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Build Teams.ai Apps with Anthropic Claude

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.

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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.

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Prerequisites
OpenClaw
Primary doc
SKILL.md

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Release facts

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Tencent SkillHub
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Version
1.1.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 26 sections Open source page

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 โ†’ Use Path A: Basic Setup (simpler, faster) YES โ†’ 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

Anthropic API key: console.anthropic.com You.com API key: you.com/platform/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: Install MCP dependencies: npm install @microsoft/teams.mcpclient 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'; Validate You.com API key: if (!process.env.YDC_API_KEY) { throw new Error('YDC_API_KEY environment variable is required'); } 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()); 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

ModelEnumBest ForClaude Opus 4.5AnthropicModel.CLAUDE_OPUS_4_5Complex tasks, highest capabilityClaude Sonnet 4.5AnthropicModel.CLAUDE_SONNET_4_5Balanced intelligence and speed (recommended)Claude Haiku 3.5AnthropicModel.CLAUDE_HAIKU_3_5Fast responses, efficiencyClaude Sonnet 3.5AnthropicModel.CLAUDE_SONNET_3_5Previous generation, stable

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."

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

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" Get key from: https://console.anthropic.com/ Add to .env: ANTHROPIC_API_KEY=your-key-here "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" Get key from: https://you.com/platform/api-keys Add to .env: YDC_API_KEY=your-key-here "MCP connection fails" Verify API key is valid at https://you.com/platform/api-keys Check network connectivity Review logger output for details "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

Package: https://github.com/youdotcom-oss/dx-toolkit/tree/main/packages/teams-anthropic You.com MCP: https://documentation.you.com/developer-resources/mcp-server Anthropic API: https://console.anthropic.com/ You.com API Keys: https://you.com/platform/api-keys

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

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Package contents

Included in package
1 Docs
  • SKILL.md Primary doc