Do I need a Twitter API key to use this skill?

While the skill performs best with a Twitter Bearer Token for official API access, it includes a fallback mechanism using Nitter scraping for basic profile and post retrieval.

How does the skill handle data persistence?

The server uses a local DuckDB database (twitter_cache.db) to cache profiles, posts, and threads, allowing for efficient re-analysis and reduced API calls.

Can this skill track how a user's interests change over time?

Yes, the x_analyze_profile tool generates a temporal arc and emotional trajectory, showing how a user's themes and sentiment evolve across a defined lookback period.

What is 'emergence detection' in this context?

It is a specialized tool that scans a set of users to find shared keywords or phrases that are rapidly increasing in frequency, helping you identify new memes or subcultures early.

X/Twitter Analyzer & MCP Server

Name: X/Twitter Analyzer & MCP Server
Author: plurigrid

byplurigrid

•

Gestión de Redes Sociales

Analyzes X/Twitter profiles, tracks conversation threads, and maps social graphs for deep behavioral and cultural insights.

The x-twitter-mcp skill empowers Claude to act as a sophisticated social intelligence agent by providing structured access to X (Twitter) data through the Model Context Protocol. It enables deep profile analysis, sentiment tracking, and the mapping of social connections to identify emergent trends and subcultures. By utilizing a hybrid architecture of the Twitter API, web scraping fallbacks, and local DuckDB caching, this skill allows users to extract full conversation threads and detect information cascades, making it ideal for researchers and developers analyzing digital social dynamics.

Características Principales

01Hybrid data fetching with API v2 and scraping fallbacks

02Emergence detection for identifying memes and subcultures

03Complete conversation thread extraction and quote tracking

04Social graph mapping to identify influence and connections

058 GitHub stars

06Deep profile analysis and temporal interest mapping

Casos de Uso

01Mapping information cascades and viral dynamics within specific niches

02Automated sentiment analysis and topic clustering for brand or tech monitoring

03Analyzing user growth patterns and emotional development arcs over time

Características Principales

01Hybrid data fetching with API v2 and scraping fallbacks

02Emergence detection for identifying memes and subcultures

03Complete conversation thread extraction and quote tracking

04Social graph mapping to identify influence and connections

058 GitHub stars

06Deep profile analysis and temporal interest mapping

Casos de Uso

01Mapping information cascades and viral dynamics within specific niches

02Automated sentiment analysis and topic clustering for brand or tech monitoring

03Analyzing user growth patterns and emotional development arcs over time