Connectto Calendly, Cloudflare, Klavis ReportGen MCP Servers
Create powerful AI workflows by connecting multiple MCP servers including Calendly, Cloudflare, Klavis ReportGen for enhanced automation capabilities in Klavis AI.
Calendly
Manage scheduling and appointments with your agents.
Cloudflare
Cloudflare provides content delivery network services, DDoS protection, and security.
Klavis ReportGen
Generate visually appealing JavaScript web reports from search queries with Klavis AI.
Available Tools:
- generate_web_reports
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"))
calendly_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.CALENDLY,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
cloudflare_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.CLOUDFLARE,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
klavis_reportgen_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.KLAVIS_REPORTGEN,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
calendly_tools = await aget_tools_from_mcp_url(
calendly_mcp_instance.server_url,
client=BasicMCPClient(calendly_mcp_instance.server_url)
)
cloudflare_tools = await aget_tools_from_mcp_url(
cloudflare_mcp_instance.server_url,
client=BasicMCPClient(cloudflare_mcp_instance.server_url)
)
klavis_reportgen_tools = await aget_tools_from_mcp_url(
klavis_reportgen_mcp_instance.server_url,
client=BasicMCPClient(klavis_reportgen_mcp_instance.server_url)
)
calendly_agent = FunctionAgent(
name="calendly_agent",
tools=calendly_tools,
llm=llm,
)
cloudflare_agent = FunctionAgent(
name="cloudflare_agent",
tools=cloudflare_tools,
llm=llm,
)
klavis_reportgen_agent = FunctionAgent(
name="klavis_reportgen_agent",
tools=klavis_reportgen_tools,
llm=llm,
)
workflow = AgentWorkflow(
agents=[calendly_agent, cloudflare_agent, klavis_reportgen_agent],
root_agent="calendly_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