Can I see my total hours for this week?

Yes! Use the `list_time_entries` tool. The agent will return your recent entries, and you can ask it to sum the hours for the current week.

How do I check which projects are currently active?

Use the `list_clicktime_projects` tool. Your agent will fetch all projects in the system, including their names and statuses.

Where do I find my ClickTime API Token?

You can obtain your token by making a Basic Auth request to the `GET /Me` endpoint using your email and password. Alternatively, check your ClickTime profile or contact your administrator.

ClickTime MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: ClickTime
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect ClickTime through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to ClickTime "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in ClickTime?"
    )
    print(result.data)

asyncio.run(main())

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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 ClickTime MCP Server

Connect your ClickTime account to any AI agent and take full control of your time tracking and resource management through natural conversation. Streamline how you monitor billable hours and project progress natively.

Pydantic AI validates every ClickTime tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Time Oversight — List and retrieve details for all time entries including hours and descriptions natively
Project Intelligence — Access and monitor all projects and clients configured in your account flawlessly
Resource Management — List all users and people in the company to understand team allocation securely
Task Logistics — Access work types and tasks available for time tracking to ensure accurate data entry flawlessly
Reporting Deep-Dives — Retrieve high-volume time reports and daily completeness summaries flawlessly
User Visibility — Access your own profile and API authentication details directly within your workspace

The ClickTime MCP Server exposes 8 tools through the Vinkius. Connect it to Pydantic AI 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 ClickTime to Pydantic AI via MCP

Follow these steps to integrate the ClickTime MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

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 ClickTime with type-safe schemas

Why Use Pydantic AI with the ClickTime MCP Server

Pydantic AI provides unique advantages when paired with ClickTime through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your ClickTime integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your ClickTime connection logic from agent behavior for testable, maintainable code

ClickTime + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the ClickTime MCP Server delivers measurable value.

Type-safe data pipelines: query ClickTime with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple ClickTime tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query ClickTime and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock ClickTime responses and write comprehensive agent tests

ClickTime MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect ClickTime to Pydantic AI via MCP:

get_high_volume_time_report

Retrieve a high-volume report of time entries (up to 2500 records)

get_my_clicktime_profile

Retrieve information about the currently authenticated user

list_clicktime_clients

List all clients configured in ClickTime

list_clicktime_jobs

List all jobs (active and inactive) in the system

list_clicktime_projects

List all projects configured in ClickTime

list_clicktime_tasks

List all tasks (work types) available for time tracking

list_clicktime_users

List all people and users in the company

list_time_entries

List time tracking entries

Example Prompts for ClickTime in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with ClickTime immediately.

"List all time entries from today in ClickTime."

"Show me all clients configured in my account."

"What is the high-volume time report status?"

Troubleshooting ClickTime MCP Server with Pydantic AI

Common issues when connecting ClickTime to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

ClickTime + Pydantic AI FAQ

Common questions about integrating ClickTime MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your ClickTime MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.