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Connectto Affinity, Heygen, Tavily MCP Servers

Create powerful AI workflows by connecting multiple MCP servers including Affinity, Heygen, Tavily for enhanced automation capabilities in Klavis AI.

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Affinity icon

Affinity

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Affinity is a relationship intelligence platform that helps teams manage relationships, track deals, and leverage network insights to drive business growth with powerful CRM and relationship mapping capabilities

Available Tools:

  • affinity_get_current_user
  • affinity_get_all_list_entries_on_a_list
  • affinity_get_metadata_on_all_lists
  • +20 more tools
Heygen icon

Heygen

featured

HeyGen is an AI video generation platform that creates professional videos with AI avatars and voices. Generate avatar videos with customizable text, voices, and avatars, manage your video library, and track generation status

Available Tools:

  • heygen_get_remaining_credits
  • heygen_get_voices
  • heygen_get_voice_locales
  • +7 more tools
Tavily icon

Tavily

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Tavily is an AI-powered search API designed for LLMs and AI agents. Get real-time web search results, extract content from URLs, crawl websites, and generate site maps with advanced filtering and parsing capabilities

Available Tools:

  • tavily_search
  • tavily_extract
  • tavily_crawl
  • +1 more tools

Quick Setup Guide

Follow these steps to connect your AI agents 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 your AI client and configure authentication settings.

3

Test & Deploy

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

Integrate in minutes, Scale to millions

View Documentation
from klavis import Klavis

klavis_client = Klavis(api_key="KLAVIS_API_KEY")

servers = ["Affinity", "Heygen", "Tavily"]
responses = []

for server in servers:
    mcp_server = klavis_client.mcp_server.create_server_instance(
        server_name=server,
        user_id="<USER_ID>",
        platform_name="<PLATFORM_NAME>"
    )
    responses.append(mcp_server)

Frequently Asked Questions

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