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Author SHA1 Message Date
github-actions[bot] af96378cb6 bump: version 0.28.0 → 0.29.0 2025-11-09 08:29:53 +00:00
Chris Coutinho c5da11aa4c Merge pull request #274 from cbcoutinho/feature/observability-monitoring
feature/observability monitoring
2025-11-09 09:29:25 +01:00
Chris Coutinho 5e4667a643 fix(readiness): Only check external Qdrant in network mode
The readiness probe incorrectly tried to connect to an external Qdrant service
even when using memory or persistent mode (embedded Qdrant). This caused pods
to never become ready in Kubernetes deployments using the default configuration.

Root cause:
- In memory/persistent modes, QDRANT_URL env var is NOT set
- Readiness check used default 'http://qdrant:6333' anyway
- Tried to connect to non-existent service
- Connection failed -> 503 -> pod stuck in not-ready state

Fix:
- Only check external Qdrant health if QDRANT_URL is explicitly set (network mode)
- For embedded modes (memory/persistent), report status as 'embedded' without blocking
- Background scanner tasks don't block readiness (already non-blocking via anyio.start_soon)

This allows pods to become ready immediately when using embedded Qdrant,
while still validating external Qdrant connectivity in network mode.

Fixes: Kubernetes pods failing readiness check with default Qdrant configuration

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-09 09:28:09 +01:00
Chris Coutinho 093ac5b5ba feat(helm): Add observability support with ServiceMonitor and Grafana dashboard
Add comprehensive observability configuration to Helm chart:

**Helm Values:**
- Add observability configuration section for metrics, tracing, and logging
- Add serviceMonitor configuration (disabled by default)
- Add prometheusRule configuration (disabled by default)

**Templates:**
- Update deployment to include observability environment variables
- Update deployment to expose metrics port (9090)
- Update service to expose metrics port
- Add ServiceMonitor template for Prometheus Operator
- Add PrometheusRule template with critical and warning alerts

**Dashboards:**
- Add comprehensive Grafana dashboard JSON with 6 panels:
  - Request Rate (by method and endpoint)
  - Error Rate (5xx errors percentage)
  - Request Latency (P50/P95 by endpoint)
  - Top MCP Tools (by invocation volume)
  - Nextcloud API Latency (by app)
  - Vector Sync Queue Size
- Add dashboard README with import instructions

**Alert Rules:**
- Critical: Server down, high error rate (>5%), high latency (>1s), dependency down
- Warning: Token validation errors (>1%), vector sync queue high (>100), Qdrant slow (>500ms)

