MCP Server POC
This project demonstrates how to create and use a Model Context Protocol (MCP) server that can provide custom tools and resources to AI assistants like Claude and others that support the MCP standard. The server includes: - Simple math operations (addition) - Dynamic greeting resource - Web crawling capability using the crawl4ai library
What is MCP Server POC?
what is MCP Server POC? MCP Server POC is a proof-of-concept implementation of a Model Context Protocol (MCP) server designed to enhance AI assistant capabilities by providing custom tools and resources. how to use MCP Server POC? To use the MCP Server, clone the repository, set up a virtual environment, install the required packages, and run the server using the command python first-mcp.py. For integration with Cursor IDE, configure the mcp.json file accordingly. key features of MCP Server POC? Simple math operations (addition) Dynamic greeting resource Web crawling capability using the crawl4ai library use cases of MCP Server POC? Enhancing AI assistants with custom tools for specific tasks. Providing personalized greetings to users. Crawling web content for AI assistants to utilize. FAQ from MCP Server POC? What programming language is used for MCP Server POC? The server is implemented in Python. Is there a specific version of Python required? Yes, Python 3.8 or higher is required. How can I troubleshoot issues with the MCP server? Ensure all required packages are installed, check the configuration file for correct paths, and verify that the server is running with the correct Python version.
As an MCP (Model Context Protocol) server, MCP Server POC enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use MCP Server POC
To use the MCP Server, clone the repository, set up a virtual environment, install the required packages, and run the server using the command python first-mcp.py. For integration with Cursor IDE, configure the mcp.json file accordingly. key features of MCP Server POC? Simple math operations (addition) Dynamic greeting resource Web crawling capability using the crawl4ai library use cases of MCP Server POC? Enhancing AI assistants with custom tools for specific tasks. Providing personalized greetings to users. Crawling web content for AI assistants to utilize. FAQ from MCP Server POC? What programming language is used for MCP Server POC? The server is implemented in Python. Is there a specific version of Python required? Yes, Python 3.8 or higher is required. How can I troubleshoot issues with the MCP server? Ensure all required packages are installed, check the configuration file for correct paths, and verify that the server is running with the correct Python version.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like MCP Server POC can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like MCP Server POC provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.