mcp-server-trail-project
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This project demonstrates integration between a client application and an MCP (Model Context Protocol) server, allowing for AI-powered interactions with tool execution capabilities.
The Model Context Protocol (MCP) Server Project is designed to facilitate interactions between a client application and an MCP server, leveraging AI capabilities. The system comprises a client that connects to Google's Gemini AI model and an MCP server that registers and provides tools for the AI model to use. Users can interact with the AI model through a command-line interface, enabling the AI to respond to queries and execute specialized tools hosted on the MCP server, such as posting tweets or performing calculations. The architecture includes a client directory for the client application and a server directory for the MCP server, each with its own environment variables and dependencies.
Features
- AI chat interface using Google's Gemini model
- Tool execution through MCP protocol
- Available tools: addTwoNumbers and createPost
Tools
addTwoNumbers
Perform two numbers addition
createPost
Create a post on Twitter/X