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Connectto Google Docs, Exa, Google Jobs MCP Servers

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

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Google Docs icon

Google Docs

featured

Google Docs is a word processor included as part of the free, web-based Google Docs Editors suite

Available Tools:

  • google_docs_get_document_by_id
  • google_docs_get_all_documents
  • google_docs_insert_text_at_end
  • +2 more tools
Exa icon

Exa

featured

Exa is an AI-powered search engine designed for AI applications. Use neural search to understand meaning and context, find similar content, get direct answers with citations, and conduct comprehensive research with structured analysis

Available Tools:

  • exa_search
  • exa_get_contents
  • exa_find_similar
  • +2 more tools
Google Jobs icon

Google Jobs

featured

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 = ["Google Docs", "Exa", "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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