All features are opt-in via values.yaml configuration.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-09 09:10:11 +01:00
12 changed files with 935 additions and 7 deletions
+10
View File
@@ -1,3 +1,13 @@
## v0.29.0 (2025-11-09)
### Feat
- **helm**: Add observability support with ServiceMonitor and Grafana dashboard
### Fix
- **readiness**: Only check external Qdrant in network mode
## v0.28.0 (2025-11-09)
### Feat
+2 -2
View File
@@ -2,8 +2,8 @@ apiVersion: v2
name: nextcloud-mcp-server
description: A Helm chart for Nextcloud MCP Server - enables AI assistants to interact with Nextcloud
type: application
version: 0.28.0
appVersion: "0.28.0"
version: 0.29.0
appVersion: "0.29.0"
keywords:
- nextcloud
- mcp
@@ -0,0 +1,90 @@
# Grafana Dashboards
This directory contains example Grafana dashboards for monitoring the Nextcloud MCP Server.
## Dashboards
### nextcloud-mcp-server.json
Comprehensive dashboard with the following panels:
- **Request Rate**: HTTP requests per second by method and endpoint
- **Error Rate**: Percentage of 5xx errors
- **Request Latency**: P50 and P95 latency by endpoint
- **Top MCP Tools**: Most frequently called tools
- **Nextcloud API Latency**: API call latency by app (notes, calendar, etc.)
- **Vector Sync Queue**: Queue size for background document processing
## Importing to Grafana
### Manual Import
1. Open Grafana UI
2. Navigate to Dashboards → Import
3. Upload `nextcloud-mcp-server.json`
4. Select your Prometheus data source
5. Click "Import"
### Automated Import (Kubernetes)
If using the Grafana Operator or kube-prometheus-stack, you can create a ConfigMap:
```bash
kubectl create configmap nextcloud-mcp-dashboards \
--from-file=nextcloud-mcp-server.json \
-n monitoring
# Add label for Grafana sidecar to discover
kubectl label configmap nextcloud-mcp-dashboards \
grafana_dashboard=1 \
-n monitoring
```
Or add to your Helm values:
```yaml
# values.yaml for kube-prometheus-stack
grafana:
dashboardProviders:
dashboardproviders.yaml:
apiVersion: 1
providers:
- name: 'nextcloud-mcp'
orgId: 1
folder: 'Nextcloud MCP'
type: file
disableDeletion: false
editable: true
options:
path: /var/lib/grafana/dashboards/nextcloud-mcp
dashboardsConfigMaps:
nextcloud-mcp: nextcloud-mcp-dashboards
```
## Dashboard Variables
The dashboard includes two variables:
- **Data Source**: Select your Prometheus data source
- **Namespace**: Filter metrics by Kubernetes namespace
## Customization
You can customize the dashboard by:
1. Adjusting refresh rate (default: 30s)
2. Modifying time range (default: last 6 hours)
3. Adding new panels for specific metrics
4. Adjusting thresholds in existing panels
## Metrics Reference
All metrics are documented in `/docs/observability.md`. Key metric prefixes:
- `mcp_http_*` - HTTP server metrics
- `mcp_tool_*` - MCP tool invocation metrics
- `mcp_nextcloud_api_*` - Nextcloud API call metrics
- `mcp_oauth_*` - OAuth token validation metrics
- `mcp_vector_sync_*` - Vector database sync metrics
- `mcp_db_*` - Database operation metrics
@@ -0,0 +1,630 @@
{
"annotations": {
"list": [
{
"builtIn": 1,
"datasource": {
"type": "grafana",
"uid": "-- Grafana --"
},
"enable": true,
"hide": true,
"iconColor": "rgba(0, 211, 255, 1)",
"name": "Annotations & Alerts",
"type": "dashboard"
}
]
},
"editable": true,
"fiscalYearStartMonth": 0,
"graphTooltip": 0,
"id": null,
"links": [],
"liveNow": false,
"panels": [
{
"datasource": {
"type": "prometheus",
"uid": "${datasource}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 10,
"gradientMode": "none",
"hideFrom": {
"tooltip": false,
"viz": false,
"legend": false
},
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "never",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
},
"unit": "reqps"
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 0
},
"id": 1,
"options": {
"legend": {
"calcs": ["mean", "max"],
"displayMode": "table",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
"mode": "multi",
"sort": "none"
}
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${datasource}"
},
"expr": "sum(rate(mcp_http_requests_total{namespace=\"$namespace\"}[5m])) by (method, endpoint)",
"legendFormat": "{{method}} {{endpoint}}",
"refId": "A"
}
],
"title": "Request Rate",
"type": "timeseries"
},
{
"datasource": {
"type": "prometheus",
"uid": "${datasource}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"custom": {
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 10,
"gradientMode": "none",
"hideFrom": {
"tooltip": false,
"viz": false,
"legend": false
},
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "never",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "line"
}
},
"mappings": [],
