Can I integrate this with my existing Python or Ruby workflows?

Yes, the skill includes specialized client implementations for both Python and Ruby, allowing you to query the monitored data within your preferred development environment.

Does this require a constant connection?

Yes, for real-time monitoring, the MCP server maintains a WebSocket connection to the firehose to ingest events as they happen.

How does the DuckDB integration benefit social monitoring?

DuckDB allows for complex analytical queries on high-volume stream data with minimal overhead, enabling real-time calculation of metrics like post velocity and word frequency.

Which social networks does this skill support?

Currently, pulse-mcp-stream is optimized for the AT Protocol (Bluesky) using the firehose subscription service for real-time event monitoring.

What is 'post velocity' and why is it tracked?

Post velocity measures the number of interactions per minute. Tracking it helps the system identify which posts are gaining traction or going viral in real-time.

Pulse Social Stream Monitor

Name: Pulse Social Stream Monitor
Author: plurigrid

byplurigrid

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Analíticas y Monitorización

Monitors real-time social media streams via MCP and persists engagement data using DuckDB for advanced analytical insights.

Pulse-MCP-stream is a high-performance monitoring tool designed to provide real-time visibility into social interactions and network patterns. By leveraging the Model Context Protocol (MCP) and the AT Protocol Firehose, it captures live mentions, engagement deltas, and trending topics, storing them in a local DuckDB instance for rapid analysis. This skill is ideal for developers building cognitive surrogates or automated response systems that need to stay synchronized with live social data, offering built-in capabilities for calculating post velocity and detecting emerging trends across decentralized social networks.

Características Principales

01Automated engagement velocity tracking and post-virality detection

027 GitHub stars

03High-performance analytical persistence using DuckDB for local data storage

04Standardized MCP server interface for seamless AI-driven data querying

05Real-time social firehose streaming via AT Protocol (Bluesky) integration

06Multi-language client support including TypeScript, Python, and Ruby implementations

Casos de Uso

01Monitoring brand mentions and sentiment shifts in real-time for immediate response

02Building automated trend detection systems that alert users to viral content

03Collecting structured social datasets for long-term behavioral and network analysis

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi pulse-mcp-stream

For use in Claude.ai and ChatGPT

Download Skill