SEO Performance MCP
mcpkey · packageio.github.AutomateLab-tech/seo-performance-mcp · v1.0.0
Per-URL SEO verdicts from GSC, GA4, Matomo, Clarity, AI citations: refresh/expand/merge/kill.
run it
on your own machines, one way per deploy methodgenerated from the record, not tested yet
#!/usr/bin/env bash # seo-performance (io.github.AutomateLab-tech/seo-performance-mcp), recipe baremetal (generated). # Generated by Hub for toolset "my-agent"; started by mcp-my-agent-seo-performance.service. set -euo pipefail export HOST=127.0.0.1 PORT=8101 exec npx -y supergateway@4 --stdio 'npx -y @automatelab/[email protected]' --outputTransport streamableHttp --stateful --host 127.0.0.1 --port 8101 --streamableHttpPath /mcp --healthEndpoint /healthz [Unit] Description=MCP server seo-performance (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/seo-performance WorkingDirectory=/var/lib/mcp/seo-performance ExecStart=/opt/mcp/my-agent/bin/seo-performance.sh Restart=on-failure RestartSec=5 NoNewPrivileges=true ProtectSystem=strict ProtectHome=true PrivateTmp=true ReadWritePaths=/var/lib/mcp/seo-performance [Install] WantedBy=multi-user.target
generated from the record, not tested yet
docker run --rm -p 127.0.0.1:8101:8000 -e GSC_SERVICE_ACCOUNT_JSON -e GSC_SITE_URL -e MATOMO_URL -e MATOMO_TOKEN -e MATOMO_SITE_ID -e GA4_PROPERTY_ID -e GA4_SERVICE_ACCOUNT_JSON -e CLARITY_PROJECT_ID -e CLARITY_API_TOKEN -e POSTS_SITEMAP_URL -e POSTS_LIST -e GHOST_ADMIN_API_URL -e GHOST_ADMIN_API_KEY -e CITATION_INTELLIGENCE_URL node:22-alpine sh -c 'npx -y supergateway@4 --stdio '"'"'npx -y @automatelab/[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" (2026-10-17T23:23:27+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:
seo-performance:
image: node:22-alpine
command:
- sh
- -c
- npx -y supergateway@4 --stdio 'npx -y @automatelab/[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:
GSC_SERVICE_ACCOUNT_JSON: ${GSC_SERVICE_ACCOUNT_JSON}
GSC_SITE_URL: ${GSC_SITE_URL}
MATOMO_URL: ${MATOMO_URL}
MATOMO_TOKEN: ${MATOMO_TOKEN}
MATOMO_SITE_ID: ${MATOMO_SITE_ID}
GA4_PROPERTY_ID: ${GA4_PROPERTY_ID}
GA4_SERVICE_ACCOUNT_JSON: ${GA4_SERVICE_ACCOUNT_JSON}
CLARITY_PROJECT_ID: ${CLARITY_PROJECT_ID}
CLARITY_API_TOKEN: ${CLARITY_API_TOKEN}
POSTS_SITEMAP_URL: ${POSTS_SITEMAP_URL}
POSTS_LIST: ${POSTS_LIST}
GHOST_ADMIN_API_URL: ${GHOST_ADMIN_API_URL}
GHOST_ADMIN_API_KEY: ${GHOST_ADMIN_API_KEY}
CITATION_INTELLIGENCE_URL: ${CITATION_INTELLIGENCE_URL}
volumes:
npm-cache: {}
uv-cache: {}
generated from the record, not tested yet
