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Connectto Unified MCP, Tavily, Google Jobs MCP Servers

Create powerful AI workflows by connecting multiple MCP servers including Unified MCP, Tavily, Google Jobs for enhanced automation capabilities in Klavis AI.

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Unified MCP icon

Unified MCP

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Klavis AI unified MCP server that provides access to multiple tools and capabilities through a single endpoint

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
Google Jobs icon

Google Jobs

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Google Jobs is a comprehensive job search platform that aggregates listings from across the web. Search for jobs by location, company, employment type, and more, with detailed information about requirements, benefits, and application processes

Available Tools:

  • google_jobs_search
  • google_jobs_get_details
  • google_jobs_search_by_company
  • +2 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 = ["Unified MCP", "Tavily", "Google Jobs"]
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

Everything you need to know about connecting to these MCP servers

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