mcp-server-example
AI Agent with MCP Server & Gemini API is a conversational AI agent that automates Twitter (X) posts and performs dynamic interactions using Model Context Protocol (MCP), Express.js, and Gemini API.
AI Agent with MCP Server & Gemini API š A conversational AI agent powered by Model Context Protocol (MCP), Express.js, and Gemini API that can automate Twitter (X) posts and perform dynamic interactions.
Key Features ā MCP Server Integration ā Structured tool-based AI interactions ā Express.js Backend ā Robust API endpoints for SSE & HTTP messaging ā Gemini AI Integration ā Advanced LLM reasoning for dynamic responses ā Twitter (X) Post Automation ā Post directly via API (using createPost tool) ā Real-time Communication ā Uses Server-Sent Events (SSE) for live AI responses
Use Cases š¢ Auto-posting on Twitter (X) ā Agent can compose & publish tweets š§® Dynamic Calculations ā Built-in tools like addTwoNumbers š¬ Conversational AI ā Extendable with more tools & Gemini prompts
Tech Stack š¹ Backend: Node.js, Express.js š¹ AI Framework: Model Context Protocol (MCP) š¹ LLM: Google Gemini API š¹ Real-time Comms: Server-Sent Events (SSE)
How It Works User sends a request (e.g., "Post on X: Hello World!")
MCP Server processes the request using defined tools
Gemini API enhances responses (if needed)
Twitter API publishes the post (via createPost tool)
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