mcp-server-example
If you are the rightful owner of mcp-server-example and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
This repository contains an implementation of a Model Context Protocol (MCP) server for educational purposes, demonstrating how to build a functional MCP server that can integrate with various LLM clients.
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. It acts as a universal connector for AI applications, allowing seamless integration of AI models with different data sources and tools. The MCP server follows a client-server architecture, enabling host applications to connect to multiple servers. MCP hosts are programs like Claude Desktop or IDEs that access data through MCP, while MCP clients maintain direct connections with servers. MCP servers are lightweight programs that expose specific capabilities through the standardized protocol, accessing both local and remote data sources. The protocol provides three main capabilities: Resources, Tools, and Prompts, which facilitate data access, function execution, and task-specific guidance, respectively. The system requires Python 3.10 or higher, MCP SDK 1.2.0 or higher, and the 'uv' package manager for setup and operation.
Features
- Standardized integration with LLMs
- Flexibility to switch between LLM providers
- Secure data handling within infrastructure
- Access to both local and remote data sources
- Pre-built integrations for easy connectivity
