[WIP] adding docker build

Dockerfile

@@ -0,0 +1,53 @@
+# Use a Python image with uv pre-installed
+FROM ghcr.io/astral-sh/uv:python3.13-bookworm-slim AS uv
+
+# Install the project into `/app`
+WORKDIR /app
+
+# Enable bytecode compilation
+ENV UV_COMPILE_BYTECODE=1
+
+# Copy from the cache instead of linking since it's a mounted volume
+ENV UV_LINK_MODE=copy
+
+RUN apt-get update && apt-get install -y --no-install-recommends \
+        build-essential liblz4-dev libzstd-dev
+# Install the project's dependencies using the lockfile and settings
+RUN --mount=type=cache,target=/root/.cache/uv \
+    --mount=type=bind,source=uv.lock,target=uv.lock \
+    --mount=type=bind,source=pyproject.toml,target=pyproject.toml \
+    uv sync --frozen --no-install-project --no-dev --no-editable
+
+# Then, add the rest of the project source code and install it
+# Installing separately from its dependencies allows optimal layer caching
+ADD . /app
+RUN --mount=type=cache,target=/root/.cache/uv \
+    uv sync --frozen --no-dev --no-editable
+
+FROM python:3.13-slim-bookworm
+
+WORKDIR /app
+# Copy the virtual environment
+COPY --from=uv --chown=app:app /app/.venv /app/.venv
+# Copy the uv executable
+COPY --from=uv /usr/local/bin/uv /usr/local/bin/
+# Copy the project files
+COPY --from=uv /app /app
+
+# Place executables in the environment at the front of the path
+ENV PATH="/app/.venv/bin:/usr/local/bin:$PATH"
+
+# Add ClickHouse environment variables
+ENV CLICKHOUSE_HOST=""
+ENV CLICKHOUSE_PORT="8443"
+ENV CLICKHOUSE_USER=""
+ENV CLICKHOUSE_PASSWORD=""
+ENV CLICKHOUSE_SECURE="true"
+ENV CLICKHOUSE_VERIFY="true"
+ENV CLICKHOUSE_CONNECT_TIMEOUT="30"
+ENV CLICKHOUSE_SEND_RECEIVE_TIMEOUT="300"
+ENV CLICKHOUSE_DATABASE=""
+
+EXPOSE 28123
+# when running the container, add --db-path and a bind mount to the host's db file
+ENTRYPOINT ["uv", "run", "mcp-clickhouse-sse", "--directory", "/app"]

README.md

@@ -210,6 +210,50 @@ You can set these variables in your environment, in a `.env` file, or in the Cla
 }
 ```
 
+## Running with Docker Compose
+
+You can run the MCP server using Docker Compose with SSE mode. Create a `docker-compose.yml` file with the following configuration:
+
+```yaml
+version: '3.8'
+services:
+  mcp-clickhouse:
+    build: .
+    environment:
+      - CLICKHOUSE_HOST=your-clickhouse-host
+      - CLICKHOUSE_PORT=8443
+      - CLICKHOUSE_USER=your-user
+      - CLICKHOUSE_PASSWORD=your-password
+      - CLICKHOUSE_DATABASE=your-database
+      - CLICKHOUSE_SECURE=true
+      - CLICKHOUSE_VERIFY=true
+    ports:
+      - "28123:28123"
+```
+
+Then run:
+```bash
+docker compose up -d
+```
+
+### MCP Configuration for Docker
+
+When running the MCP server in Docker in SSE, you'll need to configure your MCP client to use `host.docker.internal` when running on the same machine. Update your MCP configuration to use the following URI:
+
+```json
+{
+  "mcpServers": {
+    "mcp-clickhouse": {
+      "type": "sse",
+      "uri": "http://host.docker.internal:28123/sse",
+      "timeout": 60000
+    }
+  }
+}
+```
+
+If you're using Claude Desktop, add this configuration to your `claude_desktop_config.json` file along with the existing configuration.
+
 ### Running tests
 
 ```bash

docker-compose.yml

@@ -0,0 +1,18 @@
+version: '3.8'
+
+services:
+  mcp-clickhouse:
+    build:
+      context: .
+      dockerfile: Dockerfile
+    ports:
+      - "28123:28123"
+    environment:
+      - CLICKHOUSE_HOST=sql-clickhouse.clickhouse.com
+      - CLICKHOUSE_PORT=8443
+      - CLICKHOUSE_USER=demo
+      - CLICKHOUSE_PASSWORD=
+      - CLICKHOUSE_SECURE=true
+      - CLICKHOUSE_VERIFY=true
+      - CLICKHOUSE_CONNECT_TIMEOUT=30
+      - CLICKHOUSE_SEND_RECEIVE_TIMEOUT=30

mcp_clickhouse/main.py

@@ -1,9 +1,16 @@
+import asyncio
+import argparse
+
 from .mcp_server import mcp
 
 
 def main():
     mcp.run()
 
 
+def main_sse():
+    mcp.run(transport="sse")
+
+
 if __name__ == "__main__":
     main()

mcp_clickhouse/mcp_server.py

@@ -46,6 +46,7 @@ class Table:
 
 
 MCP_SERVER_NAME = "mcp-clickhouse"
+SERVER_PORT = 28123
 
 # Configure logging
 logging.basicConfig(
@@ -66,7 +67,7 @@ class Table:
     "pip-system-certs",
 ]
 
-mcp = FastMCP(MCP_SERVER_NAME, dependencies=deps)
+mcp = FastMCP(MCP_SERVER_NAME, dependencies=deps, port=SERVER_PORT)
 
 
 def result_to_table(query_columns, result) -> List[Table]:

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "mcp-clickhouse"
-version = "0.1.7"
+version = "0.1.8"
 description = "An MCP server for ClickHouse."
 readme = "README.md"
 license = "Apache-2.0"
@@ -10,13 +10,14 @@ dependencies = [
      "mcp[cli]>=1.3.0",
      "python-dotenv>=1.0.1",
      "uvicorn>=0.34.0",
+     "uvicorn[standard]>=0.34.0",
      "clickhouse-connect>=0.8.16",
      "pip-system-certs>=4.0",
 ]
 
 [project.scripts]
 mcp-clickhouse = "mcp_clickhouse.main:main"
-
+mcp-clickhouse-sse = "mcp_clickhouse.main:main_sse"
 [project.urls]
 Home = "https://github.com/ClickHouse/mcp-clickhouse"
 

server.py

@@ -0,0 +1,5 @@
+import uvicorn
+from mcp_clickhouse.mcp_server import app
+
+if __name__ == "__main__":
+    uvicorn.run(app, host="0.0.0.0", port=18213)