What social networks does Pulse MCP Stream support?

It currently focuses on the ATProto ecosystem, specifically Bluesky, utilizing its Firehose synchronization service for live data.

Can I use this skill to detect viral content?

Yes, the skill includes specialized views and logic to calculate engagement velocity, helping you identify viral posts based on interactions per minute.

Is it compatible with languages other than TypeScript?

Yes, while the core MCP server is written in TypeScript, the skill provides client examples and integrations for both Python and Ruby.

What is the role of MCP in this skill?

The Model Context Protocol (MCP) acts as the communication layer, allowing Claude to interact with the streaming server and local database seamlessly.

How is the ingested data stored?

All ingested social events and engagement metrics are stored locally in a DuckDB database, allowing for high-speed SQL queries and persistent storage.

Pulse MCP Stream

Name: Pulse MCP Stream
Author: plurigrid

byplurigrid

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分析与监控

Monitors real-time social streams via Model Context Protocol (MCP) with high-performance DuckDB persistence.

Pulse MCP Stream provides a robust Layer 1 infrastructure for real-time social interaction monitoring, specifically optimized for the ATProto (Bluesky) ecosystem. By leveraging the Model Context Protocol (MCP) and DuckDB, it enables Claude and other AI agents to ingest live mentions, engagement changes, and trending topics into a high-speed local database. This skill is essential for developers building cognitive surrogates or automated monitoring systems that require low-latency data ingestion, velocity tracking, and historical persistence for complex social network analysis.

主要功能

012 GitHub stars

02High-performance local persistence using DuckDB for rapid data storage

03Automated engagement velocity tracking for likes, reposts, and replies

04Multi-language support with TypeScript, Python, and Ruby client integrations

05Real-time ATProto/Bluesky firehose subscription and event filtering

06Trend detection and keyword frequency analysis within social networks

使用场景

01Analyzing trending topics and network patterns for automated market research

02Building real-time alert systems for social media mentions and brand monitoring

03Tracking the virality and engagement velocity of specific posts as they happen

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