Can I stop a running timer through the agent?

Yes! Use the `stop_current_timer` tool. Provide your workspace and user ID, and the agent will instruct Clockify to stop the active timer immediately.

How do I see the projects for a specific workspace?

Use the `list_workspace_projects` tool with the workspace ID. Your agent will fetch all projects, allowing you to see which ones are billable and their associated clients.

Where do I find my Clockify API Key?

Log in to Clockify, go to **Settings**, and select **My Profile**. Scroll to the bottom to find and generate your API Key.

Clockify MCP Server for LangChain 8 tools — connect in under 2 minutes

Name: Clockify
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Clockify through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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({
        "clockify": {
            "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 Clockify, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

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High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Clockify MCP Server

Connect your Clockify account to any AI agent and take full control of your time tracking and project management through natural conversation. Streamline how you monitor work hours and team productivity natively.

LangChain's ecosystem of 500+ components combines seamlessly with Clockify through native MCP adapters. Connect 8 tools via the 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 you have access to natively
Project Intelligence — Access and monitor all projects and clients configured in your account flawlessly
Time Tracking — List and retrieve details for all time entries for any user in your team securely
Timer Management — Start and stop timers directly from your chat interface to ensure accurate logging flawlessly
Team Logistics — List all users and team members within a workspace to understand allocation securely
Productivity Auditing — Retrieve detailed time entry metadata including descriptions and project associations flawlessly

The Clockify 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 Clockify to LangChain via MCP

Follow these steps to integrate the Clockify 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 Clockify via MCP

Why Use LangChain with the Clockify MCP Server

LangChain provides unique advantages when paired with Clockify through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents — combine Clockify 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 Clockify queries for multi-turn workflows

Clockify + LangChain Use Cases

Practical scenarios where LangChain combined with the Clockify MCP Server delivers measurable value.

RAG with live data: combine Clockify tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Clockify, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Clockify tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Clockify tool call, measure latency, and optimize your agent's performance

Clockify MCP Tools for LangChain (8)

These 8 tools become available when you connect Clockify to LangChain via MCP:

add_new_time_entry

Add a new time entry to a workspace

get_my_clockify_profile

Retrieve information about the authenticated user

list_clockify_workspaces

List all workspaces the user has access to

list_user_time_entries

List time entries for a specific user in a workspace

list_workspace_clients

List all clients configured in a workspace

list_workspace_projects

List all projects within a specific workspace

list_workspace_users

List all users within a specific workspace

stop_current_timer

Stop the currently running timer for a specific user

Example Prompts for Clockify in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Clockify immediately.

"List all my Clockify workspaces."

"Show me the last 5 time entries for user 'John Doe'."

"Stop my running timer in the 'Engineering' workspace."

Troubleshooting Clockify MCP Server with LangChain

Common issues when connecting Clockify to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Clockify + LangChain FAQ

Common questions about integrating Clockify MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use 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?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.