teams-anthropic-integration
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.
Best use case
teams-anthropic-integration is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using teams-anthropic-integration should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/teams-anthropic-integration/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How teams-anthropic-integration Compares
| Feature / Agent | teams-anthropic-integration | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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
```bash
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](https://console.anthropic.com/)
```bash
# 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:**
```typescript
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:
```typescript
import { AnthropicChatModel, AnthropicModel } from '@youdotcom-oss/teams-anthropic';
```
Replace your existing model:
```typescript
const model = new AnthropicChatModel({
model: AnthropicModel.CLAUDE_SONNET_4_5,
apiKey: process.env.ANTHROPIC_API_KEY,
});
```
### A5. Choose Your Model
```typescript
// 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
```bash
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
```bash
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](https://console.anthropic.com/)
- **You.com API key**: [you.com/platform/api-keys](https://you.com/platform/api-keys)
```bash
# 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:**
```typescript
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:**
```bash
npm install @microsoft/teams.mcpclient
```
2. **Add imports:**
```typescript
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:**
```typescript
if (!process.env.YDC_API_KEY) {
throw new Error('YDC_API_KEY environment variable is required');
}
```
4. **Replace model with ChatPrompt:**
```typescript
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():**
```typescript
const result = await prompt.send(activity.text);
```
### B5. Test MCP Integration
```bash
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
```typescript
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
```typescript
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
```typescript
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"**
```bash
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"**
```bash
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
```typescript
// 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-keysRelated Skills
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