# Generated by Hub for toolset "my-agent" (2026-10-17T23:23:27+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: seo-performance
namespace: mcp
labels: &id001
app: seo-performance
spec:
replicas: 1
selector:
matchLabels: *id001
template:
metadata:
labels: *id001
spec:
containers:
- name: seo-performance
image: node:22-alpine
ports:
- containerPort: 8000
name: http
env:
- name: GSC_SERVICE_ACCOUNT_JSON
valueFrom:
secretKeyRef:
name: mcp-credentials
key: GSC_SERVICE_ACCOUNT_JSON
- name: GSC_SITE_URL
valueFrom:
secretKeyRef:
name: mcp-credentials
key: GSC_SITE_URL
- name: MATOMO_URL
valueFrom:
secretKeyRef:
name: mcp-credentials
key: MATOMO_URL
- name: MATOMO_TOKEN
valueFrom:
secretKeyRef:
name: mcp-credentials
key: MATOMO_TOKEN
- name: MATOMO_SITE_ID
valueFrom:
secretKeyRef:
name: mcp-credentials
key: MATOMO_SITE_ID
- name: GA4_PROPERTY_ID
valueFrom:
secretKeyRef:
name: mcp-credentials
key: GA4_PROPERTY_ID
- name: GA4_SERVICE_ACCOUNT_JSON
valueFrom:
secretKeyRef:
name: mcp-credentials
key: GA4_SERVICE_ACCOUNT_JSON
- name: CLARITY_PROJECT_ID
valueFrom:
secretKeyRef:
name: mcp-credentials
key: CLARITY_PROJECT_ID
- name: CLARITY_API_TOKEN
valueFrom:
secretKeyRef:
name: mcp-credentials
key: CLARITY_API_TOKEN
- name: POSTS_SITEMAP_URL
valueFrom:
secretKeyRef:
name: mcp-credentials
key: POSTS_SITEMAP_URL
- name: POSTS_LIST
valueFrom:
secretKeyRef:
name: mcp-credentials
key: POSTS_LIST
- name: GHOST_ADMIN_API_URL
valueFrom:
secretKeyRef:
name: mcp-credentials
key: GHOST_ADMIN_API_URL
- name: GHOST_ADMIN_API_KEY
valueFrom:
secretKeyRef:
name: mcp-credentials
key: GHOST_ADMIN_API_KEY
- name: CITATION_INTELLIGENCE_URL
valueFrom:
secretKeyRef:
name: mcp-credentials
key: CITATION_INTELLIGENCE_URL
command:
- sh
- -c
- npx -y supergateway@4 --stdio 'npx -y @automatelab/[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: seo-performance
namespace: mcp
spec:
selector:
app: seo-performance
ports:
- port: 8000
targetPort: http
name: http
generated from the record, not tested yet
# Generated by Hub for toolset "my-agent" (2026-10-17T23:23:27+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:
seo-performance:
enabled: true
replicas: 1
port: 8000
path: /mcp
container:
name: seo-performance
image: node:22-alpine
ports:
- containerPort: 8000
name: http
env:
- name: GSC_SERVICE_ACCOUNT_JSON
valueFrom:
secretKeyRef:
name: mcp-credentials
key: GSC_SERVICE_ACCOUNT_JSON
- name: GSC_SITE_URL
valueFrom:
secretKeyRef:
name: mcp-credentials
key: GSC_SITE_URL
- name: MATOMO_URL
valueFrom:
secretKeyRef:
name: mcp-credentials
key: MATOMO_URL
- name: MATOMO_TOKEN
valueFrom:
secretKeyRef:
