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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.

Why use this skill?

Easily add Anthropic Claude models to your Microsoft Teams apps. Support for web search via You.com MCP, streaming, and function calling for smarter bots.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/edwardirby/teams-anthropic-integration
Or

What This Skill Does

The teams-anthropic-integration skill provides a seamless bridge for integrating Anthropic's powerful Claude model family (Opus, Sonnet, and Haiku) into Microsoft Teams.ai applications. This skill handles the complexity of LLM initialization, stream management, and function calling, allowing developers to focus on building conversational logic rather than infrastructure. By supporting both a basic integration and an advanced configuration featuring the You.com Model Context Protocol (MCP) server, it empowers developers to create intelligent, context-aware bots capable of performing real-time web searches and extracting accurate information directly within the Teams interface.

Installation

To integrate this into your workflow, execute the following installation command in your terminal: clawhub install openclaw/skills/skills/edwardirby/teams-anthropic-integration

For a standard implementation, you will need to set your ANTHROPIC_API_KEY in your environment configuration. The package includes robust abstractions for AnthropicChatModel, allowing you to switch between model versions such as Haiku, Sonnet, or Opus simply by updating a configuration variable.

Use Cases

  1. Automated Helpdesks: Deploy a bot that can answer company-specific queries while using live web searches to reference current industry trends or documentation.
  2. Research Assistants: Enable team members to perform complex deep-dive research without leaving Teams; the bot can extract web content and synthesize it into clear summaries.
  3. Intelligent Workflow Automation: Build conversational agents that execute tasks and fetch live data, bridging the gap between static internal data and the dynamic internet.

Example Prompts

  1. "@TeamsBot Search for the latest updates on the AI regulatory landscape and summarize how it affects our current project roadmap."
  2. "@TeamsBot Compare the pricing and features of the top three cloud storage providers based on their official landing pages."
  3. "@TeamsBot Can you explain the difference between the Anthropic Sonnet and Haiku models in terms of latency and capability?"

Tips & Limitations

  • Model Selection: Start with Sonnet for a balanced performance; switch to Haiku for high-speed, low-cost tasks, or Opus for deep reasoning requirements.
  • Cost Management: Always set reasonable token limits in your requestOptions to prevent runaway costs during long conversations.
  • MCP Integration: When using the You.com MCP server, ensure you have appropriate connectivity permissions. The search function is only as accurate as the web data retrieved, so verify critical facts via citations provided by the bot.

Metadata

Stars2387
Views1
Updated2026-03-09
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-edwardirby-teams-anthropic-integration": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#anthropic#teams#ai-agents#mcp#chatbot
Safety Score: 4/5

Flags: network-access, external-api

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