Connectto Klaviyo, Microsoft Teams MCP Servers

Create powerful AI workflows by connecting multiple MCP servers including Klaviyo, Microsoft Teams for enhanced automation capabilities in Klavis AI.

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Klaviyo

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Klaviyo is an email and SMS marketing automation platform. Create campaigns, manage lists, track metrics, and automate customer communications via OpenAPI integration

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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 these MCP servers

1

Create Your Account

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

2

Configure Connections

Add your desired MCP servers 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"))

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

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

# Get all MCP tools
klaviyo_tools = klavis_client.mcp_server.list_tools(
    server_url=klaviyo_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.OPENAI,
)
microsoft_teams_tools = klavis_client.mcp_server.list_tools(
    server_url=microsoft_teams_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.OPENAI,
)

# Combine all tools
all_tools = []
all_tools.extend(klaviyo_tools.tools)
all_tools.extend(microsoft_teams_tools.tools)

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

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

Frequently Asked Questions

Everything you need to know about connecting to these MCP servers

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