Connectto Gong, Outlook Mail, Calendly MCP Servers

Create powerful AI workflows by connecting multiple MCP servers including Gong, Outlook Mail, Calendly for enhanced automation capabilities in Klavis AI.

Gong icon

Gong

featured

Gong is a revenue intelligence platform that captures and analyzes all revenue-related interactions to help sales teams close more deals. It provides conversation analytics, deal insights, and sales performance tracking through call recordings and transcripts

Available Tools:

  • gong_get_transcripts_by_user
  • gong_get_extensive_data
  • gong_get_call_transcripts
  • +2 more tools
Outlook Mail icon

Outlook Mail

coming soon

Outlook Mail is a web-based suite of webmail, contacts, tasks, and calendaring services from Microsoft

Calendly icon

Calendly

coming soon

Manage scheduling and appointments with your agents.

Quick Setup Guide

Follow these steps to connect OpenAI 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 OpenAI and configure authentication settings.

3

Test & Deploy

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

OpenAI + KlavisAI Integration Snippets

import json
import os
from openai import OpenAI
from klavis import Klavis
from klavis.types import McpServerName, ConnectionType, ToolFormat

# Initialize clients
openai_client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
klavis_client = Klavis(api_key=os.getenv("KLAVIS_API_KEY"))

# Constants
OPENAI_MODEL = "gpt-4o-mini"

gong_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.GONG,
    user_id="1234",
    platform_name="Klavis",
    connection_type=ConnectionType.STREAMABLE_HTTP,
)

outlook_mail_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.OUTLOOK_MAIL,
    user_id="1234",
    platform_name="Klavis",
    connection_type=ConnectionType.STREAMABLE_HTTP,
)

calendly_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.CALENDLY,
    user_id="1234",
    platform_name="Klavis",
    connection_type=ConnectionType.STREAMABLE_HTTP,
)

# Get tools from all MCP servers
gong_tools = klavis_client.mcp_server.list_tools(
    server_url=gong_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.OPENAI,
)
outlook_mail_tools = klavis_client.mcp_server.list_tools(
    server_url=outlook_mail_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.OPENAI,
)
calendly_tools = klavis_client.mcp_server.list_tools(
    server_url=calendly_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.OPENAI,
)

# Combine all tools
all_tools = []
all_tools.extend(gong_tools)
all_tools.extend(outlook_mail_tools)
all_tools.extend(calendly_tools)

messages = [
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": user_message}
]
        
response = openai_client.chat.completions.create(
    model=OPENAI_MODEL,
    messages=messages,
    tools=all_tools if all_tools else None
)

Frequently Asked Questions

Everything you need to know about connecting to these MCP servers

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