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MCP Server

by chuckwilliams37

This repository provides a Model Context Protocol (MCP) Server setup using Docker, integrating Redis and TimescaleDB for efficient data management. It leverages Docker Compose for orchestration and offers scripts for automated infrastructure tasks.

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What is MCP Server?

The MCP Server is a backend application designed to manage and serve model context data. It utilizes FastAPI as a web framework, Redis for caching, and TimescaleDB for time-series data storage, all orchestrated within a Docker environment.

How to use MCP Server?

To use the MCP Server, clone the repository, configure environment variables in the .env file, build and start the Docker containers using docker compose build and docker compose up -d. The server can then be accessed at http://localhost:8080. A systemd service is provided for auto-restart on reboot.

Key features of MCP Server

  • FastAPI web framework

  • Redis caching

  • TimescaleDB time-series database

  • Docker Compose orchestration

  • Configurable environment variables

  • Systemd service for auto-restart

Use cases of MCP Server

  • Serving model context data

  • Caching frequently accessed data

  • Storing time-series data related to models

  • Automated deployment and management of the MCP server

  • Rapid setup of MCP server environments

  • Deploying MCP server on cloud or on-premise infrastructure

FAQ from MCP Server

What is MCP?

MCP stands for Model Context Protocol. The README doesn't define the specifics of the protocol itself.

What are the prerequisites for running this server?

Docker, Docker Compose, and Git are required. Zsh with Oh-My-Zsh is optional.

How do I configure the server?

Configure the server by modifying the .env file with the appropriate environment variables.

How do I ensure the server restarts automatically?

Create and enable the provided systemd service file.

What is the purpose of the scripts/ directory?

The scripts/ directory contains utility scripts to automate infrastructure tasks, such as setting up a fresh Ubuntu VM, initializing a Git repository, pushing to a remote repository, and configuring SSH access.