A demonstration of Model Context Protocol (MCP) server and client that uses Google Gemini to post tweets (formerly on Twitter, now X) and run dynamic tools.
A practical demo of using the Model Context Protocol (MCP) to integrate Google Gemini for generating tweets and posting them to X (formerly Twitter). Built with Node.js, Express, and twitter-api-v2, it showcases real-time AI interaction, secure API usage, and tool execution in an MCP-compliant environment.
Designing seamless interactions between the MCP server, Google Gemini, and Twitter’s API posed multiple technical hurdles. Ensuring secure and consistent OAuth authentication for dynamic tweet posting required careful token handling and API rate-limit management. Building a responsive tool execution flow within the Model Context Protocol demanded custom logic for maintaining conversation state and tool outputs. Lastly, real-time communication between the client and Gemini, while keeping latency low, required efficient streaming strategies and backend optimization.