Connectto Linear, ClickUp, Perplexity MCP Servers
Create powerful AI workflows by connecting multiple MCP servers including Linear, ClickUp, Perplexity for enhanced automation capabilities in Klavis AI.
Linear
Linear is a modern issue tracking and project management tool designed for high-performance teams to build better software faster
Available Tools:
- linear_get_teams
- linear_get_issues
- linear_get_issue_by_id
- +9 more tools
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
Perplexity
Perplexity is an AI research assistant that provides accurate answers and cites sources
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"))
linear_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.LINEAR,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
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,
)
perplexity_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.PERPLEXITY,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
linear_tools = await aget_tools_from_mcp_url(
linear_mcp_instance.server_url,
client=BasicMCPClient(linear_mcp_instance.server_url)
)
clickup_tools = await aget_tools_from_mcp_url(
clickup_mcp_instance.server_url,
client=BasicMCPClient(clickup_mcp_instance.server_url)
)
perplexity_tools = await aget_tools_from_mcp_url(
perplexity_mcp_instance.server_url,
client=BasicMCPClient(perplexity_mcp_instance.server_url)
)
linear_agent = FunctionAgent(
name="linear_agent",
tools=linear_tools,
llm=llm,
)
clickup_agent = FunctionAgent(
name="clickup_agent",
tools=clickup_tools,
llm=llm,
)
perplexity_agent = FunctionAgent(
name="perplexity_agent",
tools=perplexity_tools,
llm=llm,
)
workflow = AgentWorkflow(
agents=[linear_agent, clickup_agent, perplexity_agent],
root_agent="linear_agent",
)Frequently Asked Questions
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