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fluyeporlaweb / mcp-x-intelligence

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X/Twitter research MCP for Claude, Cursor, Windsurf and any MCP-compatible AI agent

ai-agent claude content-strategy cursor mcp
17
5
85% credibility
Found May 28, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

mcp-x-intelligence is a free research tool that gives AI assistants (like Claude, Cursor, or Windsurf) the ability to search and analyze X/Twitter content. It offers four research tools: finding viral posts by keyword, analyzing any account's stats and strategy, tracking trending topics by country, and discovering top accounts in any niche. The tool runs as a hosted service — users only need a free API key from twitterapi.io and a simple one-time configuration in their AI client. It's read-only (no posting or DMs), making it safe for content creators, marketers, and researchers who want X data without the complexity of the official API.

How It Works

1
💡 You discover a new way to research X/Twitter

You hear about a tool that lets your AI assistant search and analyze X/Twitter content without any complicated setup.

2
🔑 You get a free API key

You sign up for a free account at twitterapi.io and copy your key — this is the only step that requires creating an account.

3
🔌 You connect it to your AI assistant

You add a simple configuration to your AI tool (like Claude, Cursor, or Windsurf) so it can use the new research capabilities.

4
🚀 Your AI assistant gains superpowers

Suddenly your AI can search viral posts, analyze accounts, track trends, and find niche leaders — all from conversation.

5
You choose what to research
📊
Analyze any account

Ask your AI to analyze an X profile and learn about their followers, engagement, and best posts.

🔥
Find viral content

Search for trending posts about any topic with filters for likes, retweets, and time.

🌍
Track trending topics

See what's trending right now in any country — worldwide, USA, Spain, Mexico, and more.

👑
Discover niche leaders

Find the top accounts in any topic or industry, sorted by follower count.

✅ You get actionable insights instantly

Your AI assistant returns detailed, structured results you can use for content ideas, competitive analysis, or research.

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AI-Generated Review

What is mcp-x-intelligence?

This is a Model Context Protocol server that gives AI agents like Claude, Cursor, and Windsurf the ability to research X/Twitter without leaving the chat. Built in TypeScript and deployed on Cloudflare Workers, it wraps twitterapi.io into four read-only tools: search for viral posts by keyword, analyze any account's followers and engagement, pull trending topics by country, and find top accounts in any niche. You get pure research capabilities—no posting, no DMs, just data.

Why is it gaining traction?

The official X API requires developer approval, OAuth setup, and custom integration work. This project eliminates all that friction. One API key from twitterapi.io, a simple config block, and your AI agent can search viral content, profile competitors, or track trends in real time. It's MCP-native out of the box, meaning no glue code or custom wrappers. The hosted option via MCPize lets non-technical users skip setup entirely—50 free calls per month with no API key required.

Who should use this?

Content creators hunting for viral posts in their niche before writing their next thread. Marketers analyzing competitor accounts and monitoring real-time trends. Developers building research pipelines or content strategy tools backed by live X data. Researchers who need social media data without the official API's approval process and pricing.

Verdict

This is a practical, well-documented tool for a specific workflow—X research via AI agents—and it delivers exactly that with minimal friction. However, with only 17 stars and a 0.85% credibility score, it's early-stage and unproven at scale. The documentation is solid and the hosted option lowers the barrier to entry, but teams should test the twitterapi.io rate limits against their actual needs before committing. Worth trying for the use case it targets; just don't bet production workflows on it yet.

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