X API AI Agent – Personal Learning Project
About
AI agent that can post on X(twitter) with the help of MCP(Model Text Protocol) Server.
Explore
- X API integration with secured token-based authentication.
- MCP server handling asynchronous data flows.
- A minimal AI agent that reads input, processes logic, and performs actions.
- Tool interface to simulate user interactions or automate tasks.
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This repository is a personal project built to explore and understand the workings of the X API by integrating it with an MCP server to power a small AI agent. The aim is to gain practical knowledge through a single-use implementation while maintaining platform security and responsible development practices.
🎯 Project Purpose
- To explore and integrate the X API using an MCP server.
- To create a lightweight AI agent that interacts with tools and processes data intelligently.
- To improve my backend integration skills and AI workflow understanding.
- To ensure secure and ethical usage of the X platform in all interactions.
⚙️ How It Works
- The MCP server acts as the backend host, handling API requests and AI logic.
- The X API is called via authenticated endpoints to retrieve and send data.
- A connected tool (e.g., a chatbot interface or custom CLI) interacts with the AI agent.
- The AI agent makes decisions or responses based on received data and tool input.
🧠 Key Features
- X API integration with secured token-based authentication.
- MCP server handling asynchronous data flows.
- A minimal AI agent that reads input, processes logic, and performs actions.
- Tool interface to simulate user interactions or automate tasks.
🔐 Security
- API credentials are stored in environment variables using .env.
- Requests are rate-limited and logged for traceability.
- The project follows best practices to ensure platform integrity and data privacy.
🎥 Project Preview
Here’s a quick preview of the AI agent in action, using the X API via the MCP server:
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