name: mcp-credentials
key: MATOMO_TOKEN
- name: MATOMO_SITE_ID
valueFrom:
secretKeyRef:
name: mcp-credentials
key: MATOMO_SITE_ID
- name: GA4_PROPERTY_ID
valueFrom:
secretKeyRef:
name: mcp-credentials
key: GA4_PROPERTY_ID
- name: GA4_SERVICE_ACCOUNT_JSON
valueFrom:
secretKeyRef:
name: mcp-credentials
key: GA4_SERVICE_ACCOUNT_JSON
- name: CLARITY_PROJECT_ID
valueFrom:
secretKeyRef:
name: mcp-credentials
key: CLARITY_PROJECT_ID
- name: CLARITY_API_TOKEN
valueFrom:
secretKeyRef:
name: mcp-credentials
key: CLARITY_API_TOKEN
- name: POSTS_SITEMAP_URL
valueFrom:
secretKeyRef:
name: mcp-credentials
key: POSTS_SITEMAP_URL
- name: POSTS_LIST
valueFrom:
secretKeyRef:
name: mcp-credentials
key: POSTS_LIST
- name: GHOST_ADMIN_API_URL
valueFrom:
secretKeyRef:
name: mcp-credentials
key: GHOST_ADMIN_API_URL
- name: GHOST_ADMIN_API_KEY
valueFrom:
secretKeyRef:
name: mcp-credentials
key: GHOST_ADMIN_API_KEY
- name: CITATION_INTELLIGENCE_URL
valueFrom:
secretKeyRef:
name: mcp-credentials
key: CITATION_INTELLIGENCE_URL
command:
- sh
- -c
- npx -y supergateway@4 --stdio 'npx -y @automatelab/[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
-
The form opens with CHANGE_ME for each value you supply: GSC_SERVICE_ACCOUNT_JSON, GSC_SITE_URL, MATOMO_URL, MATOMO_TOKEN, MATOMO_SITE_ID, GA4_PROPERTY_ID, GA4_SERVICE_ACCOUNT_JSON, CLARITY_PROJECT_ID, CLARITY_API_TOKEN, POSTS_SITEMAP_URL, POSTS_LIST, GHOST_ADMIN_API_URL, GHOST_ADMIN_API_KEY, CITATION_INTELLIGENCE_URL. 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 needsnpx -y @automatelab/[email protected] # env: GSC_SERVICE_ACCOUNT_JSON, GSC_SITE_URL, MATOMO_URL, MATOMO_TOKEN, MATOMO_SITE_ID, GA4_PROPERTY_ID, GA4_SERVICE_ACCOUNT_JSON, CLARITY_PROJECT_ID, CLARITY_API_TOKEN, POSTS_SITEMAP_URL, POSTS_LIST, GHOST_ADMIN_API_URL, GHOST_ADMIN_API_KEY, CITATION_INTELLIGENCE_URL
{
"mcpServers": {
"seo-performance": {
"command": "npx",
"args": [
"-y",
"@automatelab/[email protected]"
],
"env": {
"GSC_SERVICE_ACCOUNT_JSON": "${GSC_SERVICE_ACCOUNT_JSON}",
"GSC_SITE_URL": "${GSC_SITE_URL}",
"MATOMO_URL": "${MATOMO_URL}",
"MATOMO_TOKEN": "${MATOMO_TOKEN}",
"MATOMO_SITE_ID": "${MATOMO_SITE_ID}",
"GA4_PROPERTY_ID": "${GA4_PROPERTY_ID}",
"GA4_SERVICE_ACCOUNT_JSON": "${GA4_SERVICE_ACCOUNT_JSON}",
"CLARITY_PROJECT_ID": "${CLARITY_PROJECT_ID}",
"CLARITY_API_TOKEN": "${CLARITY_API_TOKEN}",
"POSTS_SITEMAP_URL": "${POSTS_SITEMAP_URL}",
"POSTS_LIST": "${POSTS_LIST}",
"GHOST_ADMIN_API_URL": "${GHOST_ADMIN_API_URL}",
"GHOST_ADMIN_API_KEY": "${GHOST_ADMIN_API_KEY}",
"CITATION_INTELLIGENCE_URL": "${CITATION_INTELLIGENCE_URL}"
