ClickTime 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 ClickTime as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 ClickTime. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in ClickTime?"
)
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 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.
LlamaIndex agents combine ClickTime 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
- 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 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 ClickTime to LlamaIndex via MCP
Follow these steps to integrate the ClickTime 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 ClickTime
Why Use LlamaIndex with the ClickTime MCP Server
LlamaIndex provides unique advantages when paired with ClickTime through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine ClickTime tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain ClickTime tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query ClickTime, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what ClickTime tools were called, what data was returned, and how it influenced the final answer
ClickTime + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the ClickTime MCP Server delivers measurable value.
Hybrid search: combine ClickTime real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query ClickTime 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 ClickTime for fresh data
Analytical workflows: chain ClickTime queries with LlamaIndex's data connectors to build multi-source analytical reports
ClickTime MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect ClickTime to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting ClickTime to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpClickTime + LlamaIndex FAQ
Common questions about integrating ClickTime 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 ClickTime 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 ClickTime to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.