Columbia MCP Servers

What is Columbia MCP Servers?

This repository provides the deployment infrastructure and server implementations for Columbia's Model Context Protocol (MCP) servers. It includes Docker‑based deployment, monitoring, and security tooling for a collection of AI, data, and tool services.

How to use Columbia MCP Servers?

Clone the repository, run the setup script (setup.sh), configure the .env file, and then deploy with deploy.sh. Monitoring can be started via monitor.sh. The server is designed for production use with containerized services.

Key features of Columbia MCP Servers

• Docker‑based deployment with Docker Compose
• High availability via load balancing and replication
• Prometheus and Grafana monitoring integration
• SSL/TLS, authentication, and rate limiting security
• Horizontal scaling capabilities
• Automated backup with point‑in‑time recovery

Use cases of Columbia MCP Servers

• Deploying MCP services in a production environment
• Monitoring service health and metrics with Prometheus and Grafana
• Managing AI, data, and tool services as a unified stack
• Implementing a secure, scalable MCP server infrastructure
• Automating backup and disaster recovery

FAQ from Columbia MCP Servers

What are the system requirements?

Docker 20.10+, Docker Compose 2.0+, Node.js 18+, and Redis 6+ are required.

How do I deploy Columbia MCP Servers?

Clone the repository, run setup.sh, edit the .env file, and then execute deploy.sh. Use monitor.sh to check health and metrics.

What monitoring tools are included?

Prometheus (port 9090) and Grafana (port 3000) are integrated for metrics collection and visualization.

How is security implemented?

Services run in isolated containers with SSL/TLS encryption, Redis password protection, rate limiting, and regular security updates.

What types of services are provided?

The repository includes implementations for AI‑related services, data services, and tool services under the services/ directory.