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>

Dockerfile

@@ -0,0 +1,20 @@
+FROM python:3.12-slim
+
+WORKDIR /app
+
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+COPY src/ ./src/
+
+ENV PYTHONUNBUFFERED=1 \
+    PORT=8090 \
+    LITELLM_BASE_URL=http://litellm.ai-inference.svc:4000 \
+    REQUEST_TIMEOUT=120
+
+EXPOSE 8090
+
+HEALTHCHECK --interval=30s --timeout=10s --start-period=15s --retries=3 \
+    CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8090/health')"
+
+CMD ["python", "src/server.py"]