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ameyshrotri
mcp-server-example

ameyshrotri/mcp-server-example

3.1

communication ai_chatbot

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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.

Tools

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Resources

0

Prompts

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AI Agent with MCP Server & Gemini API 🚀 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 ✔ MCP Server Integration – Structured tool-based AI interactions ✔ Express.js Backend – Robust API endpoints for SSE & HTTP messaging ✔ Gemini AI Integration – Advanced LLM reasoning for dynamic responses ✔ Twitter (X) Post Automation – Post directly via API (using createPost tool) ✔ Real-time Communication – Uses Server-Sent Events (SSE) for live AI responses

Use Cases 📢 Auto-posting on Twitter (X) – Agent can compose & publish tweets 🧮 Dynamic Calculations – Built-in tools like addTwoNumbers 💬 Conversational AI – Extendable with more tools & Gemini prompts

Tech Stack 🔹 Backend: Node.js, Express.js 🔹 AI Framework: Model Context Protocol (MCP) 🔹 LLM: Google Gemini API 🔹 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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