MCP Server: Real-Time Analytics & Lightning Caching

🚀 MCP Server: Docker-powered with Redis & TimescaleDB for real-time analytics, lightning-fast caching, and rock-solid time-series storage. Built for enterprise agility. #CloudNative

Visit Repository

✨ Developer Tools

4.7(22 reviews)

33 saves

15 comments

84% of users reported increased productivity after just one week

About MCP Server

What is MCP Server: Real-Time Analytics & Lightning Caching?

MCP Server is a Dockerized solution designed to handle real-time data processing and caching with minimal latency. It combines FastAPI for rapid API interactions, Redis for instant data caching, and TimescaleDB (a PostgreSQL extension) for time-series analytics. This stack ensures efficient data management while simplifying deployment via Docker Compose.

How to Use MCP Server: Real-Time Analytics & Lightning Caching?

Get started in four easy steps:

Clone the repo using `git clone` and navigate into the folder.
Tweak the config by copying and editing the `.env` file.
Fire up Docker with `docker compose up -d` to launch the server, Redis, and TimescaleDB.
Access the server at http://localhost:8080 to start sending requests.

For a fresh Ubuntu VM? Use the `full-bootstrap-mcp.sh` script to automate setup—installs dependencies, configures security, and even sets up remote desktop access.

MCP Server Features

Key Features of MCP Server: Real-Time Analytics & Lightning Caching

Lightning-fast caching: Redis handles high-traffic reads with sub-millisecond response times.
Time-series mastery: TimescaleDB optimizes storage and querying for timestamped data (e.g., sensor logs or user activity).
Zero-downtime resilience: systemd ensures automatic restarts after crashes or reboots.
Dev-friendly automation: Pre-built scripts simplify deployment, repo management, and SSH configuration.

Use Cases of MCP Server: Real-Time Analytics & Lightning Caching

This stack excels in scenarios needing:

IoT sensor data pipelines (store+cache environmental metrics)
Financial trading platforms (real-time price updates + historical analysis)
User engagement tracking (cache active sessions + analyze trends)
Monitoring dashboards (aggregate logs while caching frequent queries)

Its modularity also makes it easy to integrate into existing microservices architectures.

MCP Server FAQ

FAQ from MCP Server: Real-Time Analytics & Lightning Caching

Can I scale this horizontally?

Yes! Redis and TimescaleDB both support clustering. Adjust the Docker Compose file to add replicas, though caching strategies might need tweaking.

How do I monitor performance?

TimescaleDB includes built-in monitoring functions. For Redis metrics, use Redis INFO or third-party tools like Grafana.

What if my data grows beyond expectations?

TimescaleDB's hypertables auto-partition data by time, so it scales smoothly. Pair this with Redis eviction policies to control cache size.

Can I customize the FastAPI endpoints?

Absolutely! The `app/app.py` is fully editable. Add your own API routes, adjust caching logic, or integrate authentication layers as needed.

Content

🚀 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.

🛠️ 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 .env file.
Systemd Service : Ensures the server auto-starts on reboot.

📋 Prerequisites

Docker and Docker Compose installed on your system.
Git for version control.
Zsh with Oh-My-Zsh (optional, for enhanced shell experience).

📂 Repository Structure

mcp-server-docker/
├── app/
│   └── app.py
├── .env.example
├── docker-compose.yml
├── Dockerfile
├── requirements.txt
├── scripts/
│   ├── bootstrap-mcp.sh
│   ├── full-bootstrap-mcp.sh
│   ├── init-repo.sh
│   ├── push-repo.sh
│   └── setup-mcpserver.sh
└── README.md

🚀 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 .env

Modify .env as needed.

Build and Start the Containers :

docker compose build

docker compose up -d

Access the MCP Server :

http://localhost:8080

🔄 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

🧪 Scripts

The scripts/ directory contains utility scripts to automate infrastructure tasks.

🛠️ `scripts/full-bootstrap-mcp.sh`

💡 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-zsh with the jonathan theme
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

📜 `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

📤 `scripts/push-repo.sh`

Pushes your local repo to a remote (update URL first):

chmod +x scripts/push-repo.sh
./scripts/push-repo.sh

🧠 `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

⚠️ Edit placeholder values (e.g., IPs, usernames, repo URLs) before executing.

🤝 Contributions

Feel free to fork this repository, submit issues, or create pull requests.

📄 License

This project is licensed under the MIT License.

Related MCP Servers & Clients

MCP Categories

Developer Tools