Connectto ClickUp, Postgres, Calendly MCP Servers
Create powerful AI workflows by connecting multiple MCP servers including ClickUp, Postgres, Calendly for enhanced automation capabilities in Klavis AI.
ClickUp
ClickUp is a comprehensive project management and productivity platform that helps teams organize tasks, manage projects, and collaborate effectively with customizable workflows and powerful tracking features
Available Tools:
- clickup_get_teams
- clickup_get_workspaces
- clickup_get_spaces
- +18 more tools
Postgres
PostgreSQL is a powerful, open source object-relational database system
Available Tools:
- query
Calendly
Manage scheduling and appointments with your agents.
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"))
clickup_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.CLICKUP,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
postgres_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.POSTGRES,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
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,
)
clickup_tools = await aget_tools_from_mcp_url(
clickup_mcp_instance.server_url,
client=BasicMCPClient(clickup_mcp_instance.server_url)
)
postgres_tools = await aget_tools_from_mcp_url(
postgres_mcp_instance.server_url,
client=BasicMCPClient(postgres_mcp_instance.server_url)
)
calendly_tools = await aget_tools_from_mcp_url(
calendly_mcp_instance.server_url,
client=BasicMCPClient(calendly_mcp_instance.server_url)
)
clickup_agent = FunctionAgent(
name="clickup_agent",
tools=clickup_tools,
llm=llm,
)
postgres_agent = FunctionAgent(
name="postgres_agent",
tools=postgres_tools,
llm=llm,
)
calendly_agent = FunctionAgent(
name="calendly_agent",
tools=calendly_tools,
llm=llm,
)
workflow = AgentWorkflow(
agents=[clickup_agent, postgres_agent, calendly_agent],
root_agent="clickup_agent",
)Frequently Asked Questions
Everything you need to know about connecting to these MCP servers
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