Containerize MCP Server

Package an R MCP server into a Docker container for portable deployment.

When to Use

•Deploying an R MCP server without requiring a local R installation
•Creating a reproducible MCP server environment
•Running MCP servers alongside other containerized services
•Distributing an MCP server to other developers

Inputs

•Required: R MCP server implementation (mcptools-based or custom)
•Required: Docker installed and running
•Optional: Additional R packages the server needs
•Optional: Transport mode (stdio or HTTP)

Procedure

Step 1: Create Dockerfile for MCP Server

dockerfile

FROM rocker/r-ver:4.5.0

# Install system dependencies
RUN apt-get update && apt-get install -y \
    libcurl4-openssl-dev \
    libssl-dev \
    libxml2-dev \
    libgit2-dev \
    libssh2-1-dev \
    git \
    curl \
    && rm -rf /var/lib/apt/lists/*

# Install R packages
RUN R -e "install.packages(c( \
    'remotes', \
    'ellmer' \
    ), repos='https://cloud.r-project.org/')"

# Install mcptools
RUN R -e "remotes::install_github('posit-dev/mcptools')"

# Set working directory
WORKDIR /workspace

# Expose MCP server ports
EXPOSE 3000 3001 3002

# Environment variables
ENV R_LIBS_USER=/workspace/renv/library
ENV RENV_PATHS_CACHE=/workspace/renv/cache

# Default: start MCP server
CMD ["R", "-e", "mcptools::mcp_server()"]

Step 2: Create docker-compose.yml

yaml

version: '3.8'

services:
  mcp-server:
    build:
      context: .
      dockerfile: Dockerfile
    container_name: r-mcp-server
    image: r-mcp-server:latest

    volumes:
      - /path/to/projects:/workspace
      - renv-cache:/workspace/renv/cache

    stdin_open: true
    tty: true

    network_mode: "host"

    environment:
      - TERM=xterm-256color
      - R_LIBS_USER=/workspace/renv/library

    restart: unless-stopped

volumes:
  renv-cache:
    driver: local

Using network_mode: "host" ensures the MCP server ports are accessible on localhost.

Step 3: Build and Start

bash

docker compose build
docker compose up -d

Expected: Container starts with MCP server running.

On failure: Check logs with docker compose logs mcp-server. Common issues:

•Missing R packages: Add to Dockerfile RUN install step
•Port already in use: Change exposed port or stop conflicting service

Step 4: Connect Claude Code to Container

For stdio transport (container must stay running with stdin):

bash

claude mcp add r-mcp-docker stdio "docker" "exec" "-i" "r-mcp-server" "R" "-e" "mcptools::mcp_server()"

For HTTP transport (if the MCP server supports it):

json

{
  "mcpServers": {
    "r-mcp-docker": {
      "type": "http",
      "url": "http://localhost:3000/mcp"
    }
  }
}

Step 5: Verify Connection

bash

# Check container is running
docker ps | grep mcp-server

# Test R session inside container
docker exec -it r-mcp-server R -e "sessionInfo()"

# Verify mcptools is available
docker exec -it r-mcp-server R -e "library(mcptools)"

Step 6: Add Custom MCP Tools

To add project-specific MCP tools, mount your R scripts:

yaml

volumes:
  - ./mcp-tools:/mcp-tools

And load them in the CMD:

dockerfile

CMD ["R", "-e", "source('/mcp-tools/custom_tools.R'); mcptools::mcp_server()"]

Validation

• Container builds without errors
• MCP server starts inside the container
• Claude Code can connect to the containerized server
• MCP tools respond correctly to requests
• Container restarts cleanly
• Volume mounts allow access to project files

Common Pitfalls

•stdin/tty requirements: MCP stdio transport requires stdin_open: true and tty: true
•Network isolation: Default Docker networking may prevent localhost access. Use network_mode: "host" or expose specific ports.
•Package versions: Pin mcptools to a specific commit for reproducibility
•Large image size: mcptools + dependencies can be large. Consider multi-stage builds for production.
•Windows Docker paths: When running Docker Desktop on Windows with WSL, path mapping differs

Related Skills

•create-r-dockerfile - base Dockerfile patterns for R
•setup-docker-compose - compose configuration details
•configure-mcp-server - MCP server configuration without Docker
•troubleshoot-mcp-connection - debugging MCP connectivity issues