"max": 100,
"min": 0,
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "yellow",
"value": 1
},
{
"color": "red",
"value": 5
}
]
},
"unit": "percent"
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 0
},
"id": 2,
"options": {
"legend": {
"calcs": ["mean", "max"],
"displayMode": "table",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
"mode": "multi",
"sort": "none"
}
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${datasource}"
},
"expr": "sum(rate(mcp_http_requests_total{status_code=~\"5..\", namespace=\"$namespace\"}[5m])) / sum(rate(mcp_http_requests_total{namespace=\"$namespace\"}[5m])) * 100",
"legendFormat": "Error Rate",
"refId": "A"
}
],
"title": "Error Rate (%)",
"type": "timeseries"
},
{
"datasource": {
"type": "prometheus",
"uid": "${datasource}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 10,
"gradientMode": "none",
"hideFrom": {
"tooltip": false,
"viz": false,
"legend": false
},
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "never",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
},
"unit": "s"
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 8
},
"id": 3,
"options": {
"legend": {
"calcs": ["mean", "max"],
"displayMode": "table",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
"mode": "multi",
"sort": "none"
}
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${datasource}"
},
"expr": "histogram_quantile(0.95, sum(rate(mcp_http_request_duration_seconds_bucket{namespace=\"$namespace\"}[5m])) by (le, endpoint))",
"legendFormat": "{{endpoint}} (p95)",
"refId": "A"
},
{
"datasource": {
"type": "prometheus",
"uid": "${datasource}"
},
"expr": "histogram_quantile(0.50, sum(rate(mcp_http_request_duration_seconds_bucket{namespace=\"$namespace\"}[5m])) by (le, endpoint))",
"legendFormat": "{{endpoint}} (p50)",
"refId": "B"
}
],
"title": "Request Latency (P50/P95)",
"type": "timeseries"
},
{
"datasource": {
"type": "prometheus",
"uid": "${datasource}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 10,
"gradientMode": "none",
"hideFrom": {
"tooltip": false,
"viz": false,
"legend": false
},
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "never",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
},
"unit": "short"
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 8
},
"id": 4,
"options": {
"legend": {
"calcs": ["mean", "max"],
"displayMode": "table",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
"mode": "multi",
"sort": "none"
}
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${datasource}"
},
"expr": "topk(10, sum(rate(mcp_tool_calls_total{namespace=\"$namespace\"}[5m])) by (tool_name))",
"legendFormat": "{{tool_name}}",
"refId": "A"
}
],
"title": "Top MCP Tools by Volume",
"type": "timeseries"
},
{
"datasource": {
"type": "prometheus",
"uid": "${datasource}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 10,
"gradientMode": "none",
"hideFrom": {
"tooltip": false,
"viz": false,
"legend": false
},
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "never",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
},
"unit": "s"
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 16
},
"id": 5,
"options": {
"legend": {
"calcs": ["mean", "max"],
"displayMode": "table",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
"mode": "multi",
"sort": "none"
}
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${datasource}"
},
"expr": "histogram_quantile(0.95, sum(rate(mcp_nextcloud_api_duration_seconds_bucket{namespace=\"$namespace\"}[5m])) by (le, app))",
"legendFormat": "{{app}} (p95)",
"refId": "A"
}
],
"title": "Nextcloud API Latency by App",
"type": "timeseries"
},
{
"datasource": {
"type": "prometheus",
"uid": "${datasource}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 10,
"gradientMode": "none",
"hideFrom": {
"tooltip": false,
"viz": false,
"legend": false
},
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "never",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
},
"unit": "short"
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 16
},
"id": 6,
"options": {
"legend": {
"calcs": ["mean", "lastNotNull"],
"displayMode": "table",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
"mode": "multi",
"sort": "none"
}
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${datasource}"
},
"expr": "mcp_vector_sync_queue_size{namespace=\"$namespace\"}",
"legendFormat": "Queue Size",
"refId": "A"
}
],
"title": "Vector Sync Queue Size",
"type": "timeseries"
}
],
"refresh": "30s",
"schemaVersion": 38,
"style": "dark",
"tags": ["nextcloud", "mcp", "observability"],
"templating": {
"list": [
{
"current": {
"selected": false,
"text": "Prometheus",
"value": "Prometheus"
},
