What is the XActions MCP Server?

The XActions MCP (Model Context Protocol) server is a bridge that allows AI agents like Claude, ChatGPT, and custom LLMs to interact with Twitter automation tools. It exposes 20+ tools for scraping, following, unfollowing, liking, and more.

Which AI tools are compatible with XActions?

XActions works with ChatGPT/GPT-4, Claude Desktop, Cursor AI, VS Code GitHub Copilot, and any custom AI agent that supports MCP or can make API calls.

Can I build an AI Twitter bot with XActions?

Yes! XActions provides all the building blocks for AI Twitter bots including scraping, automation primitives, and LLM integration. Combine with any language model to create auto-repliers, content curators, and engagement bots.

AI Integration - XActions | GPT, Claude & LLM Twitter Automation

🔌 MCP Server Integration

The Model Context Protocol (MCP) is the standard for connecting AI assistants to external tools. XActions implements a full MCP server that exposes Twitter automation capabilities to any compatible AI agent.

What is MCP?

MCP (Model Context Protocol) is an open protocol developed by Anthropic that enables AI assistants to securely interact with external data sources and tools. It's the bridge between language models and real-world actions.

Standardized: Works with any MCP-compatible client
Secure: Controlled access to automation tools
Powerful: Full Twitter automation capabilities
Open Source: Inspect and customize the code

XActions MCP Capabilities

The XActions MCP server exposes 20+ tools for comprehensive Twitter automation:

Scraping: Followers, following, tweets, likes, profiles
Actions: Follow, unfollow, like, unlike, retweet
Monitoring: Track accounts, detect unfollowers
Search: Find users by keywords, hashtags
Analytics: Growth metrics, engagement data

💡 With MCP, your AI assistant can research, analyze, and act on Twitter — all autonomously!

🛠️ Compatible AI Tools

XActions works with all major AI platforms and tools. Whether you're using a commercial AI assistant or building custom agents, we've got you covered.

💬

ChatGPT / GPT-4

OpenAI's flagship model via API integration

🟣

Claude Desktop

Native MCP support for seamless integration

📝

Cursor AI

AI-powered code editor with MCP tools

🚀

VS Code Copilot

GitHub Copilot in VS Code

🤖

Custom Agents

Build your own with any LLM

⚡

LangChain

Popular LLM framework support

Integration Options

MCP Protocol: Direct integration via Model Context Protocol
REST API: HTTP endpoints for any programming language
Node.js SDK: Native JavaScript/TypeScript library
CLI: Command-line interface for scripting
Webhooks: Event-driven automation triggers

🎯 Use Cases for AI Agents

Discover how AI agents can transform your X/Twitter presence with intelligent automation powered by machine learning and natural language processing.

🛡️ Automated Content Moderation

Let AI analyze your followers and engagement for spam, bots, and low-quality accounts. Automatically clean your following list based on intelligent criteria.

Detect bot accounts using ML pattern recognition
Identify spam followers and fake engagement
Auto-unfollow inactive accounts (no posts in 6+ months)
Filter followers by engagement quality
Flag suspicious accounts for review

👥 Smart Follower Management

AI-driven strategies for growing and maintaining a high-quality follower base. Let machine learning optimize your following decisions.

Intelligently follow users who engage with similar content
Prioritize high-value accounts in your niche
Auto-unfollow non-followers with smart delays
Track follower/following ratio optimization
Segment followers by engagement level

💬 AI-Driven Engagement

Let your AI agent handle engagement tasks intelligently. From liking relevant content to finding conversation opportunities.

Auto-like tweets based on content relevance
Find and engage with trending topics in your niche
Monitor mentions and keywords for engagement opportunities
Smart reply suggestions powered by LLMs
Engagement timing optimization

⏰ Scheduled Automation via AI

Create intelligent automation workflows that adapt to your account's needs. Let AI decide when and what actions to take.

Adaptive scheduling based on audience activity
Automated cleanup routines (weekly unfollows)
Growth campaigns with AI optimization
Event-triggered actions (new follower → analyze)
Rate-limit aware execution

📊 AI Analytics & Insights

Let AI analyze your Twitter data and provide actionable insights. Natural language reports on your account health and growth.

Natural language growth reports
Follower quality scoring
Engagement pattern analysis
Competitor tracking and insights
Anomaly detection (sudden unfollows)

💻 Code Examples

Get started quickly with these integration examples. XActions makes it easy to connect AI agents to Twitter automation.

