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    servicenow-mcp-ai

    mcpkey · package
    io.github.LeassTaTT/servicenow-mcp-ai · v2.0.0
    deploy just this

    ServiceNow MCP server — 67 tools over the full REST surface, every auth method, flows, diagrams.

    run it

    on your own machines, one way per deploy method
    generated from the record, not tested yet
    # once, as root:
# as_mcp DIR COMMAND...: runs COMMAND as the mcp user in DIR, its home, sandboxed as the
# units are: a package's install scripts can write to DIR only, as the server later can
as_mcp() {
  local dir="$1"; shift
  systemd-run --quiet --wait --pipe --collect --uid=mcp --gid=mcp \
    -p WorkingDirectory="$dir" -p Environment=HOME="$dir" -p ReadWritePaths="$dir" \
    -p NoNewPrivileges=true -p ProtectSystem=strict -p ProtectHome=true -p PrivateTmp=true \
    -- "$@" </dev/null
}
install -d -m 0750 -o mcp -g mcp /var/lib/mcp/servicenow-mcp-ai
# servicenow-mcp-ai: its packages, installed whole before its unit starts (no session installs)
# npx takes a half-installed tree for installed: a rerun starts them afresh
systemctl stop mcp-my-agent-servicenow-mcp-ai.service 2>/dev/null || true
as_mcp /var/lib/mcp/servicenow-mcp-ai rm -rf /var/lib/mcp/servicenow-mcp-ai/.npm/_npx
as_mcp /var/lib/mcp/servicenow-mcp-ai npx --yes [email protected] -- true
as_mcp /var/lib/mcp/servicenow-mcp-ai npx --yes --package=supergateway@4 -- true

#!/usr/bin/env bash
# servicenow-mcp-ai (io.github.LeassTaTT/servicenow-mcp-ai), recipe baremetal (generated).
# Generated by Hub for toolset "my-agent"; started by mcp-my-agent-servicenow-mcp-ai.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 servicenow-mcp-ai (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/servicenow-mcp-ai
WorkingDirectory=/var/lib/mcp/servicenow-mcp-ai
ExecStart=/opt/mcp/my-agent/bin/servicenow-mcp-ai.sh
Restart=on-failure
RestartSec=5
NoNewPrivileges=true
ProtectSystem=strict
ProtectHome=true
PrivateTmp=true
ReadWritePaths=/var/lib/mcp/servicenow-mcp-ai

[Install]
WantedBy=multi-user.target
    generated from the record, not tested yet
    docker run --rm -p 127.0.0.1:8101:8000 -e SN_INSTANCE -e SN_AUTH -e SN_USER -e SN_PASSWORD -e SN_API_KEY -e SN_TOOL_PACKAGES 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" (2026-10-18T22:14:40+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:
  servicenow-mcp-ai:
    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:
      SN_INSTANCE: ${SN_INSTANCE}
      SN_AUTH: ${SN_AUTH}
      SN_USER: ${SN_USER}
      SN_PASSWORD: ${SN_PASSWORD}
      SN_API_KEY: ${SN_API_KEY}
      SN_TOOL_PACKAGES: ${SN_TOOL_PACKAGES}
volumes:
  npm-cache: {}
  uv-cache: {}
    generated from the record, not tested yet
    # Generated by Hub for toolset "my-agent" (2026-10-18T22:14:40+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: servicenow-mcp-ai
  namespace: mcp
  labels: &id001
    app: servicenow-mcp-ai
spec:
  replicas: 1
  selector:
    matchLabels: *id001
  template:
    metadata:
      labels: *id001
    spec:
      containers:
      - name: servicenow-mcp-ai
        image: node:22-alpine
        ports:
        - containerPort: 8000
          name: http
        env:
        - name: SN_INSTANCE
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: SN_INSTANCE
        - name: SN_AUTH
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: SN_AUTH
        - name: SN_USER
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: SN_USER
        - name: SN_PASSWORD
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: SN_PASSWORD
        - name: SN_API_KEY
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: SN_API_KEY
        - name: SN_TOOL_PACKAGES
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: SN_TOOL_PACKAGES
        args:
        - 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: servicenow-mcp-ai
  namespace: mcp
spec:
  selector:
    app: servicenow-mcp-ai
  ports:
  - port: 8000
    targetPort: http
    name: http
    generated from the record, not tested yet
    # Generated by Hub for toolset "my-agent" (2026-10-18T22:14:40+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:
  servicenow-mcp-ai:
    enabled: true
    replicas: 1
    port: 8000
    path: /mcp
    container:
      name: servicenow-mcp-ai
      image: node:22-alpine
      ports:
      - containerPort: 8000
        name: http
      env:
      - name: SN_INSTANCE
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: SN_INSTANCE
      - name: SN_AUTH
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: SN_AUTH
      - name: SN_USER
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: SN_USER
      - name: SN_PASSWORD
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: SN_PASSWORD
      - name: SN_API_KEY
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: SN_API_KEY
      - name: SN_TOOL_PACKAGES
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: SN_TOOL_PACKAGES
      args:
      - 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: SN_INSTANCE, SN_AUTH, SN_USER, SN_PASSWORD, SN_API_KEY, SN_TOOL_PACKAGES. 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: SN_INSTANCE, SN_AUTH, SN_USER, SN_PASSWORD, SN_API_KEY, SN_TOOL_PACKAGES
    {
  "mcpServers": {
    "servicenow-mcp-ai": {
      "command": "npx",
      "args": [
        "-y",
        "[email protected]"
      ],
      "env": {
        "SN_INSTANCE": "${SN_INSTANCE}",
        "SN_AUTH": "${SN_AUTH}",
        "SN_USER": "${SN_USER}",
        "SN_PASSWORD": "${SN_PASSWORD}",
        "SN_API_KEY": "${SN_API_KEY}",
        "SN_TOOL_PACKAGES": "${SN_TOOL_PACKAGES}"
      }
    }
  }
}
    #!/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 servicenow-mcp-ai -e "SN_INSTANCE=${SN_INSTANCE}" -e "SN_AUTH=${SN_AUTH}" -e "SN_USER=${SN_USER}" -e "SN_PASSWORD=${SN_PASSWORD}" -e "SN_API_KEY=${SN_API_KEY}" -e "SN_TOOL_PACKAGES=${SN_TOOL_PACKAGES}" -- npx -y [email protected]

    {
  "mcpServers": {
    "servicenow-mcp-ai": {
      "command": "npx",
      "args": [
        "-y",
        "[email protected]"
      ],
      "env": {
        "SN_INSTANCE": "${SN_INSTANCE}",
        "SN_AUTH": "${SN_AUTH}",
        "SN_USER": "${SN_USER}",
        "SN_PASSWORD": "${SN_PASSWORD}",
        "SN_API_KEY": "${SN_API_KEY}",
        "SN_TOOL_PACKAGES": "${SN_TOOL_PACKAGES}"
      }
    }
  }
}
    {
  "servers": {
    "servicenow-mcp-ai": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "[email protected]"
      ],
      "env": {
        "SN_INSTANCE": "${SN_INSTANCE}",
        "SN_AUTH": "${SN_AUTH}",
        "SN_USER": "${SN_USER}",
        "SN_PASSWORD": "${SN_PASSWORD}",
        "SN_API_KEY": "${SN_API_KEY}",
        "SN_TOOL_PACKAGES": "${SN_TOOL_PACKAGES}"
      }
    }
  }
}
    name: my-agent
target: local
servers:
- hub: io.github.LeassTaTT/servicenow-mcp-ai
    • 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.