}
}
}
}
#!/usr/bin/env bash
# Registers every server with Claude Code (run once; `claude mcp list` to check).
set -euo pipefail
set -a; [ -f .env ] && source .env; set +a
claude mcp add seo-performance -e "GSC_SERVICE_ACCOUNT_JSON=${GSC_SERVICE_ACCOUNT_JSON}" -e "GSC_SITE_URL=${GSC_SITE_URL}" -e "MATOMO_URL=${MATOMO_URL}" -e "MATOMO_TOKEN=${MATOMO_TOKEN}" -e "MATOMO_SITE_ID=${MATOMO_SITE_ID}" -e "GA4_PROPERTY_ID=${GA4_PROPERTY_ID}" -e "GA4_SERVICE_ACCOUNT_JSON=${GA4_SERVICE_ACCOUNT_JSON}" -e "CLARITY_PROJECT_ID=${CLARITY_PROJECT_ID}" -e "CLARITY_API_TOKEN=${CLARITY_API_TOKEN}" -e "POSTS_SITEMAP_URL=${POSTS_SITEMAP_URL}" -e "POSTS_LIST=${POSTS_LIST}" -e "GHOST_ADMIN_API_URL=${GHOST_ADMIN_API_URL}" -e "GHOST_ADMIN_API_KEY=${GHOST_ADMIN_API_KEY}" -e "CITATION_INTELLIGENCE_URL=${CITATION_INTELLIGENCE_URL}" -- npx -y @automatelab/[email protected]
{
"mcpServers": {
"seo-performance": {
"command": "npx",
"args": [
"-y",
"@automatelab/[email protected]"
],
"env": {
"GSC_SERVICE_ACCOUNT_JSON": "${GSC_SERVICE_ACCOUNT_JSON}",
"GSC_SITE_URL": "${GSC_SITE_URL}",
"MATOMO_URL": "${MATOMO_URL}",
"MATOMO_TOKEN": "${MATOMO_TOKEN}",
"MATOMO_SITE_ID": "${MATOMO_SITE_ID}",
"GA4_PROPERTY_ID": "${GA4_PROPERTY_ID}",
"GA4_SERVICE_ACCOUNT_JSON": "${GA4_SERVICE_ACCOUNT_JSON}",
"CLARITY_PROJECT_ID": "${CLARITY_PROJECT_ID}",
"CLARITY_API_TOKEN": "${CLARITY_API_TOKEN}",
"POSTS_SITEMAP_URL": "${POSTS_SITEMAP_URL}",
"POSTS_LIST": "${POSTS_LIST}",
"GHOST_ADMIN_API_URL": "${GHOST_ADMIN_API_URL}",
"GHOST_ADMIN_API_KEY": "${GHOST_ADMIN_API_KEY}",
"CITATION_INTELLIGENCE_URL": "${CITATION_INTELLIGENCE_URL}"
}
}
}
}
{
"servers": {
"seo-performance": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@automatelab/[email protected]"
],
"env": {
"GSC_SERVICE_ACCOUNT_JSON": "${GSC_SERVICE_ACCOUNT_JSON}",
"GSC_SITE_URL": "${GSC_SITE_URL}",
"MATOMO_URL": "${MATOMO_URL}",
"MATOMO_TOKEN": "${MATOMO_TOKEN}",
"MATOMO_SITE_ID": "${MATOMO_SITE_ID}",
"GA4_PROPERTY_ID": "${GA4_PROPERTY_ID}",
"GA4_SERVICE_ACCOUNT_JSON": "${GA4_SERVICE_ACCOUNT_JSON}",
"CLARITY_PROJECT_ID": "${CLARITY_PROJECT_ID}",
"CLARITY_API_TOKEN": "${CLARITY_API_TOKEN}",
"POSTS_SITEMAP_URL": "${POSTS_SITEMAP_URL}",
"POSTS_LIST": "${POSTS_LIST}",
"GHOST_ADMIN_API_URL": "${GHOST_ADMIN_API_URL}",
"GHOST_ADMIN_API_KEY": "${GHOST_ADMIN_API_KEY}",
"CITATION_INTELLIGENCE_URL": "${CITATION_INTELLIGENCE_URL}"
}
}
}
}
name: my-agent target: local servers: - hub: io.github.AutomateLab-tech/seo-performance-mcp
- 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.