Claude Desktop MCP Configuration

            JSON
            claude_desktop_config.json
          

// Add to your Claude Desktop config
{
  "mcpServers": {
    "xactions": {
      "command": "npx",
      "args": ["xactions", "mcp"],
      "env": {
        "TWITTER_AUTH_TOKEN": "your_token"
      }
    }
  }
}
          

Node.js Integration

            JavaScript
            ai-agent.js
          

import { XActions } from 'xactions';
import OpenAI from 'openai';

// Initialize XActions
const xactions = new XActions({
  authToken: process.env.TWITTER_AUTH_TOKEN
});

// Initialize OpenAI
const openai = new OpenAI();

// AI-powered follower analysis
async function analyzeFollowers() {
  // Get followers data
  const followers = await xactions.scrapeFollowers({
    username: 'your_handle',
    limit: 100
  });
  
  // Let GPT analyze the data
  const analysis = await openai.chat.completions.create({
    model: 'gpt-4',
    messages: [{
      role: 'user',
      content: `Analyze these followers and identify 
        potential bots or low-quality accounts: 
        ${JSON.stringify(followers)}`
    }]
  });
  
  return analysis.choices[0].message.content;
}
          

Python with LangChain

            Python
            twitter_agent.py
          

from langchain.agents import Tool, AgentExecutor
from langchain_openai import ChatOpenAI
import subprocess
import json

# Define XActions tools for LangChain
def scrape_followers(username: str) -> str:
    result = subprocess.run(
        ["npx", "xactions", "scrape-followers", 
         "--username", username, "--json"],
        capture_output=True, text=True
    )
    return result.stdout

# Create LangChain tool
tools = [
    Tool(
        name="ScrapeFollowers",
        func=scrape_followers,
        description="Get followers for a Twitter user"
    )
]

# Build AI agent
llm = ChatOpenAI(model="gpt-4")
agent = AgentExecutor(tools=tools, llm=llm)
          

CLI Automation Script

            Bash
            daily-cleanup.sh
          

#!/bin/bash
# Daily AI-powered Twitter cleanup

# Scrape non-followers
npx xactions unfollow-non-followers \
  --limit 50 \
  --delay 30 \
  --dry-run false

# Detect new unfollowers
npx xactions detect-unfollowers \
  --notify email

# Log results
echo "Cleanup completed at $(date)" >> cleanup.log
          

🔗 API for AI

XActions provides a comprehensive programmatic API designed for AI agent integration. Build autonomous Twitter bots, integrate with your existing workflows, or create custom automation pipelines.

Available API Endpoints

RESTful API endpoints for all automation features:

GET /api/scrape/followers/:username

GET /api/scrape/following/:username

GET /api/scrape/tweets/:username

POST /api/actions/follow

POST /api/actions/unfollow

POST /api/actions/like

GET /api/monitor/unfollowers

GET /api/search/users?q=keyword

API Features

JSON Response: All endpoints return structured JSON
Rate Limiting: Built-in rate limiting to avoid bans
Webhooks: Subscribe to events (new follower, unfollower)
Pagination: Handle large datasets efficiently
Error Handling: Detailed error messages for debugging

🚀 Getting Started with AI

Step 1: Install XActions

Install XActions globally using npm:

npm install -g xactions

Step 2: Authenticate

Connect your Twitter account:

xactions auth

Step 3: Configure MCP

Add XActions to your AI tool's MCP configuration (see examples above).

Step 4: Start Automating

Your AI agent now has access to all XActions tools. Ask it to scrape followers, unfollow non-followers, or analyze your Twitter data!

📖 Need more help? Check out our complete MCP Server documentation

❓ AI Integration FAQ

Is XActions free for AI integration?

Yes! XActions is 100% open source and free to use. The MCP server, API, and all automation tools are available at no cost. Premium SaaS features are optional.

Do I need the Twitter API?

No! XActions uses browser automation, completely bypassing the expensive Twitter API. This means no API fees, no rate limit hassles, and full feature access.

Is this safe for my Twitter account?

XActions includes built-in rate limiting and delay mechanisms to mimic human behavior. However, aggressive automation can trigger Twitter's spam detection. Use responsibly and follow our recommended settings.

Can I build a commercial product with XActions?

Yes! XActions is MIT licensed, so you can use it for commercial purposes. Attribution is appreciated but not required.

Which LLM works best with XActions?

Any modern LLM works great! GPT-4, Claude 3, and similar models can understand and use the XActions tools effectively. For MCP support, Claude Desktop is recommended.

Can I contribute to XActions?

Absolutely! We welcome contributions. Check out our GitHub repository to get started. Bug fixes, new features, and documentation improvements are all appreciated.

🤖 AI-Powered X/Twitter Automation