Initial commit: Ollama MCP server

MCP server exposing local Ollama models via LiteLLM proxy to Claude Code.
Tools: query_local_model, review_code, summarize, generate_boilerplate, list_models.
Deployed to k8s ai-inference namespace via ArgoCD.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

.gitea/workflows/build-deploy.yml

@@ -0,0 +1,65 @@
+name: Build and Deploy
+
+on:
+  push:
+    branches:
+      - main
+  pull_request:
+    branches:
+      - main
+
+jobs:
+  build-push:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v3
+
+      - name: Build and push Docker image
+        run: |
+          docker login registry.storedbox.net \
+            -u ${{ secrets.DOCKER_USER }} \
+            -p ${{ secrets.DOCKER_PASSWORD }}
+
+          docker build -t registry.storedbox.net/ollama-mcp:${{ github.sha }} .
+          docker tag registry.storedbox.net/ollama-mcp:${{ github.sha }} \
+            registry.storedbox.net/ollama-mcp:latest
+
+          docker push registry.storedbox.net/ollama-mcp:${{ github.sha }}
+          docker push registry.storedbox.net/ollama-mcp:latest
+
+  deploy:
+    runs-on: ubuntu-latest
+    needs: build-push
+    if: github.ref == 'refs/heads/main'
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v3
+
+      - name: Set up kubectl
+        uses: azure/setup-kubectl@v3
+
+      - name: Configure kubectl
+        run: |
+          echo "${{ secrets.KUBE_CONFIG }}" > kubeconfig
+          export KUBECONFIG=kubeconfig
+
+      - name: Apply k8s manifests
+        run: |
+          kubectl apply -f k8s/deployment.yaml --kubeconfig=kubeconfig
+
+      - name: Rollout restart to pull latest image
+        run: |
+          kubectl rollout restart deployment/ollama-mcp \
+            -n ai-inference --kubeconfig=kubeconfig
+          kubectl rollout status deployment/ollama-mcp \
+            -n ai-inference --kubeconfig=kubeconfig --timeout=120s
+
+      - name: Health check
+        run: |
+          sleep 10
+          MCP_IP=$(kubectl get svc ollama-mcp -n ai-inference \
+            -o jsonpath='{.status.loadBalancer.ingress[0].ip}' \
+            --kubeconfig=kubeconfig)
+          curl -f http://${MCP_IP}:8090/health || exit 1
+          echo "MCP server healthy at http://${MCP_IP}:8090"