USER": "${DATABASE_USER}",
        "DATABASE_PASSWORD": "${DATABASE_PASSWORD}"
      }
    }
  }
}
    name: my-agent
target: local
servers:
- hub: io.github.enessari/metabase-ai-assistant
    • 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.