Columbia MCP Servers
by smithery-ai
This repository provides the deployment infrastructure and server implementations for Columbia's Model Context Protocol (MCP) servers. It includes Docker-based deployment, monitoring tools, and security features.
Last updated: N/A
What is Columbia MCP Servers?
Columbia MCP Servers is a collection of server implementations and deployment infrastructure for the Model Context Protocol (MCP). It provides a robust and scalable foundation for managing and serving model context data.
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 the provided scripts and monitoring tools. Detailed instructions are available in the documentation.
Key features of Columbia MCP Servers
Docker-based Deployment
High Availability
Monitoring
Security
Scalability
Backup & Recovery
Use cases of Columbia MCP Servers
Serving model context data
AI-related services
Data services
Tool services
FAQ from Columbia MCP Servers
What are the key requirements for running these servers?
What are the key requirements for running these servers?
You need Docker 20.10+, Docker Compose 2.0+, Node.js 18+, and Redis 6+.
How is security ensured?
How is security ensured?
All services run in isolated containers with secure communication via SSL/TLS, Redis password protection, rate limiting, and regular security updates.
How can I monitor the deployment?
How can I monitor the deployment?
Access the Grafana dashboard at http://localhost:3000 and the Prometheus dashboard at http://localhost:9090.
How can I contribute to this project?
How can I contribute to this project?
Fork the repository, create a feature branch, commit your changes, push to the branch, and create a Pull Request.
Where can I find more detailed deployment instructions?
Where can I find more detailed deployment instructions?
Refer to the Deployment Guide located in the docs/DEPLOYMENT.md file.