ClickUp MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add ClickUp as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to ClickUp. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in ClickUp?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About ClickUp MCP Server
Connect your ClickUp account to any AI agent and take full control of your project management and productivity through natural conversation. Streamline how you manage tasks, subtasks, and complex workflows natively.
LlamaIndex agents combine ClickUp tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Workspace Oversight — List and retrieve details for all workspaces (teams) you belong to natively
- Hierarchy Intelligence — Access and monitor spaces, folders, and lists to understand project structures flawlessly
- Task Management — List and retrieve detailed information for tasks, including statuses and priorities, securely
- Workflow Logistics — Create new tasks and manage subtasks to keep your team organized flawlessly
- Productivity Tracking — Access your own user profile and team member information securely
- Integrated Visibility — Retrieve detailed task metadata including descriptions and due dates directly within your workspace
The ClickUp MCP Server exposes 8 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect ClickUp to LlamaIndex via MCP
Follow these steps to integrate the ClickUp MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 8 tools from ClickUp
Why Use LlamaIndex with the ClickUp MCP Server
LlamaIndex provides unique advantages when paired with ClickUp through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine ClickUp tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain ClickUp tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query ClickUp, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what ClickUp tools were called, what data was returned, and how it influenced the final answer
ClickUp + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the ClickUp MCP Server delivers measurable value.
Hybrid search: combine ClickUp real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query ClickUp to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying ClickUp for fresh data
Analytical workflows: chain ClickUp queries with LlamaIndex's data connectors to build multi-source analytical reports
ClickUp MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect ClickUp to LlamaIndex via MCP:
create_new_task
Create a new task in a specific list
get_my_clickup_profile
Retrieve information about the authenticated user
get_task_details
Get detailed information for a specific task
list_clickup_workspaces
List all workspaces (teams) the user belongs to
list_list_tasks
List all tasks in a specific list
list_space_folders
List all folders within a space
list_space_lists
List all lists within a space
list_workspace_spaces
List all spaces within a workspace
Example Prompts for ClickUp in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with ClickUp immediately.
"List all my ClickUp workspaces."
"Show me the tasks in the 'Q2 Launch' list."
"Create a new task called 'Prepare presentation' in list 'wf_123'."
Troubleshooting ClickUp MCP Server with LlamaIndex
Common issues when connecting ClickUp to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpClickUp + LlamaIndex FAQ
Common questions about integrating ClickUp MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect ClickUp with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect ClickUp to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.