MCP Servers
This section provides comprehensive documentation about Model Context Protocol (MCP) servers, including their architecture, capabilities, deployment options, and best practices.
What is an MCP Server?
A Model Context Protocol (MCP) server is a standardized API service that enables communication with AI models using a consistent protocol. MCP servers act as an intermediary between your applications and various AI models, providing a unified interface regardless of the underlying model provider.
Key Features
- Standardized API: Consistent interface for interacting with various AI models
- Model Agnostic: Support for multiple model providers and architectures
- Contextual Memory: Built-in context management for maintaining conversation state
- Scalable Architecture: Designed to handle high throughput with efficient resource utilization
- Extensible: Plugin support for adding custom functionality and integrations
Table of Contents
- Overview - High-level architecture and concepts
- Getting Started - Quick start guide to deploy your first MCP server
- Configuration - Detailed configuration options and environment variables
- Monitoring - Tools and techniques for monitoring server performance
- Troubleshooting - Common issues and their solutions
Use Cases
MCP servers are ideal for:
- Application Integration: Embed AI capabilities into your applications
- Model Orchestration: Coordinate multiple models in a unified workflow
- Context Management: Maintain conversation history and state across requests
- Performance Optimization: Optimize resource usage and response times
- Compliance & Security: Centralized enforcement of data handling policies
Server Templates
MCP-Cloud offers several pre-configured server templates to meet different needs:
| Template | Description | Use Case |
|---|---|---|
| Default | Standard MCP server with basic functionality | General purpose AI integration |
| AWS KB Retrieval | Integrates with AWS Knowledge Bases | RAG applications with AWS |
| Brave Search | Web and local search capabilities | Search-augmented applications |
| Google Drive | Access and search files from Google Drive | Document processing |
| GitHub | Interact with GitHub repositories | Code analysis and management |
| PostgreSQL | Connect to and query PostgreSQL databases | Data-driven applications |
| Playwright | Browser automation and screenshot service | Web testing and automation |
For detailed information about each template, refer to the Configuration section.
© 2025
mcp-cloud.ai
mcp-cloud.ai