oyi77 Communication MCP Skill
When NOT to Use
- Task is outside your authorization scope
- You need to implement controls (use implementing-* skills)
- Task is about analysis, not action (use analyzing-* skills)
- You don't have access to target systems
- Task requires compliance expertise (consult professionals)
- Task is about defense, not offense (use defensive skills)
Overview
MCP servers enabling AI agents to interact with Slack, Discord, and Telegram. Send notifications, manage messages, and automate communication workflows across platforms.
Supported Platforms: Slack, Discord, Telegram
Use Cases: Alerts, notifications, automation, community management
When to Use
Trigger phrases:
"communication mcp"
"MCP servers for team communication"
Send notifications to channels
Automate status updates
Monitor mentions and messages
Community management
Alert systems
Slack MCP Setup
{
"enabled": true,
"autoRun": false,
"timeout": 30000,
"retries": 3
}
Set environment variables as needed for authentication and endpoints.
Installation
{
"mcpServers": {
"slack": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-slack"],
"env": {
"SLACK_BOT_TOKEN": "${SLACK_BOT_TOKEN}",
"SLACK_TEAM_ID": "${SLACK_TEAM_ID}"
}
}
}
}
Slack Tools
// Send message
slack.chat.postMessage({
channel: "#alerts",
text: "Deployment completed!",
blocks: [...]
})
// Search messages
slack.search.messages({
query: "deployment error",
count: 10
})
// List channels
slack.conversations.list({
types: "public_channel,private_channel"
})
// Post to thread
slack.chat.postMessage({
channel: "C123456",
text: "Update: Issue resolved",
thread_ts: "1234567890.123"
})
Discord MCP Setup
{
"enabled": true,
"autoRun": false,
"timeout": 30000,
"retries": 3
}
Set environment variables as needed for authentication and endpoints.
Installation
{
"mcpServers": {
"discord": {
"command": "npx",
"args": ["-y", "mcp-discord"],
"env": {
"DISCORD_BOT_TOKEN": "${DISCORD_BOT_TOKEN}"
}
}
}
}
Discord Tools
// Send message
discord.sendMessage({
channel_id: "123456789",
content: "Server alert!"
})
// Send embed
discord.sendEmbed({
channel_id: "123456789",
title: "Deployment Status",
description: "Successfully deployed!",
color: 0x00ff00
})
// Get channel messages
discord.getMessages({
channel_id: "123456789",
limit: 10
})
// React to message
discord.addReaction({
channel_id: "123456789",
message_id: "987654321",
emoji: "✅"
})
Telegram MCP Setup
{
"enabled": true,
"autoRun": false,
"timeout": 30000,
"retries": 3
}
Set environment variables as needed for authentication and endpoints.
Installation
{
"mcpServers": {
"telegram": {
"command": "npx",
"args": ["-y", "mcp-telegram"],
"env": {
"TELEGRAM_BOT_TOKEN": "${TELEGRAM_BOT_TOKEN}"
}
}
}
}
Telegram Tools
// Send message
telegram.sendMessage({
chat_id: "@channel",
text: "Alert: High CPU usage!"
})
// Send with keyboard
telegram.sendMessage({
chat_id: "@channel",
text: "Choose an option:",
reply_markup: {
keyboard: [["Option 1", "Option 2"]]
}
})
// Get updates
telegram.getUpdates({
limit: 10
})
// Send photo
telegram.sendPhoto({
chat_id: "@channel",
photo: "https://example.com/chart.png",
caption: "Daily stats"
})
Use Cases
This section covers use cases for the communication-mcp skill. Key operations include input validation, core processing, and output verification. Refer to the skill overview for detailed usage instructions.
1. Monitoring Alerts
Trigger: Server down
Action: Slack → #alerts → "Server is down!"
2. Deployment Notifications
Trigger: CI/CD complete
Action: Discord → #deploys → Embed with status
3. Customer Support
Trigger: New ticket
Action: Telegram → @team → "New ticket: [issue]"
4. Daily Reports
Schedule: Daily 9 AM
Action: All platforms → Post daily summary
5. Incident Management
Trigger: Error rate spike
Action:
1. Slack → Alert channel
2. Discord → Update status
3. Telegram → Notify on-call
Message Templates
name: skill-name
description: Brief description of what this skill does
domain: category
tags:
- [tag1
- tag2
- tag3]
Deployment Alert
{
"blocks": [
{
"type": "section",
"text": {
"type": "mrkdwn",
"text": "🚀 *Deployment Complete*"
}
},
{
"type": "section",
"fields": [
{ "type": "mrkdwn", "text": "*Environment:*\nproduction" },
{ "type": "mrkdwn", "text": "*Version:*\nv2.1.0" }
]
}
]
}
Incident Alert
{
"embeds": [{
"title": "🚨 Incident Detected",
"description": "Error rate > 5%",
"color": 0xff0000,
"fields": [
{ "name": "Service", "value": "api" },
{ "name": "Error Rate", "value": "7.2%" }
]
}]
}
Integration with 1ai-skills
- Connects with existing toolchain via standard interfaces
- Supports webhook-based event notifications
- Compatible with CI/CD pipelines for automated workflows
- Provides structured output for downstream consumption
With Monitoring
skill-performance-monitor → communication-mcp → alerts
↓ ↓
Detect issue Notify team
With CI/CD
automation → communication-mcp → status updates
↓ ↓
Deploy Notify
With Research
ai-research-agent → communication-mcp → share findings
↓ ↓
Analyze Post to channels
Best Practices
This section covers best practices for the communication-mcp skill. Key operations include input validation, core processing, and output verification. Refer to the skill overview for detailed usage instructions.
Do's
✅ Use threads for related messages
✅ Include actionable buttons
✅ Format for readability
✅ Set up appropriate permissions
Don'ts
❌ Don't spam channels
❌ Don't send sensitive data
❌ Don't ignore rate limits
Version History
- v1.0 (2026-02-27) - Initial creation
- Slack, Discord, Telegram support
Anti-Rationalization Table
| Rationalization | Reality |
|---|---|
| "I will handle auth later" | Retrofitting auth is 10x harder. Build it from day one. |
| "APIs do not change" | APIs change. Version your integrations and handle deprecations. |
| "Webhooks are optional" | Without webhooks, you miss real-time events. They are essential. |
Related Skills
- skill-performance-monitor - Monitoring
- automation - Workflow automation
- alerting - Alert management
How to Use
- Invoke the skill when relevant domain keywords appear in the request
- Provide required inputs as specified in the skill definition
- Review the output for correctness before delivering to the user
- Combine with related skills for complex multi-step workflows
Verification
After completing this skill, confirm:
- Output meets the defined quality and completeness requirements
- All prerequisites are verified and documented
- Error handling covers edge cases
- Results are accurate and actionable
Process
- Analyze the task requirements
- Apply domain expertise
- Verify output quality