Can I use this for automated sentiment analysis?

Yes, by streaming live social posts into Claude, you can perform real-time sentiment analysis, summarization, or pattern recognition.

Does this require a specific server setup?

It functions as an MCP (Model Context Protocol) server, enabling Claude to interact with the social stream via standardized request handlers.

What social networks does Pulse MCP Stream support?

It is primarily built for the AT Protocol (Bluesky), utilizing its firehose and subscription-based monitoring capabilities.

How does engagement delta monitoring work?

It measures the change in likes, reposts, and replies over a specific interval to calculate the 'velocity' of a post, helping you identify content that is going viral.

Where is the gathered data stored?

Pulse MCP Stream includes a batch exporter specifically designed for DuckDB, allowing you to store and query large volumes of social data locally.

Pulse MCP Stream

Name: Pulse MCP Stream
Author: plurigrid

byplurigrid

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소셜 미디어 관리

Monitors real-time social media streams and engagement metrics via the Model Context Protocol (MCP).

소개

Pulse MCP Stream is a specialized monitoring tool for the AT Protocol (Bluesky) that provides real-time access to social interactions, engagement deltas, and trending topics. By integrating directly with Claude via MCP, it allows users to subscribe to specific actors, filter the global firehose, and export data directly to DuckDB for advanced analytical processing. It is designed for building cognitive surrogates or automated social listening tools that require live data feeds and topological pattern detection within social networks.

주요 기능

Live engagement delta monitoring with velocity-based viral detection
2 GitHub stars
Network-wide trend detection using configurable time windows and mention thresholds
Advanced firehose filtering for specific authors, collections, and text content
Real-time actor subscription for tracking posts, replies, and mentions
Batch exporting to DuckDB for persistent data analysis and historical querying

사용 사례

Detecting viral content and emerging trends within specific social communities
Archiving social interaction data for academic research or market sentiment analysis
Building real-time social listening dashboards and automated alert systems

소개

주요 기능

Live engagement delta monitoring with velocity-based viral detection
2 GitHub stars
Network-wide trend detection using configurable time windows and mention thresholds
Advanced firehose filtering for specific authors, collections, and text content
Real-time actor subscription for tracking posts, replies, and mentions
Batch exporting to DuckDB for persistent data analysis and historical querying

사용 사례

Detecting viral content and emerging trends within specific social communities
Archiving social interaction data for academic research or market sentiment analysis
Building real-time social listening dashboards and automated alert systems