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AI & LLMs @edwardirby Updated 2/26/2026

Teams Anthropic Integration OpenClaw Skill - ClawHub

Do you want your AI agent to automate Teams Anthropic Integration workflows? This free skill from ClawHub helps with ai & llms tasks without building custom tools from scratch.

What this skill does

Use @youdotcom-oss/teams-anthropic to add Anthropic Claude models (Opus, Sonnet, Haiku) to Microsoft Teams.ai applications. Optionally integrate You.com MCP server for web search and content extraction.

Install

npx clawhub@latest install teams-anthropic-integration

Full SKILL.md

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teams-anthropic-integrationUse @youdotcom-oss/teams-anthropic to add Anthropic Claude models (Opus, Sonnet, Haiku) to Microsoft Teams.ai applications. Optionally integrate You.com MCP server for web search and content extraction.MIT

Build Teams.ai Apps with Anthropic Claude

Use @youdotcom-oss/teams-anthropic to add Claude models (Opus, Sonnet, Haiku) to Microsoft Teams.ai applications. Optionally integrate You.com MCP server for web search and content extraction.

Choose Your Path

Path A: Basic Setup (Recommended for getting started)

  • Use Anthropic Claude models in Teams.ai
  • Chat, streaming, function calling
  • No additional dependencies

Path B: With You.com MCP (For web search capabilities)

  • Everything in Path A
  • Web search and content extraction via You.com
  • Real-time information access

Decision Point

Ask: Do you need web search and content extraction in your Teams app?

  • NO → Use Path A: Basic Setup (simpler, faster)
  • YES → Use Path B: With You.com MCP

Path A: Basic Setup

Use Anthropic Claude models in your Teams.ai app without additional dependencies.

A1. Install Package

npm install @youdotcom-oss/teams-anthropic @anthropic-ai/sdk @microsoft/teams.ai

A2. Get Anthropic API Key

Get your API key from console.anthropic.com

# Add to .env
ANTHROPIC_API_KEY=your-anthropic-api-key

A3. Ask: New or Existing App?

  • New Teams app: Use entire template below
  • Existing app: Add Claude model to existing setup

A4. Basic Template

For NEW Apps:

import { App } from '@microsoft/teams.apps';
import { AnthropicChatModel, AnthropicModel } from '@youdotcom-oss/teams-anthropic';

if (!process.env.ANTHROPIC_API_KEY) {
  throw new Error('ANTHROPIC_API_KEY environment variable is required');
}

const model = new AnthropicChatModel({
  model: AnthropicModel.CLAUDE_SONNET_4_5,
  apiKey: process.env.ANTHROPIC_API_KEY,
  requestOptions: {
    max_tokens: 2048,
    temperature: 0.7,
  },
});

const app = new App();

app.on('message', async ({ send, activity }) => {
  await send({ type: 'typing' });

  const response = await model.send(
    { role: 'user', content: activity.text }
  );

  if (response.content) {
    await send(response.content);
  }
});

app.start().catch(console.error);

For EXISTING Apps:

Add to your existing imports:

import { AnthropicChatModel, AnthropicModel } from '@youdotcom-oss/teams-anthropic';

Replace your existing model:

const model = new AnthropicChatModel({
  model: AnthropicModel.CLAUDE_SONNET_4_5,
  apiKey: process.env.ANTHROPIC_API_KEY,
});

A5. Choose Your Model

// Most capable - best for complex tasks
AnthropicModel.CLAUDE_OPUS_4_5

// Balanced intelligence and speed (recommended)
AnthropicModel.CLAUDE_SONNET_4_5

// Fast and efficient
AnthropicModel.CLAUDE_HAIKU_3_5

A6. Test Basic Setup

npm start

Send a message in Teams to verify Claude responds.


Path B: With You.com MCP

Add web search and content extraction to your Claude-powered Teams app.

B1. Install Packages

npm install @youdotcom-oss/teams-anthropic @anthropic-ai/sdk @microsoft/teams.ai @microsoft/teams.mcpclient

B2. Get API Keys

# Add to .env
ANTHROPIC_API_KEY=your-anthropic-api-key
YDC_API_KEY=your-you-com-api-key

B3. Ask: New or Existing App?

  • New Teams app: Use entire template below
  • Existing app: Add MCP to existing Claude setup

B4. MCP Template

For NEW Apps:

import { App } from '@microsoft/teams.apps';
import { ChatPrompt } from '@microsoft/teams.ai';
import { ConsoleLogger } from '@microsoft/teams.common';
import { McpClientPlugin } from '@microsoft/teams.mcpclient';
import {
  AnthropicChatModel,
  AnthropicModel,
  getYouMcpConfig,
} from '@youdotcom-oss/teams-anthropic';

// Validate environment
if (!process.env.ANTHROPIC_API_KEY) {
  throw new Error('ANTHROPIC_API_KEY environment variable is required');
}

if (!process.env.YDC_API_KEY) {
  throw new Error('YDC_API_KEY environment variable is required');
}

// Configure logger
const logger = new ConsoleLogger('mcp-client', { level: 'info' });

