Connectto Close, Firecrawl Web Search, Mem0 MCP Servers
Create powerful AI workflows by connecting multiple MCP servers including Close, Firecrawl Web Search, Mem0 for enhanced automation capabilities in Klavis AI.
Close
Close is a modern CRM platform built for sales teams, providing powerful lead management, contact organization, and sales pipeline tracking to help businesses close more deals
Available Tools:
- close_create_lead
- close_get_lead
- close_search_leads
- +20 more tools
Firecrawl Web Search
Advanced web crawling, scraping, and search capabilities powered by Firecrawl
Available Tools:
- firecrawl_scrape
- firecrawl_map
- firecrawl_crawl
- +6 more tools
Mem0
Mem0 is an intelligent memory layer for AI applications that provides long-term memory storage and retrieval. Store code snippets, implementation details, and programming knowledge for seamless context retention across conversations
Available Tools:
- mem0_add_memory
- mem0_get_all_memories
- mem0_search_memories
- +2 more tools
Quick Setup Guide
Follow these steps to connect LlamaIndex to these MCP servers
Create Your Account
Sign up for KlavisAI to access our MCP server management platform.
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"))
close_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.CLOSE,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
firecrawl_web_search_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.FIRECRAWL_WEB_SEARCH,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
mem0_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.MEM0,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
close_tools = await aget_tools_from_mcp_url(
close_mcp_instance.server_url,
client=BasicMCPClient(close_mcp_instance.server_url)
)
firecrawl_web_search_tools = await aget_tools_from_mcp_url(
firecrawl_web_search_mcp_instance.server_url,
client=BasicMCPClient(firecrawl_web_search_mcp_instance.server_url)
)
mem0_tools = await aget_tools_from_mcp_url(
mem0_mcp_instance.server_url,
client=BasicMCPClient(mem0_mcp_instance.server_url)
)
close_agent = FunctionAgent(
name="close_agent",
tools=close_tools,
llm=llm,
)
firecrawl_web_search_agent = FunctionAgent(
name="firecrawl_web_search_agent",
tools=firecrawl_web_search_tools,
llm=llm,
)
mem0_agent = FunctionAgent(
name="mem0_agent",
tools=mem0_tools,
llm=llm,
)
workflow = AgentWorkflow(
agents=[close_agent, firecrawl_web_search_agent, mem0_agent],
root_agent="close_agent",
)Frequently Asked Questions
Everything you need to know about connecting to these MCP servers
Ready to Get Started?
Join developers who are already using KlavisAI to power their LlamaIndex applications with these MCP servers.
Start For Free