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RanaPriyansh
RanaPriyanshCOMMUNITY
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xactions-mcp-server

Automate Twitter/X scraping, posting, and analysis via an MCP server.

Updated Mar 21, 2026
Search Tags:#automation#workflow#social media#AI#twitter#sentiment#x
One-click install
npx skills add https://github.com/RanaPriyansh/XActions --skill xactions-mcp-server-ranapriyansh
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: xactions-mcp-server
Source: https://github.com/RanaPriyansh/XActions/tree/main/skills/xactions-mcp-server
Command: npx skills add https://github.com/RanaPriyansh/XActions --skill xactions-mcp-server-ranapriyansh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires nodejs, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a complete MCP server setup with over 68 tools to automate Twitter/X activities for AI agents, streamlining social media management and analysis.

Core Features & Use Cases

  • Social Media Automation: Scraping profiles, followers, tweets, and posting actions like tweets, likes, retweets, and DMs.
  • Content Analysis: Sentiment analysis, reputation monitoring, competitor and brand analysis.
  • Workflow Management: Creating, running, and listing complex social media workflows and actions.
  • Use case: Automate daily engagement tasks such as following users, analyzing sentiment of brand mentions, and scheduling tweets for product launches.
  • Technical Scope: Operates via Node.js and requires no API keys, with support for various clients and integrations.

Quick Start

Set up the MCP server with your authentication token and configure your client (e.g., Claude Desktop, Cursor) following the provided instructions, then start automating social media tasks instantly.

Frequently Asked Questions about xactions-mcp-server

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate Twitter engagement for an AI agent without using external APIs?▼

You can automate Twitter engagement without external APIs by using an MCP server that runs locally on Node.js, enabling AI agents to scrape profiles, post tweets, and manage DMs using local credentials.

What is the best way to run sentiment analysis on brand mentions via an MCP server?▼

The best way to run sentiment analysis on brand mentions is through a local MCP server toolkit that directly scrapes Twitter data, allowing AI agents to monitor reputation and evaluate competitor activity.

Do I need official API keys to manage Twitter workflows with Node.js?▼

No, you do not need official API keys to manage Twitter workflows; this toolkit operates entirely on Node.js using local authentication tokens, requiring no dependency on external social media APIs.

Can I use this social media automation toolkit with clients like Claude Desktop or Cursor?▼

Yes, you can use this social media automation toolkit with clients like Claude Desktop or Cursor by configuring the local MCP server with your authentication token and following the provided setup instructions.

What kinds of social media workflows can AI agents perform through an MCP server?▼

AI agents can perform social media workflows including scraping followers, posting actions like tweets and retweets, sending DMs, and creating complex automated engagement sequences for brand management.

Are there limitations when automating X social media tasks without official API access?▼

Automating X social media tasks without official API access requires local Node.js execution and relies on scraping methods, meaning operations are bound by local credential authentication and client-side rate limits.

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