ameyshrotri/mcp-server-example
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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 ๐ 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 โ MCP Server Integration โ Structured tool-based AI interactions โ Express.js Backend โ Robust API endpoints for SSE & HTTP messaging โ Gemini AI Integration โ Advanced LLM reasoning for dynamic responses โ Twitter (X) Post Automation โ Post directly via API (using createPost tool) โ Real-time Communication โ Uses Server-Sent Events (SSE) for live AI responses
Use Cases ๐ข Auto-posting on Twitter (X) โ Agent can compose & publish tweets ๐งฎ Dynamic Calculations โ Built-in tools like addTwoNumbers ๐ฌ Conversational AI โ Extendable with more tools & Gemini prompts
Tech Stack ๐น Backend: Node.js, Express.js ๐น AI Framework: Model Context Protocol (MCP) ๐น LLM: Google Gemini API ๐น 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)
