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17 Commits

Author SHA1 Message Date
github-actions[bot] a0576aa9a2 bump: version 0.29.1 → 0.29.2 2025-11-09 18:28:34 +00:00
Chris Coutinho 4a6c60113b fix(helm): Set default strategy to Recreate 2025-11-09 19:27:55 +01:00
Chris Coutinho a0cb1ac9fe Merge pull request #281 from cbcoutinho/renovate/qdrant-1.x
chore(deps): update helm release qdrant to v1
2025-11-09 18:38:22 +01:00
renovate-bot-cbcoutinho[bot] de4f1032aa chore(deps): update helm release qdrant to v1 2025-11-09 17:08:13 +00:00
Chris Coutinho 178be5da6d Merge pull request #279 from cbcoutinho/renovate/ollama-1.x
chore(deps): update helm release ollama to v1.34.0
2025-11-09 18:04:08 +01:00
Chris Coutinho 61d8c851c9 Merge pull request #272 from cbcoutinho/renovate/softprops-action-gh-release-2.x
chore(deps): update softprops/action-gh-release action to v2.4.2
2025-11-09 17:02:19 +01:00
Chris Coutinho a8c63c8379 Merge pull request #278 from cbcoutinho/renovate/azure-setup-helm-4.x
chore(deps): update azure/setup-helm action to v4.3.1
2025-11-09 17:01:59 +01:00
renovate-bot-cbcoutinho[bot] 3147180ccd chore(deps): update helm release ollama to v1.34.0 2025-11-09 11:08:18 +00:00
renovate-bot-cbcoutinho[bot] 380578dd2e chore(deps): update softprops/action-gh-release action to v2.4.2 2025-11-09 11:07:57 +00:00
renovate-bot-cbcoutinho[bot] 10c5557aea chore(deps): update azure/setup-helm action to v4.3.1 2025-11-09 11:07:52 +00:00
github-actions[bot] 7772b1ac2e bump: version 0.29.0 → 0.29.1 2025-11-09 08:54:26 +00:00
Chris Coutinho 0513bec105 Merge pull request #275 from cbcoutinho/feature/observability-monitoring
fix(observability): isolate metrics endpoint to dedicated port
2025-11-09 09:54:00 +01:00
Chris Coutinho 4e89e92b65 fix(observability): isolate metrics endpoint to dedicated port
Security fix: Move Prometheus metrics endpoint from main HTTP port to
dedicated port 9090 to prevent external exposure of metrics data.

Changes:
- Use prometheus_client.start_http_server() for dedicated metrics server
- Remove /metrics route from main application routes
- Metrics now only accessible on port 9090 (configurable via METRICS_PORT)
- Main application port no longer serves /metrics endpoint

This follows security best practice of isolating monitoring endpoints
from application traffic.

