Connectto Microsoft Teams MCP Server

Seamlessly integrate your Together AI applications with Microsoft Teams using Klavis AI's comprehensive MCP server connection guide.

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Microsoft Teams

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Microsoft Teams is a collaboration platform that combines workplace chat, meetings, calling, and file sharing. Manage teams, channels, messages, meetings, and collaborate with your organization seamlessly

Quick Setup Guide

Follow these steps to connect Together AI to this MCP server

1

Create Your Account

Sign up for KlavisAI to access our MCP server management platform.

2

Configure Connections

Add the MCP server to Together AI and configure authentication settings.

3

Test & Deploy

Verify your connections work correctly and start using your enhanced AI capabilities.

Together AI + KlavisAI Integration Snippets

import os
import json
from together import Together
from klavis import Klavis
from klavis.types import McpServerName, ConnectionType, ToolFormat

# Initialize clients
together_client = Together(api_key=os.getenv("TOGETHER_API_KEY"))
klavis_client = Klavis(api_key=os.getenv("KLAVIS_API_KEY"))

microsoft_teams_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.MICROSOFT_TEAMS,
    user_id="1234",
    connection_type=ConnectionType.STREAMABLE_HTTP,
)

mcp_tools = klavis_client.mcp_server.list_tools(
    server_url=microsoft_teams_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.OPENAI,
)

messages = [
    {"role": "system", "content": "You are a helpful AI assistant with access to various tools."},
    {"role": "user", "content": user_message}
]

response = together_client.chat.completions.create(
    model="meta-llama/Llama-2-70b-chat-hf",
    messages=messages,
    tools=mcp_tools.tools
)

Frequently Asked Questions

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