"hide": 0,
"includeAll": false,
"label": "Data Source",
"multi": false,
"name": "datasource",
"options": [],
"query": "prometheus",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"type": "datasource"
},
{
"current": {
"selected": false,
"text": "default",
"value": "default"
},
"datasource": {
"type": "prometheus",
"uid": "${datasource}"
},
"definition": "label_values(mcp_http_requests_total, namespace)",
"hide": 0,
"includeAll": false,
"label": "Namespace",
"multi": false,
"name": "namespace",
"options": [],
"query": {
"query": "label_values(mcp_http_requests_total, namespace)",
"refId": "PrometheusVariableQueryEditor-VariableQuery"
},
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 0,
"type": "query"
}
]
},
"time": {
"from": "now-6h",
"to": "now"
},
"timepicker": {},
"timezone": "",
"title": "Nextcloud MCP Server",
"uid": "nextcloud-mcp-server",
"version": 1,
"weekStart": ""
}
@@ -56,6 +56,11 @@ spec:
- name: http
containerPort: {{ include "nextcloud-mcp-server.port" . }}
protocol: TCP
{{- if .Values.observability.metrics.enabled }}
- name: metrics
containerPort: {{ .Values.observability.metrics.port }}
protocol: TCP
{{- end }}
env:
# Nextcloud connection
- name: NEXTCLOUD_HOST
@@ -200,6 +205,27 @@ spec:
value: {{ .Values.openai.baseUrl | quote }}
{{- end }}
{{- end }}
# Observability
- name: METRICS_ENABLED
value: {{ .Values.observability.metrics.enabled | quote }}
- name: METRICS_PORT
value: {{ .Values.observability.metrics.port | quote }}
{{- if .Values.observability.tracing.enabled }}
- name: OTEL_ENABLED
value: "true"
- name: OTEL_EXPORTER_OTLP_ENDPOINT
value: {{ .Values.observability.tracing.endpoint | quote }}
- name: OTEL_SERVICE_NAME
value: {{ .Values.observability.tracing.serviceName | quote }}
- name: OTEL_TRACES_SAMPLER_ARG
value: {{ .Values.observability.tracing.samplingRate | quote }}
{{- end }}
- name: LOG_FORMAT
value: {{ .Values.observability.logging.format | quote }}
- name: LOG_LEVEL
value: {{ .Values.observability.logging.level | quote }}
- name: LOG_INCLUDE_TRACE_CONTEXT
value: {{ .Values.observability.logging.includeTraceContext | quote }}
{{- with .Values.extraEnv }}
{{- toYaml . | nindent 12 }}
{{- end }}
@@ -0,0 +1,92 @@
{{- if and .Values.observability.metrics.enabled .Values.prometheusRule.enabled }}
apiVersion: monitoring.coreos.com/v1
kind: PrometheusRule
metadata:
name: {{ include "nextcloud-mcp-server.fullname" . }}
namespace: {{ .Release.Namespace }}
labels:
{{- include "nextcloud-mcp-server.labels" . | nindent 4 }}
{{- with .Values.prometheusRule.labels }}
{{- toYaml . | nindent 4 }}
{{- end }}
spec:
groups:
- name: nextcloud-mcp-server.critical
interval: 30s
rules:
- alert: NextcloudMCPServerDown
expr: up{job="{{ include "nextcloud-mcp-server.fullname" . }}"} == 0
for: 5m
labels:
severity: critical
annotations:
summary: "Nextcloud MCP Server is down"
description: "{{ `{{` }} $labels.pod {{ `}}` }} has been down for more than 5 minutes."
- alert: NextcloudMCPHighErrorRate
expr: |
sum(rate(mcp_http_requests_total{status_code=~"5..", job="{{ include "nextcloud-mcp-server.fullname" . }}"}[5m]))
/ sum(rate(mcp_http_requests_total{job="{{ include "nextcloud-mcp-server.fullname" . }}"}[5m])) > 0.05
for: 5m
labels:
severity: critical
annotations:
summary: "High error rate on Nextcloud MCP Server"
description: "Error rate is {{ `{{` }} printf \"%.2f%%\" (mul $value 100) {{ `}}` }} (threshold: 5%)"
- alert: NextcloudMCPHighLatency
expr: |
histogram_quantile(0.95,
sum(rate(mcp_http_request_duration_seconds_bucket{job="{{ include "nextcloud-mcp-server.fullname" . }}"}[5m])) by (le, endpoint)
) > 1
for: 5m
labels:
severity: critical
annotations:
summary: "High latency on Nextcloud MCP Server"
description: "P95 latency is {{ `{{` }} printf \"%.2fs\" $value {{ `}}` }} on {{ `{{` }} $labels.endpoint {{ `}}` }} (threshold: 1s)"
- alert: NextcloudMCPDependencyDown
expr: mcp_dependency_health{job="{{ include "nextcloud-mcp-server.fullname" . }}"} == 0
for: 2m
labels:
severity: critical
annotations:
summary: "Nextcloud MCP dependency is down"
description: "Dependency {{ `{{` }} $labels.dependency {{ `}}` }} has been down for more than 2 minutes."
- name: nextcloud-mcp-server.warning
interval: 30s
rules:
- alert: NextcloudMCPTokenValidationErrors
expr: |
sum(rate(mcp_oauth_token_validations_total{result="error", job="{{ include "nextcloud-mcp-server.fullname" . }}"}[10m]))
/ sum(rate(mcp_oauth_token_validations_total{job="{{ include "nextcloud-mcp-server.fullname" . }}"}[10m])) > 0.01
for: 10m
labels:
severity: warning
annotations:
summary: "High token validation error rate"
description: "Token validation error rate is {{ `{{` }} printf \"%.2f%%\" (mul $value 100) {{ `}}` }} (threshold: 1%)"