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-09 09:53:36 +01:00
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
17 changed files with 985 additions and 51 deletions
+1 -1
View File
@@ -25,7 +25,7 @@ jobs:
github_token: ${{ secrets.PERSONAL_ACCESS_TOKEN }}
changelog_increment_filename: body.md
- name: Release
uses: softprops/action-gh-release@6da8fa9354ddfdc4aeace5fc48d7f679b5214090 # v2.4.1
uses: softprops/action-gh-release@5be0e66d93ac7ed76da52eca8bb058f665c3a5fe # v2.4.2
with:
body_path: "body.md"
tag_name: v${{ env.REVISION }}
+1 -1
View File
@@ -25,7 +25,7 @@ jobs:
git config user.email "$GITHUB_ACTOR@users.noreply.github.com"
- name: Install Helm
uses: azure/setup-helm@v4.3.0
uses: azure/setup-helm@1a275c3b69536ee54be43f2070a358922e12c8d4 # v4.3.1
with:
version: v3.16.0
+22
View File
@@ -1,3 +1,25 @@
## v0.29.2 (2025-11-09)
### Fix
- **helm**: Set default strategy to Recreate
## v0.29.1 (2025-11-09)
### Fix
- **observability**: isolate metrics endpoint to dedicated port
## 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
+4 -4
View File
@@ -1,9 +1,9 @@
dependencies:
- name: qdrant
repository: https://qdrant.github.io/qdrant-helm
version: 0.9.0
version: 1.15.5
- name: ollama
repository: https://otwld.github.io/ollama-helm
version: 1.33.0
digest: sha256:d2a0d0e347db47dc89c607d61251aeb0b7a39eddaa2d8137526f29cf625c900c
generated: "2025-11-09T07:48:54.477365384+01:00"
version: 1.34.0
digest: sha256:d51c97d05be2614b751c0dd7267ef7dc959eff5ebef859c5f895c5c554b7a874
generated: "2025-11-09T17:08:02.86648061Z"
+4 -4
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: 0.29.2
appVersion: "0.29.2"
keywords:
- nextcloud
- mcp
@@ -23,10 +23,10 @@ sources:
icon: https://raw.githubusercontent.com/nextcloud/server/master/core/img/logo/logo.svg
dependencies:
- name: qdrant
version: "0.9.0"
version: "1.15.5"
repository: https://qdrant.github.io/qdrant-helm
condition: qdrant.networkMode.deploySubchart
- name: ollama
version: "1.33.0"
version: "1.34.0"
repository: https://otwld.github.io/ollama-helm
condition: ollama.enabled
@@ -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": ""
}
@@ -5,6 +5,8 @@ metadata:
labels:
{{- include "nextcloud-mcp-server.labels" . | nindent 4 }}
spec:
strategy:
type: Recreate
{{- if not .Values.autoscaling.enabled }}
replicas: {{ .Values.replicaCount }}
{{- end }}
@@ -56,6 +58,11 @@ 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 +207,27 @@ 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
+14 -12
View File
@@ -39,7 +39,6 @@ from nextcloud_mcp_server.context import get_client as get_nextcloud_client
from nextcloud_mcp_server.document_processors import get_registry
from nextcloud_mcp_server.observability import (
ObservabilityMiddleware,
get_metrics_handler,
get_uvicorn_logging_config,
setup_metrics,
setup_tracing,
@@ -786,8 +785,10 @@ def get_app(transport: str = "sse", enabled_apps: list[str] | None = None):
# Setup Prometheus metrics (always enabled by default)
if settings.metrics_enabled:
setup_metrics()
logger.info("Prometheus metrics enabled")
setup_metrics(port=settings.metrics_port)
logger.info(
f"Prometheus metrics enabled on dedicated port {settings.metrics_port}"
)
# Setup OpenTelemetry tracing (optional)
if settings.tracing_enabled:
@@ -1172,13 +1173,15 @@ 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 +1192,9 @@ 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(
@@ -1207,12 +1213,8 @@ def get_app(transport: str = "sse", enabled_apps: list[str] | None = None):
routes.append(Route("/health/ready", health_ready, methods=["GET"]))
logger.info("Health check endpoints enabled: /health/live, /health/ready")
# Add metrics endpoint (if metrics are enabled)
if settings.metrics_enabled:
routes.append(Route("/metrics", get_metrics_handler, methods=["GET"]))
logger.info(
f"Prometheus metrics endpoint enabled: /metrics (port: {settings.metrics_port if hasattr(settings, 'metrics_port') else 'default'})"
)
# Note: Metrics endpoint is NOT exposed on main HTTP port for security reasons.
# Metrics are served on dedicated port via setup_metrics() (default: 9090)
if oauth_enabled:
# Import OAuth routes (ADR-004 Progressive Consent)
@@ -18,10 +18,7 @@ from nextcloud_mcp_server.observability.logging_config import (
get_uvicorn_logging_config,
setup_logging,
)
from nextcloud_mcp_server.observability.metrics import (
get_metrics_handler,
setup_metrics,
)
from nextcloud_mcp_server.observability.metrics import setup_metrics
from nextcloud_mcp_server.observability.middleware import ObservabilityMiddleware
from nextcloud_mcp_server.observability.tracing import setup_tracing
@@ -30,6 +27,5 @@ __all__ = [
"get_uvicorn_logging_config",
"setup_metrics",
"setup_tracing",
"get_metrics_handler",
"ObservabilityMiddleware",
]
+21 -22
View File
@@ -17,15 +17,11 @@ and resource usage. Metrics are organized by category:
import logging
from prometheus_client import (
CONTENT_TYPE_LATEST,
REGISTRY,
Counter,
Gauge,
Histogram,
generate_latest,
start_http_server,
)
from starlette.requests import Request
from starlette.responses import Response
logger = logging.getLogger(__name__)
@@ -220,29 +216,32 @@ dependency_check_duration_seconds = Histogram(
# =============================================================================
def setup_metrics() -> None:
def setup_metrics(port: int = 9090) -> None:
"""
Initialize Prometheus metrics collection.
Initialize Prometheus metrics collection and start HTTP server.
This function should be called once during application startup.
It currently doesn't require any initialization beyond module-level
metric definitions, but is provided for consistency and future extensibility.
"""
logger.info("Prometheus metrics initialized")
async def get_metrics_handler(request: Request) -> Response:
"""
HTTP handler for the /metrics endpoint.
Starts a dedicated HTTP server on the specified port to serve metrics.
This server runs in a separate thread and is isolated from the main application.
Args:
request: Starlette request object (unused, but required by signature)
port: Port to serve metrics on (default: 9090)
Returns:
Response containing Prometheus metrics in text format
Note:
Metrics endpoint (/metrics) is ONLY accessible on this dedicated port,
not on the main application HTTP port. This is a security best practice
to prevent external exposure of metrics.
"""
metrics_data = generate_latest(REGISTRY)
return Response(content=metrics_data, media_type=CONTENT_TYPE_LATEST)
try:
start_http_server(port)
logger.info(f"Prometheus metrics server started on port {port}")
except OSError as e:
if "Address already in use" in str(e):
logger.warning(
f"Metrics port {port} already in use (metrics server likely already running)"
)
else:
logger.error(f"Failed to start metrics server on port {port}: {e}")
raise
# =============================================================================
+1 -1
View File
@@ -1,6 +1,6 @@
[project]
name = "nextcloud-mcp-server"
version = "0.28.0"
version = "0.29.2"
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 = "0.29.2"
source = { editable = "." }
dependencies = [
{ name = "aiosqlite" },