Columbia MCP Servers

What is Columbia MCP Servers? Columbia MCP Servers is a repository that contains the deployment infrastructure and server implementations for Columbia's Model Context Protocol (MCP) servers, designed to facilitate scalable and secure service deployment. How to use Columbia MCP Servers? To use Columbia MCP Servers, clone the repository, run the setup script, configure environment variables, deploy to production, and monitor the deployment using provided scripts. Key features of Columbia MCP Servers? Docker-based deployment for containerized services High availability with load balancing and service replication Integrated monitoring with Prometheus and Grafana Security features including SSL/TLS and authentication Scalability through horizontal scaling capabilities Automated backup and recovery system Use cases of Columbia MCP Servers? Deploying scalable microservices using Docker. Monitoring service health and performance metrics. Implementing secure and high-availability server architectures. FAQ from Columbia MCP Servers? What technologies are required to run Columbia MCP Servers? You need Docker, Docker Compose, Node.js, and Redis to run the servers. Is there documentation available? Yes! Detailed documentation is provided in the repository, including deployment guides and migration plans. How can I contribute to the project? You can contribute by forking the repository, creating a feature branch, and submitting a pull request.

As an MCP (Model Context Protocol) server, Columbia MCP Servers enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use Columbia MCP Servers, clone the repository, run the setup script, configure environment variables, deploy to production, and monitor the deployment using provided scripts. Key features of Columbia MCP Servers? Docker-based deployment for containerized services High availability with load balancing and service replication Integrated monitoring with Prometheus and Grafana Security features including SSL/TLS and authentication Scalability through horizontal scaling capabilities Automated backup and recovery system Use cases of Columbia MCP Servers? Deploying scalable microservices using Docker. Monitoring service health and performance metrics. Implementing secure and high-availability server architectures. FAQ from Columbia MCP Servers? What technologies are required to run Columbia MCP Servers? You need Docker, Docker Compose, Node.js, and Redis to run the servers. Is there documentation available? Yes! Detailed documentation is provided in the repository, including deployment guides and migration plans. How can I contribute to the project? You can contribute by forking the repository, creating a feature branch, and submitting a pull request.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.