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Columbia MCP Servers

by MCP-Mirror

This repository provides the deployment infrastructure and server implementations for Columbia's Model Context Protocol (MCP) servers. It includes configurations for Docker, Prometheus, and Redis, along with deployment scripts and documentation.

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What is Columbia MCP Servers?

Columbia MCP Servers is a collection of server implementations and deployment infrastructure designed to support Columbia's Model Context Protocol (MCP). It provides a robust and scalable platform for running AI-related services, data services, and tool services.

How to use Columbia MCP Servers?

To use Columbia MCP Servers, clone the repository, run the setup script, configure environment variables, deploy to production using the provided scripts, and monitor the deployment. Detailed instructions can be found in the deployment guide.

Key features of Columbia MCP Servers

  • Docker-based Deployment

  • High Availability

  • Monitoring (Prometheus and Grafana integration)

  • Security (SSL/TLS, authentication, and secure configurations)

  • Scalability

  • Backup & Recovery

Use cases of Columbia MCP Servers

  • Deploying and managing AI services

  • Running data processing pipelines

  • Hosting tool services for AI development

  • Creating a scalable and reliable infrastructure for MCP

FAQ from Columbia MCP Servers

What are the key requirements for running this server?

You need Docker 20.10+, Docker Compose 2.0+, Node.js 18+, and Redis 6+.

How do I deploy the server to production?

Use the ./docker/scripts/deploy.sh script after configuring the environment variables in the .env file.

How can I monitor the server's health and performance?

The server is integrated with Prometheus and Grafana. Access the dashboards at http://localhost:9090 and http://localhost:3000, respectively.

What security measures are in place?

The server uses isolated containers, SSL/TLS for secure communication, Redis password protection, rate limiting, and regular security updates.

How do I contribute to the project?

Fork the repository, create a feature branch, commit your changes, push to the branch, and create a Pull Request.