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ClickUp MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Create Task, Delete Task, Get Task Details, and more

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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 App Connector for LlamaIndex

The ClickUp app connector for LlamaIndex is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
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 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in ClickUp?"
    )
    print(response)

asyncio.run(main())
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About ClickUp MCP Server

Connect your ClickUp account to any AI agent and take full control of your project hierarchy and task management workflows through natural conversation.

LlamaIndex agents combine ClickUp tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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

  • Hierarchy Orchestration — Navigate through your entire ClickUp structure, from Workspaces and Spaces to Folders and Lists programmatically
  • Task Lifecycle Management — Create, update, and manage tasks in real-time, including monitoring status, priority, and detailed metadata directly through your agent
  • Deep Task Intelligence — Retrieve complete task details, including descriptions, assigned users, and custom fields to maintain high-fidelity project records
  • Workflow Automation — Programmatically list tasks within specific lists or filter folderless lists to understand your team's progress and individual workloads
  • Administrative Oversight — List all accessible workspaces and team members to ensure perfectly coordinated collaboration and permission management

The ClickUp MCP Server exposes 10 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.

All 10 ClickUp tools available for LlamaIndex

When LlamaIndex connects to ClickUp through Vinkius, your AI agent gets direct access to every tool listed below — spanning task-tracking, workflow-automation, hierarchy-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_task

Requires a task name. Optional status and description can be provided. Create a new task in a List

delete_task

Delete a specific task

get_task_details

Note: Do not include the # prefix. Get details for a specific task

list_folderless_lists

List Lists not contained in a Folder

list_folders

Folders help organize multiple lists. List all Folders in a Space

list_lists

Lists contain the actual tasks. List all Lists in a Folder

list_spaces

Spaces are large groupings of folders and lists. List all Spaces in a Workspace

list_tasks

Supports pagination to handle large numbers of tasks. List tasks within a List

list_workspaces

Workspaces are the top-level unit in ClickUp. List all ClickUp Workspaces

update_task

Can update the name, description, or status. Update an existing task

Connect ClickUp to LlamaIndex via MCP

Follow these steps to wire ClickUp into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 10 tools from ClickUp

Why Use LlamaIndex with the ClickUp MCP Server

LlamaIndex provides unique advantages when paired with ClickUp through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine ClickUp tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain ClickUp tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query ClickUp, a vector store, and a SQL database in a single turn and synthesize results

04

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.

01

Hybrid search: combine ClickUp real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query ClickUp to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying ClickUp for fresh data

04

Analytical workflows: chain ClickUp queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for ClickUp in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with ClickUp immediately.

01

"List all ClickUp Workspaces I have access to."

02

"Show the tasks in list ID '789' and their current statuses."

03

"Create a high-priority task 'Fix Login Bug' in list '789'."

Troubleshooting ClickUp MCP Server with LlamaIndex

Common issues when connecting ClickUp to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

ClickUp + LlamaIndex FAQ

Common questions about integrating ClickUp MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query ClickUp tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.