About Mcp Server Example
Mcp Server Example is a conversational AI agent built with Express.js and Gemini API that automates Twitter (X) posts and handles tool-based interactions. It is intended for users who want to publish posts or add custom tools to an MCP-backed agent.
Key features
- 01Twitter (X) post creation
- 02Tool-based interactions
- 03Gemini API responses
- 04SSE live messaging
- 05Addition and calculation tool
Use cases
- 01Compose and publish Twitter (X) posts
- 02Calculate sums with a built-in tool
- 03Extend an agent with additional tools
MCP support
The MCP server exposes structured tools, including createPost and addTwoNumbers, for an AI agent to invoke. It supports SSE and HTTP messaging.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEAI 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)
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.