π MCP Server with Docker, Redis, and TimescaleDB
LocalAbout π MCP Server with Docker, Redis, and TimescaleDB
This repository packages an MCP server with Docker Compose, Redis, and TimescaleDB, using FastAPI. It is intended for deploying and maintaining an MCP service with setup scripts and optional systemd restart configuration.
Key features
- 01FastAPI web framework
- 02Redis caching
- 03TimescaleDB integration
- 04Docker Compose orchestration
- 05Environment-based configuration
- 06Systemd auto-start setup
Use cases
- 01Deploy the service on a fresh Ubuntu VM
- 02Run the server and databases with Docker Compose
- 03Configure containers through a `.env` file
- 04Restart containers automatically after reboot
MCP support
The project sets up an MCP server; the README does not specify the tools or resources it exposes.
Configuration
Local server config is the same for every client. Copy it into your clientβs MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEπ MCP Server with Docker, Redis, and TimescaleDB
This repository sets up a Model Context Protocol (MCP) Server using Docker, integrating Redis and TimescaleDB for efficient data management.
π οΈ Features
- FastAPI: Serves as the web framework for the MCP server.
- Redis: Provides caching mechanisms.
- TimescaleDB: A time-series database built on PostgreSQL.
- Docker Compose: Orchestrates multi-container Docker applications.
- Environment Variables: Configurable via
.envfile. - Systemd Service: Ensures the server auto-starts on reboot.
π Prerequisites
- Docker and Docker Compose installed on your system.
- Git for version control.
- Zsh with Oh-My-Zsh (optional, for enhanced shell experience).
π Repository Structure
mcp-server-docker/
βββ app/
β βββ app.py
βββ .env.example
βββ docker-compose.yml
βββ Dockerfile
βββ requirements.txt
βββ scripts/
β βββ bootstrap-mcp.sh
β βββ full-bootstrap-mcp.sh
β βββ init-repo.sh
β βββ push-repo.sh
β βββ setup-mcpserver.sh
βββ README.md
π Setup Instructions
-
Clone the Repository:
git clone https://github.com/chuckwilliams37/mcp-server-docker.git cd mcp-server-docker -
Configure Environment Variables:
cp .env.example .envModify
.envas needed. -
Build and Start the Containers:
docker compose build docker compose up -d -
Access the MCP Server:
http://localhost:8080
π Auto-Restart on Reboot
Create a systemd service to keep your app alive:
sudo nano /etc/systemd/system/mcp-docker.service
Paste:
[Unit]
Description=MCP Docker Compose App
Requires=docker.service
After=docker.service
[Service]
WorkingDirectory=/home/youruser/mcp-server-docker
ExecStart=/usr/bin/docker compose up -d
ExecStop=/usr/bin/docker compose down
Restart=always
TimeoutStartSec=0
[Install]
WantedBy=multi-user.target
Enable it:
sudo systemctl daemon-reload
sudo systemctl enable mcp-docker
sudo systemctl start mcp-docker
π§ͺ Scripts
The scripts/ directory contains utility scripts to automate infrastructure tasks.
π οΈ scripts/full-bootstrap-mcp.sh
π‘ Use this on a fresh Ubuntu VM to fully prepare it for MCP deployment. It:
- Installs system dependencies (Docker, Git, Zsh, UFW, Fail2Ban, etc.)
- Sets up
oh-my-zshwith thejonathantheme - Configures Remote Desktop with XFCE + XRDP
- Clones the MCP repo
- Builds and launches the app with
docker compose - Adds a systemd service to relaunch containers on reboot
chmod +x scripts/full-bootstrap-mcp.sh
./scripts/full-bootstrap-mcp.sh
π scripts/init-repo.sh
Initializes a new local Git repository and commits the current directory:
chmod +x scripts/init-repo.sh
./scripts/init-repo.sh
π€ scripts/push-repo.sh
Pushes your local repo to a remote (update URL first):
chmod +x scripts/push-repo.sh
./scripts/push-repo.sh
π§ scripts/setup-mcpserver.sh
Configures your local SSH environment to access a remote MCP server:
- Pushes your public key
- Adds an SSH alias
- Prints a sample A-record
chmod +x scripts/setup-mcpserver.sh
./scripts/setup-mcpserver.sh
β οΈ Edit placeholder values (e.g., IPs, usernames, repo URLs) before executing.
π€ Contributions
Feel free to fork this repository, submit issues, or create pull requests.
π License
This project is licensed under the MIT License.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.