// Create prompt with MCP integration
const prompt = new ChatPrompt(
  {
    instructions: 'You are a helpful assistant with access to web search and content extraction. Use these tools to provide accurate, up-to-date information.',
    model: new AnthropicChatModel({
      model: AnthropicModel.CLAUDE_SONNET_4_5,
      apiKey: process.env.ANTHROPIC_API_KEY,
      requestOptions: {
        max_tokens: 2048,
      },
    }),
  },
  [new McpClientPlugin({ logger })],
).usePlugin('mcpClient', getYouMcpConfig());

const app = new App();

app.on('message', async ({ send, activity }) => {
  await send({ type: 'typing' });

  const result = await prompt.send(activity.text);
  if (result.content) {
    await send(result.content);
  }
});

app.start().catch(console.error);

For EXISTING Apps with Claude:

If you already have Path A setup, add MCP integration:

  1. Install MCP dependencies:

    npm install @microsoft/teams.mcpclient
    
  2. Add imports:

    import { ChatPrompt } from '@microsoft/teams.ai';
    import { ConsoleLogger } from '@microsoft/teams.common';
    import { McpClientPlugin } from '@microsoft/teams.mcpclient';
    import { getYouMcpConfig } from '@youdotcom-oss/teams-anthropic';
    
  3. Validate You.com API key:

    if (!process.env.YDC_API_KEY) {
      throw new Error('YDC_API_KEY environment variable is required');
    }
    
  4. Replace model with ChatPrompt:

    const logger = new ConsoleLogger('mcp-client', { level: 'info' });
    
    const prompt = new ChatPrompt(
      {
        instructions: 'Your instructions here',
        model: new AnthropicChatModel({
          model: AnthropicModel.CLAUDE_SONNET_4_5,
          apiKey: process.env.ANTHROPIC_API_KEY,
        }),
      },
      [new McpClientPlugin({ logger })],
    ).usePlugin('mcpClient', getYouMcpConfig());
    
  5. Use prompt.send() instead of model.send():

    const result = await prompt.send(activity.text);
    

B5. Test MCP Integration

npm start

Ask Claude a question that requires web search:

  • "What are the latest developments in AI?"
  • "Search for React documentation"
  • "Extract content from https://example.com"

Available Claude Models

Model Enum Best For
Claude Opus 4.5 AnthropicModel.CLAUDE_OPUS_4_5 Complex tasks, highest capability
Claude Sonnet 4.5 AnthropicModel.CLAUDE_SONNET_4_5 Balanced intelligence and speed (recommended)
Claude Haiku 3.5 AnthropicModel.CLAUDE_HAIKU_3_5 Fast responses, efficiency
Claude Sonnet 3.5 AnthropicModel.CLAUDE_SONNET_3_5 Previous generation, stable

Advanced Features

Streaming Responses

const response = await model.send(
  { role: 'user', content: 'Write a short story' },
  {
    onChunk: async (delta) => {
      // Stream each token as it arrives
      process.stdout.write(delta);
    },
  }
);

Function Calling

const response = await model.send(
  { role: 'user', content: 'What is the weather in San Francisco?' },
  {
    functions: {
      get_weather: {
        description: 'Get the current weather for a location',
        parameters: {
          location: { type: 'string', description: 'City name' },
        },
        handler: async (args: { location: string }) => {
          // Your API call here
          return { temperature: 72, conditions: 'Sunny' };
        },
      },
    },
  }
);

Conversation Memory

import { LocalMemory } from '@microsoft/teams.ai';

const memory = new LocalMemory();

// First message
await model.send(
  { role: 'user', content: 'My name is Alice' },
  { messages: memory }
);

// Second message - Claude remembers
const response = await model.send(
  { role: 'user', content: 'What is my name?' },
  { messages: memory }
);
// Response: "Your name is Alice."

Validation Checklist

Path A Checklist

  • [ ] Package installed: @youdotcom-oss/teams-anthropic
  • [ ] Environment variable set: ANTHROPIC_API_KEY
  • [ ] Model configured with AnthropicChatModel
  • [ ] Model selection chosen (Opus/Sonnet/Haiku)
  • [ ] App tested with basic messages

Path B Checklist

  • [ ] All Path A items completed
  • [ ] Additional package installed: @microsoft/teams.mcpclient
  • [ ] Environment variable set: YDC_API_KEY
  • [ ] Logger configured
  • [ ] ChatPrompt configured with getYouMcpConfig()
  • [ ] App tested with web search queries

Common Issues

Path A Issues

"Cannot find module @youdotcom-oss/teams-anthropic"

npm install @youdotcom-oss/teams-anthropic @anthropic-ai/sdk

"ANTHROPIC_API_KEY environment variable is required"

"Invalid model identifier"

  • Use enum: AnthropicModel.CLAUDE_SONNET_4_5
  • Don't use string: 'claude-sonnet-4-5-20250929'

Path B Issues

"YDC_API_KEY environment variable is required"

"MCP connection fails"

"Cannot find module @microsoft/teams.mcpclient"

npm install @microsoft/teams.mcpclient

getYouMcpConfig() Utility

Automatically configures You.com MCP connection:

  • URL: https://api.you.com/mcp
  • Authentication: Bearer token from YDC_API_KEY
  • User-Agent: Includes package version for telemetry
// Option 1: Use environment variable (recommended)
getYouMcpConfig()

// Option 2: Custom API key
getYouMcpConfig({ apiKey: 'your-custom-key' })

Resources

Original URL: https://github.com/openclaw/skills/blob/main/skills/edwardirby/teams-anthropic-integration

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