ClickUp MCP Server for LangChain 8 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect ClickUp through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"clickup": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using ClickUp, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with ClickUp through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the ClickUp MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 8 tools from ClickUp via MCP
Why Use LangChain with the ClickUp MCP Server
LangChain provides unique advantages when paired with ClickUp through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine ClickUp MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across ClickUp queries for multi-turn workflows
ClickUp + LangChain Use Cases
Practical scenarios where LangChain combined with the ClickUp MCP Server delivers measurable value.
RAG with live data: combine ClickUp tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query ClickUp, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain ClickUp tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every ClickUp tool call, measure latency, and optimize your agent's performance
ClickUp MCP Tools for LangChain (8)
These 8 tools become available when you connect ClickUp to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting ClickUp to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersClickUp + LangChain FAQ
Common questions about integrating ClickUp MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
