communication MCP Server
Multi-backend notification system (audio, Telegram, SMS, phone)
Discovered via github-topic:mcp and last synced 3mo ago.
Install instructions not detected yet
Check the source repository for the latest setup steps.
Required
`alert()`
Solution
`alert()`
**Ad-hoc alerting zoo** — `smtplib.sendmail`, `requests.post(slack_webhook, …)`, `plyer.notify`, `twilio.rest.Client`, `print + beep` all demand different APIs, env vars, and error handling
`alert()`
**AI agents have no voice** — long-running jobs and overnight training finish unnoticed; you can't leave your desk or sleep through a run
`alert()`
Required
API
Description
Internet
`alert()`
Send an alert via specified or fallback backends
Show current notification configuration
Send alert using level-based backend config
**Silent failures waste hours** — a webhook 500s or SMTP is down and the agent never tells you, so you stare at the terminal "just in case"
`call()` `sms()`
`alert()`
List all backends with availability status
`alert()`
Send messages and upload files to Slack channels using the `slack` CLI. Supports direct messages, channel posts, file uploads, and thread replies.
Bidirectional Telegram bridge — talk to Claude from your phone. Built into OpenPaw.
Discover agents across local node and mesh peers at runtime — their roles, handles, and how to communicate with or delegate to them.
Apply data visualization and storytelling principles from Storytelling with Data by Cole Nussbaumer Knaflic. Covers choosing effective visuals (line, bar, table, scatterplot), eliminating clutter (Gestalt principles, data-ink ratio), focusing attention (preattentive attributes, strategic color), thinking like a designer (affordances, alignment, white space), and narrative structure (three-act story, horizontal/vertical logic, Big Idea). Trigger on "data visualization", "chart design", "dashboard design", "data storytelling", "presentation chart", "declutter chart", "bar chart", "line chart", "data narrative", "slide deck data", "chart review", "viz critique", "storytelling with data".
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库，覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文，并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库，覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文，并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
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