- alert: NextcloudMCPVectorSyncQueueHigh
expr: mcp_vector_sync_queue_size{job="{{ include "nextcloud-mcp-server.fullname" . }}"} > 100
for: 15m
labels:
severity: warning
annotations:
summary: "Vector sync queue is high"
description: "Vector sync queue size is {{ `{{` }} $value {{ `}}` }} (threshold: 100)"
- alert: NextcloudMCPQdrantSlowQueries
expr: |
histogram_quantile(0.95,
sum(rate(mcp_db_operation_duration_seconds_bucket{db="qdrant", job="{{ include "nextcloud-mcp-server.fullname" . }}"}[10m])) by (le)
) > 0.5
for: 10m
labels:
severity: warning
annotations:
summary: "Qdrant queries are slow"
description: "P95 Qdrant query latency is {{ `{{` }} printf \"%.2fs\" $value {{ `}}` }} (threshold: 0.5s)"
{{- end }}
@@ -15,5 +15,11 @@ spec:
targetPort: http
protocol: TCP
name: http
{{- if .Values.observability.metrics.enabled }}
- port: {{ .Values.observability.metrics.port }}
targetPort: metrics
protocol: TCP
name: metrics
{{- end }}
selector:
{{- include "nextcloud-mcp-server.selectorLabels" . | nindent 4 }}
@@ -0,0 +1,32 @@
{{- if and .Values.observability.metrics.enabled .Values.serviceMonitor.enabled }}
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
name: {{ include "nextcloud-mcp-server.fullname" . }}
namespace: {{ .Release.Namespace }}
labels:
{{- include "nextcloud-mcp-server.labels" . | nindent 4 }}
{{- with .Values.serviceMonitor.labels }}
{{- toYaml . | nindent 4 }}
{{- end }}
spec:
selector:
matchLabels:
{{- include "nextcloud-mcp-server.selectorLabels" . | nindent 6 }}
endpoints:
- port: metrics
path: {{ .Values.observability.metrics.path }}
interval: {{ .Values.serviceMonitor.interval }}
scrapeTimeout: {{ .Values.serviceMonitor.scrapeTimeout }}
scheme: http
relabelings:
# Add namespace label
- sourceLabels: [__meta_kubernetes_namespace]
targetLabel: namespace
# Add pod label
- sourceLabels: [__meta_kubernetes_pod_name]
targetLabel: pod
# Add service label
- sourceLabels: [__meta_kubernetes_service_name]
targetLabel: service
{{- end }}
+37
View File
@@ -168,6 +168,43 @@ securityContext:
runAsNonRoot: true
runAsUser: 1000
# Observability Configuration
observability:
# Prometheus metrics
metrics:
enabled: true
port: 9090
path: /metrics
# OpenTelemetry tracing
tracing:
enabled: false
endpoint: "" # e.g., "http://opentelemetry-collector:4317"
serviceName: "nextcloud-mcp-server"
samplingRate: 1.0
# Logging configuration
logging:
format: json # "json" or "text"
level: INFO
includeTraceContext: true
# Prometheus ServiceMonitor (requires Prometheus Operator)
serviceMonitor:
enabled: false
interval: 30s
scrapeTimeout: 10s
labels: {}
# Additional labels for ServiceMonitor (e.g., for Prometheus selector)
# Example: { prometheus: kube-prometheus }
# Prometheus alert rules (requires Prometheus Operator)
prometheusRule:
enabled: false
labels: {}
# Additional labels for PrometheusRule (e.g., for Prometheus selector)
# Example: { prometheus: kube-prometheus }
service:
type: ClusterIP
port: 8000
+8 -3
View File
@@ -1172,13 +1172,15 @@ def get_app(transport: str = "sse", enabled_apps: list[str] | None = None):
checks["auth_configured"] = "error: credentials not set"
is_ready = False
# Check Qdrant status if vector sync is enabled
# Check Qdrant status if using network mode (external Qdrant service)
# In-memory and persistent modes use embedded Qdrant, no external service to check
vector_sync_enabled = (
os.getenv("VECTOR_SYNC_ENABLED", "false").lower() == "true"
)
if vector_sync_enabled:
qdrant_url = os.getenv("QDRANT_URL") # Only set in network mode
if vector_sync_enabled and qdrant_url:
try:
qdrant_url = os.getenv("QDRANT_URL", "http://qdrant:6333")
async with httpx.AsyncClient(timeout=2.0) as client:
response = await client.get(f"{qdrant_url}/readyz")
if response.status_code == 200:
@@ -1189,6 +1191,9 @@ def get_app(transport: str = "sse", enabled_apps: list[str] | None = None):
except Exception as e:
checks["qdrant"] = f"error: {str(e)}"
is_ready = False
elif vector_sync_enabled:
# Using embedded Qdrant (memory or persistent mode)
checks["qdrant"] = "embedded"
status_code = 200 if is_ready else 503
return JSONResponse(
+1 -1
View File
@@ -1,6 +1,6 @@
[project]
name = "nextcloud-mcp-server"
version = "0.28.0"
version = "0.29.0"
description = "Model Context Protocol (MCP) server for Nextcloud integration - enables AI assistants to interact with Nextcloud data"
authors = [
{name = "Chris Coutinho", email = "chris@coutinho.io"}
Generated
+1 -1
View File
@@ -1059,7 +1059,7 @@ wheels = [
[[package]]
name = "nextcloud-mcp-server"
version = "0.28.0"
version = "0.29.0"
source = { editable = "." }
dependencies = [
{ name = "aiosqlite" },