X API AI Agent – Personal Learning Project

X API AI Agent – Personal Learning Project

AI agent that can post on X(twitter) with the help of MCP(Model Text Protocol) Server.

sayandebnath-creator

Developer Tools
Visit Server

README

X API AI Agent – Personal Learning Project

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:

Project Demo

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
MCP Package Docs Server

MCP Package Docs Server

Facilitates LLMs to efficiently access and fetch structured documentation for packages in Go, Python, and NPM, enhancing software development with multi-language support and performance optimization.

Featured
Local
TypeScript
Claude Code MCP

Claude Code MCP

An implementation of Claude Code as a Model Context Protocol server that enables using Claude's software engineering capabilities (code generation, editing, reviewing, and file operations) through the standardized MCP interface.

Featured
Local
JavaScript
@kazuph/mcp-taskmanager

@kazuph/mcp-taskmanager

Model Context Protocol server for Task Management. This allows Claude Desktop (or any MCP client) to manage and execute tasks in a queue-based system.

Featured
Local
JavaScript
Linear MCP Server

Linear MCP Server

Enables interaction with Linear's API for managing issues, teams, and projects programmatically through the Model Context Protocol.

Featured
JavaScript
mermaid-mcp-server

mermaid-mcp-server

A Model Context Protocol (MCP) server that converts Mermaid diagrams to PNG images.

Featured
JavaScript
Jira-Context-MCP

Jira-Context-MCP

MCP server to provide Jira Tickets information to AI coding agents like Cursor

Featured
TypeScript
Linear MCP Server

Linear MCP Server

A Model Context Protocol server that integrates with Linear's issue tracking system, allowing LLMs to create, update, search, and comment on Linear issues through natural language interactions.

Featured
JavaScript
Sequential Thinking MCP Server

Sequential Thinking MCP Server

This server facilitates structured problem-solving by breaking down complex issues into sequential steps, supporting revisions, and enabling multiple solution paths through full MCP integration.

Featured
Python