Connectto Exa, Google Jobs MCP Servers
Create powerful AI workflows by connecting multiple MCP servers including Exa, Google Jobs for enhanced automation capabilities in Klavis AI.
Exa
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
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 LlamaIndex to these MCP servers
Create Your Account
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Configure Connections
Add your desired MCP servers to LlamaIndex and configure authentication settings.
Test & Deploy
Verify your connections work correctly and start using your enhanced AI capabilities.
LlamaIndex + KlavisAI Integration Snippets
import os
from klavis import Klavis
from klavis.types import McpServerName, ConnectionType
from llama_index.tools.mcp import (
BasicMCPClient,
get_tools_from_mcp_url,
aget_tools_from_mcp_url,
)
from llama_index.core.agent.workflow import FunctionAgent, AgentWorkflow
# Initialize clients
klavis_client = Klavis(api_key=os.getenv("KLAVIS_API_KEY"))
exa_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.EXA,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
google_jobs_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.GOOGLE_JOBS,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
exa_tools = await aget_tools_from_mcp_url(
exa_mcp_instance.server_url,
client=BasicMCPClient(exa_mcp_instance.server_url)
)
google_jobs_tools = await aget_tools_from_mcp_url(
google_jobs_mcp_instance.server_url,
client=BasicMCPClient(google_jobs_mcp_instance.server_url)
)
exa_agent = FunctionAgent(
name="exa_agent",
tools=exa_tools,
llm=llm,
)
google_jobs_agent = FunctionAgent(
name="google_jobs_agent",
tools=google_jobs_tools,
llm=llm,
)
workflow = AgentWorkflow(
agents=[exa_agent, google_jobs_agent],
root_agent="exa_agent",
)Frequently Asked Questions
Everything you need to know about connecting to these MCP servers
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