Microsoft Teams

Overview

This skill helps AI agents build integrations with Microsoft Teams — from simple webhook notifications to full-featured bots and workflow automation. It covers the Microsoft Graph API for team/channel/message management, Bot Framework for conversational bots, incoming webhooks for quick notifications, Adaptive Cards for rich UI, and meeting automation.

Instructions

Choose Integration Type

Need	Solution	Complexity
Send notifications to a channel	Incoming Webhook	Low
Read/write messages, manage teams	Graph API	Medium
Interactive bot (commands, dialogs)	Bot Framework	High
No-code automation	Power Automate	Low

Incoming Webhooks (Simplest)

const WEBHOOK_URL = process.env.TEAMS_WEBHOOK_URL;

// Simple text
await fetch(WEBHOOK_URL, {
  method: 'POST', headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({ text: '**Production Alert**: CPU at 95% on api-server-01' }),
});

// Adaptive Card (rich formatting)
await fetch(WEBHOOK_URL, {
  method: 'POST', headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({
    type: 'message',
    attachments: [{
      contentType: 'application/vnd.microsoft.card.adaptive',
      content: {
        type: 'AdaptiveCard', version: '1.5',
        body: [
          { type: 'TextBlock', text: 'Deployment Complete', weight: 'Bolder', size: 'Large' },
          { type: 'FactSet', facts: [
            { title: 'Service', value: 'api-gateway' },
            { title: 'Version', value: 'v2.4.1' },
            { title: 'Environment', value: 'Production' },
          ]},
        ],
        actions: [{ type: 'Action.OpenUrl', title: 'View Dashboard', url: 'https://grafana.example.com' }],
      },
    }],
  }),
});

Graph API

import { ClientSecretCredential } from '@azure/identity';
import { Client } from '@microsoft/microsoft-graph-client';
import { TokenCredentialAuthenticationProvider } from '@microsoft/microsoft-graph-client/authProviders/azureTokenCredentials';

// Permissions: Team.ReadBasic.All, ChannelMessage.Send, Chat.ReadWrite.All, OnlineMeetings.ReadWrite.All
const credential = new ClientSecretCredential(
  process.env.AZURE_TENANT_ID, process.env.AZURE_CLIENT_ID, process.env.AZURE_CLIENT_SECRET
);
const authProvider = new TokenCredentialAuthenticationProvider(credential, {
  scopes: ['https://graph.microsoft.com/.default'],
});
const graphClient = Client.initWithMiddleware({ authProvider });

// Create channel
await graphClient.api(`/teams/${teamId}/channels`).post({
  displayName: 'Project Alpha', membershipType: 'standard',
});

// Send message with Adaptive Card
await graphClient.api(`/teams/${teamId}/channels/${channelId}/messages`).post({
  body: { contentType: 'html', content: '' },
  attachments: [{
    id: '1', contentType: 'application/vnd.microsoft.card.adaptive',
    content: JSON.stringify({
      type: 'AdaptiveCard', version: '1.5',
      body: [
        { type: 'TextBlock', text: 'PR #142: Add payment retry logic', weight: 'Bolder' },
        { type: 'FactSet', facts: [{ title: 'Author', value: 'Sarah Chen' }, { title: 'Tests', value: 'All passing' }] },
      ],
      actions: [{ type: 'Action.OpenUrl', title: 'Review PR', url: 'https://github.com/org/repo/pull/142' }],
    }),
  }],
});

// Create online meeting
const meeting = await graphClient.api(`/users/${organizerId}/onlineMeetings`).post({
  subject: 'Sprint Planning',
  startDateTime: '2026-03-01T14:00:00Z', endDateTime: '2026-03-01T15:00:00Z',
  participants: { attendees: [{ upn: 'sarah@example.com', role: 'attendee' }] },
});
console.log('Join URL:', meeting.joinUrl);

Bot Framework

import { ActivityHandler, TurnContext, CardFactory } from 'botbuilder';
import { BotFrameworkAdapter } from 'botbuilder';
import express from 'express';

class TeamBot extends ActivityHandler {
  constructor() {
    super();
    this.onMessage(async (context: TurnContext, next) => {
      const text = context.activity.text?.trim().toLowerCase();
      if (text === 'status') {
        const card = CardFactory.adaptiveCard({
          type: 'AdaptiveCard', version: '1.5',
          body: [
            { type: 'TextBlock', text: 'System Status', weight: 'Bolder', size: 'Large' },
            { type: 'FactSet', facts: [
              { title: 'API', value: 'Healthy (42ms)' },
              { title: 'Database', value: 'Healthy (8ms)' },
              { title: 'Queue', value: 'High (1,247 pending)' },
            ]},
          ],
        });
        await context.sendActivity({ attachments: [card] });
      } else {
        await context.sendActivity('Commands: `status` — system health, `deploy <service>` — deploy');
      }
      await next();
    });
    this.onMembersAdded(async (context, next) => {
      for (const member of context.activity.membersAdded) {
        if (member.id !== context.activity.recipient.id)
          await context.sendActivity(`Welcome, ${member.name}! Type \`help\` to see what I can do.`);
      }
      await next();
    });
  }
}

const adapter = new BotFrameworkAdapter({
  appId: process.env.MICROSOFT_APP_ID, appPassword: process.env.MICROSOFT_APP_PASSWORD,
});
const bot = new TeamBot();
const app = express();
app.post('/api/messages', (req, res) => adapter.process(req, res, (ctx) => bot.run(ctx)));
app.listen(3978);

Examples

Example 1: Set up deployment notifications via webhook

User prompt: "Send a rich notification to our Teams DevOps channel whenever a deployment completes, showing the service name, version, environment, and a link to Grafana."

The agent will:

1. Get the Incoming Webhook URL from the Teams channel connector settings
2. Construct an Adaptive Card with a TextBlock header, a FactSet showing service/version/environment/time, and an Action.OpenUrl button linking to the Grafana dashboard
3. POST the card payload to the webhook URL from the CI/CD pipeline's post-deployment step
4. Add error handling to log failures without blocking the deployment

Example 2: Build a slash-command bot for system health checks

User prompt: "Create a Teams bot that responds to 'status' with a system health card showing API, database, and queue metrics pulled from our monitoring endpoints."

The agent will:

1. Set up a Bot Framework project with BotFrameworkAdapter and an Express server on port 3978
2. Implement onMessage handler that checks for the status command
3. Fetch current metrics from the monitoring API endpoints
4. Format the results as an Adaptive Card with a FactSet and status indicators
5. Register the bot in Azure Bot Service and install it in the Teams workspace

Guidelines

• Incoming webhooks for simple notifications — don't over-engineer with Graph API when a webhook does the job
• Use Adaptive Cards for any structured data — much better UX than plain text
• Graph API with application permissions for daemon services, delegated permissions for user-context apps
• Bot Framework for interactive scenarios — commands, dialogs, approval workflows
• Rate limits: Graph API allows 10,000 requests per 10 minutes per app per tenant
• Always handle onMembersAdded in bots — send welcome message with capabilities
• Store tokens securely — Azure Key Vault or environment variables, never in code
• Test Adaptive Cards at adaptivecards.io/designer before deploying
• Use Teams Toolkit (VS Code extension) for rapid development with templates
• For high-volume messaging, use batch requests ($batch endpoint) to reduce API calls